devadesatky dana kyndrova

Devadesátky - Dana Kyndrová

Půl století humanisticky laděného fotografování završuje Dana Kyndrová devátou obrazovou publikací. Autorka knih stavěných na způsob příběhů se prosadila soustavným zveřejňováním nadčasových svědectví o rozmanitých stránkách společenské problematiky. Devadesátkami rekapituluje sváteční nálady konce totality i všednodenní pracovní nasazení. Původní hledisko bezprostředních postřehů získává s odstupem času na kritické dramatičnosti. Připomíná jak úpadky průmyslových podniků, tak "bouřlivé erotické akce a pompézní párty," řečeno slovy dokumentaristky. "Na pivních slavnostech teče pivo proudem a Češi jsou ve svém živlu…"

Objev podobné jako Devadesátky - Dana Kyndrová

Algerie-Togo - Dana Kyndrová, Libuše Kyndrová

Společná publikace přední české dokumentaristky Dany Kyndrová a její matky Libuše přestavuje klasické černobílé fotografie, které pojí africký původ. Zatímco dcera vystavila soubor Togo již v roce 1976 na své první autorské výstavě, její matka své fotografie z Alžírska zveřejňuje jako celek po 45 letech od jejich vzniku vůbec poprvé.

Objev podobné jako Algerie-Togo - Dana Kyndrová, Libuše Kyndrová

Podkarpatská Rus /Subcarpathian Ruthenia - Dana Kyndrová

Poprvé se Dana Kyndrová na Podkarpatskou Rus (dnes Zakarpatská Ukrajina) vypravila v srpnu 1991, pár dní po moskevském puči. Rozpad sovětského impéria byl na spadnutí a ona si tehdy naivně myslela, že tento kus země, o který nás Stalin koncem války bezostyšně okradl, by se opět mohl stát součástí Československa. Politika je však věc složitá a autorka záhy pochopila, že se žádná náprava křivd a vracení konat nebude. Po rozpadu Československa se této iluze definitivně vzdali i samotní podkarpatští Rusíni. Cesta do Evropy se jim uzavřela a marasmus, do kterého je přivedl komunistický režim, se díky katastrofální hospodářské situaci Ukrajiny začal čím dál více prohlubovat..

Objev podobné jako Podkarpatská Rus /Subcarpathian Ruthenia - Dana Kyndrová

Miloň Novotný - Hudebníci 70. - 80. léta - Dana Kyndrová, Miloň Novotný

Do dějin české fotografie se Miloň Novotný zapsal ve svých osmatřiceti letech vynikající knihou Londýn, která vyšla v období pražského jara. Po sovětské okupaci se ocitl na indexu nežádoucích autorů a nemohl publikovat. Jednou z možností, jak se uživit, byla spolupráce se Svazem českých skladatelů a koncertních umělců. Miloň Novotný však nebyl rutinní fotograf, a tak se nám díky jeho talentu a přísné umělecké selekci dochovala unikátní sbírka skvělých portrétů tehdy začínajících i slavných hudebníků. U příležitosti nedožitých devadesátin autora připravilo nakladatelství KANT ve spolupráci s fotografkou Danou Kyndrovou publikaci s více než sto šedesáti fotografiemi, které tak budou představeny veřejnosti vůbec poprvé. Součástí publikace jsou i stručné medailonky jednotlivých umělců v češtině i angličtině.

Objev podobné jako Miloň Novotný - Hudebníci 70. - 80. léta - Dana Kyndrová, Miloň Novotný

Byl jednou jeden člověk - Leonardo da Vinci

Naučný komiks představuje život a dílo Leonarda da Vinciho, renesančního génia. Forma komiksu propojená s animovaným seriálem zpřístupňuje téma dětem od 8 let. Kniha má 48 stran v českém jazyce a rozměry 21 x 29 cm.

  • Naučný obsah podaný zábavnou komiksovou formou
  • Propojení s populárním animovaným seriálem České televize
  • Vhodné pro děti od 8 let s českým jazykem
  • Kvalitní rozměry 21x29 cm pro pohodlné čtení

Objev podobné jako Byl jednou jeden člověk - Leonardo da Vinci

Efko Pytlíczech Dáma - logická hra do kapsy

Dáma je logická hra uložená v bavlněném pytlíku, vhodná pro cestování. Sada obsahuje 24 dřevěných kamenů, skládací herní plán a návod. Hra je určena pro 2 hráče od 10 let s dobou hraní přibližně 15 minut.

  • Praktický bavlněný pytlík pro snadné přenášení
  • Dřevěné hrací kameny a skládací herní plán
  • Originální design od české designérky Táni Sekerkové
  • Vyrobeno v České republice

Objev podobné jako Efko Pytlíczech Dáma - logická hra do kapsy

Rabalux 74073 stolní lampa Dayami, šedá

Šedá stolní keramická lampa Dayami s textilním stínidlem a originálně tvarovanou základnou. Vhodná pro žárovku s paticí E14 s maximálním příkonem 40 W. Ideální pro umístění na noční stolek, komodu nebo do obývacího pokoje.

  • Originální keramická základna s moderním vzorem
  • Šedé textilní stínidlo pro decentní vzhled a rozptýlené světlo
  • Elegantní design vhodný do různých interiérů
  • Možnost použití úsporné LED žárovky s paticí E14

Objev podobné jako Rabalux 74073 stolní lampa Dayami, šedá

Dámy se psy u auta, 40×50 cm, bez rámu a bez vypnutí plátna (6043120)

Sada pro malování podle čísel s motivem dam se psy u auta o rozměrech 40×50 cm. Balení obsahuje lněné plátno, sadu štětců, 34 akrylových barev a vymalovanou předlohu. Velké očíslované plochy usnadňují práci i začátečníkům.

  • Kompletní sada obsahující plátno, štětce, barvy a předlohu
  • Velké očíslované plochy vhodné pro začátečníky
  • 34 akrylových barev pro detailní výsledek
  • Kvalitní lněné plátno s tématem dopravních prostředků

Objev podobné jako Dámy se psy u auta, 40×50 cm, bez rámu a bez vypnutí plátna (6043120)

Fotbalové devadesátky (978-80-88406-33-4)

Kniha - autor Štěpán Filípek, 248 stran, česky, pevná bez přebalu lesklá Devadesátky – doba, v níž to skutečně žilo. Tedy spíš neskutečně. Svobodně, překotně, nevázaně, se vším dobrým i špatným, až divokým. A ve všech ohledech to platilo i pro fotbal – nejpopulárnější domácí sport, jenž se prolnul i s polosvětem, či rovnou podsvětím, vděčnou potravou detektivních retro seriálů. Publikace Fotbalové devadesátky tak prostřednictvím vzpomínkových témat i exkluzivních rozhovorů mapuje sportovní úspěchy se stříbrným EURO 1996, fenomén mecenášů v čele s Borisem Korbelem i čas „ještěrek“ na hlavě a návštěv Discolandu Sylvie, kde trůnil Ivan Jonák. Průvodci jsou krom jiných dva slavní fotbalisté, rivalové i parťáci, kteří byli při tom a v dobovém opelu podnikli speciální jízdu do minulosti: slávista Vladimír Šmicer a sparťan Horst Siegl.

Objev podobné jako Fotbalové devadesátky (978-80-88406-33-4)

Fotbalové devadesátky - Štěpán Filípek

Devadesátky – doba, v níž to skutečně žilo. Tedy spíš neskutečně. Svobodně, překotně, nevázaně, se vším dobrým i špatným, až divokým. A ve všech ohledech to platilo i pro fotbal – nejpopulárnější domácí sport, jenž se prolnul i s polosvětem, či rovnou podsvětím, vděčnou potravou detektivních retro seriálů. Publikace Fotbalové devadesátky tak prostřednictvím vzpomínkových témat i exkluzivních rozhovorů mapuje sportovní úspěchy se stříbrným EURO 1996, fenomén mecenášů v čele s Borisem Korbelem i čas „ještěrek“ na hlavě a návštěv Discolandu Sylvie, kde trůnil Ivan Jonák. Průvodci jsou krom jiných dva slavní fotbalisté, rivalové i parťáci, kteří byli při tom a v dobovém opelu podnikli speciální jízdu do minulosti: slávista Vladimír Šmicer a sparťan Horst Siegl.

Objev podobné jako Fotbalové devadesátky - Štěpán Filípek

Devadesátka pokračuje - Jaroslav Foglar

Letní tábor skončil a Devadesátka se vrací ke svojí běžné činnosti. Jenže mezi členy se vkrádá špatná nálada, a po jednom sporu dokonce několik chlapců oddíl opustí. Tak dojde k tomu, že vůdcem Lišek se stane Mirek Trojan, který nyní patří mezi nejvěrnější členy Devadesátky. Tomu však radost zkazí vyhrůžky jeho bývalého kamaráda Ondry. Podaří se Mirkovi najít a zničit úpis, který kdysi nerozvážně podepsal? A dokáže Tapin stmelit chlapce v oddílu s pomocí dobrodružné hry Alvarez?

Objev podobné jako Devadesátka pokračuje - Jaroslav Foglar

Devadesátka pokračuje - Jaroslav Foglar - audiokniha

Audiokniha: Letní tábor skončil a Devadesátka se vrací ke svojí běžné činnosti. Jenže mezi členy se vkrádá špatná nálada, a po jednom sporu dokonce několik chlapců oddíl opustí. Tak dojde k tomu, že vůdcem Lišek se stane Mirek Trojan, který nyní patří mezi nejvěrnější členy Devadesátky. Tomu však radost zkazí vyhrůžky jeho bývalého kamaráda Ondry. Podaří se Mirkovi najít a zničit úpis, který kdysi nerozvážně podepsal? A dokáže Tapin stmelit chlapce v oddílu s pomocí dobrodružné hry Alvarez?

Objev podobné jako Devadesátka pokračuje - Jaroslav Foglar - audiokniha

Devadesátky - Prožij a přežij - kolektiv autorů

Devadesátky – Nejzábavnější party hra plná vzpomínekProžij a přežij! Vraťte se do svérázného světa devadesátek – pulzujícího, nevkusného, divokého a svobodného. Tato originální party hra vás provede vším, co tehdy frčelo: od hudby a filmů až po módu, diskety, televizní pořady a slavná vítězství. Čeká vás 540 karet a přes 3800 úkolů, které zaručí, že vás hra jen tak neomrzí. Popisujte, hádejte, předvádějte a rýmujte pojmy spojené s devadesátkami Poslouchejte dobové hity a tipujte jejich názvy Filmové scény, televizní pořady i nezapomenutelné momenty Nečekané nástrahy a boj o návrat do roku 2000 Co rozvíjíHra podporuje komunikaci, paměť, kreativitu i týmovou spolupráci. Zároveň přináší vlnu nostalgie, která pobaví všechny, kdo prožili konec 20. století.Obsah balení 540 herních karet s 3 820 úkoly Skládací hrací deska z pevného kartonu 3 figurky, přesýpací hodiny Pravidla v českém jazyce Počet hráčů: 3–20 Doba hry: od 45 minut Rozměry balení: 30 × 30 × 7,5 cmIdeální jako narozeninový nebo vánoční dárek pro všechny, kteří s nostalgií vzpomínají na svět bez mobilů a internetu, éru kazet, vítězství v Naganu nebo nezapomenutelné počítačové hry. Vhodné od 15 let.

Objev podobné jako Devadesátky - Prožij a přežij - kolektiv autorů

Devadesátky (2 DVD) - Seriál

DVD film Devadesátky [2022]. Český seriál. Česká televize. Dolby Digital. Šestidílná kriminální série podle skutečných událostí. Od policisty, který je zažil. Na počátku 90. let čelí policisté pražského 1. oddělení narůstajícímu množství zločinů. Ať už jde o vyřizování účtů mezi špičkami podsvětí, střety příslušníků zahraničních mafií nebo o kriminální činy těch, co se rozhodli v nových časech rychle zbohatnout. Kam pachatelé odklízejí těla, která se nikdy nenašla? Do jaké hloubky se dokáží ponořit policejní potápěči a co nakonec pachatele usvědčí?DVD 11. Poprava bodyguarda 1:04:00 2. Král diskoték 1:08:00 3. Kleopatra 1:18:00 DVD 2 1. Přehrada 1:08:00 2. Sudy 1:06:00 3. Přiznání 1:18:00

Objev podobné jako Devadesátky (2 DVD) - Seriál

Devadesátky!: Roky nespoutané svobody (978-80-264-4200-4)

Kniha - autor Johana Fundová, 288 stran, česky, pevná bez přebalu lesklá Pamatujete si na dobu, kdy jste každou sobotu obědvali u Volejte řediteli, v neděli nakupovali nanuky u Family Frostu a odpoledne koukali na nové díly Beverly Hills 90210? Pak je tato unikátní publikace právě pro vás. Těšit se můžete nejen na mimořádně pestré vzpomínky osobností, ale také na charakteristiku různých oblastí devadesátkové éry – od gastronomie, módy nebo erotiky až po nezapomenutelné sportovní a hudební události.

Objev podobné jako Devadesátky!: Roky nespoutané svobody (978-80-264-4200-4)

Devadesátky! - Johana Fundová

Pamatujete si na dobu, kdy jste každou sobotu obědvali u Volejte řediteli, v neděli nakupovali nanuky u Family Frostu a odpoledne koukali na nové díly Beverly Hills 90210? Pak je tato unikátní publikace právě pro vás. Těšit se můžete nejen na mimořádně pestré vzpomínky osobností, ale také na charakteristiku různých oblastí devadesátkové éry – od gastronomie, módy nebo erotiky až po nezapomenutelné sportovní a hudební události.

Objev podobné jako Devadesátky! - Johana Fundová

Plzeňské devadesátky - Jaroslav Vogeltanz, Petr Mazný

Kniha Plzeňské devadesátky zachycuje přelomové období v historii Plzně. Připomíná první aukce, nové možnosti podnikání, osudy největších podniků i třeba velké zvýšení kriminality. Město se začalo rychle měnit - otlučené fasády zmizely a domy se začaly vybarvovat. Plzeň díky blízkosti bavorské hranice měla poněkud jiné podmínky ke změnám než některá jiná velká města. Kniha vychází z tehdejšího tisku a je doplněna velkým množstvím dobových fotografií.

Objev podobné jako Plzeňské devadesátky - Jaroslav Vogeltanz, Petr Mazný

Big Data Fundamentals - Thomas Erl, Paul Buhler, Wajid Khattak

“This text should be required reading for everyone in contemporary business.” --Peter Woodhull, CEO, Modus21 “The one book that clearly describes and links Big Data concepts to business utility.” --Dr. Christopher Starr, PhD “Simply, this is the best Big Data book on the market!” --Sam Rostam, Cascadian IT Group “...one of the most contemporary approaches I’ve seen to Big Data fundamentals...” --Joshua M. Davis, PhD The Definitive Plain-English Guide to Big Data for Business and Technology Professionals Big Data Fundamentals provides a pragmatic, no-nonsense introduction to Big Data. Best-selling IT author Thomas Erl and his team clearly explain key Big Data concepts, theory and terminology, as well as fundamental technologies and techniques. All coverage is supported with case study examples and numerous simple diagrams. The authors begin by explaining how Big Data can propel an organization forward by solving a spectrum of previously intractable business problems. Next, they demystify key analysis techniques and technologies and show how a Big Data solution environment can be built and integrated to offer competitive advantages. Discovering Big Data’s fundamental concepts and what makes it different from previous forms of data analysis and data science Understanding the business motivations and drivers behind Big Data adoption, ... Unknown localization key: "more"

Objev podobné jako Big Data Fundamentals - Thomas Erl, Paul Buhler, Wajid Khattak

Azure Data Engineer Associate Certification Guide - Newton Alex

Become well-versed with data engineering concepts and exam objectives to achieve Azure Data Engineer Associate certificationKey FeaturesUnderstand and apply data engineering concepts to real-world problems and prepare for the DP-203 certification examExplore the various Azure services for building end-to-end data solutionsGain a solid understanding of building secure and sustainable data solutions using Azure servicesBook DescriptionAzure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other. Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout ... Unknown localization key: "more"

Objev podobné jako Azure Data Engineer Associate Certification Guide - Newton Alex

Data Analysis with Python - Rituraj Dixit

An Absolute Beginner''s Guide to Learning Data Analysis Using Python, a Demanding Skill for TodayKey FeaturesHands-on learning experience of Python''s fundamentals.Covers various examples of how to code end-to-end data analysis with easy illustrations.An excellent starting point to begin your data analysis journey with Python programming.DescriptionIn an effort to provide content for beginners, the book Data Analysis with Python provides a concrete first step in learning data analysis. Written by a data professional with decades of experience, this book provides a solid foundation in data analysis and numerous data science processes. In doing so, readers become familiar with common Python libraries and straightforward scripting techniques.Python and many of its well-known data analysis libraries, such as Pandas, NumPy, and Matplotlib, are utilized throughout this book to carry out various operations typical of data analysis projects.Following an introduction to Python programming fundamentals, the book combines well-known numerical calculation and statistical libraries to demonstrate the fundamentals of programming, accompanied by many practical examples. This book provides a solid groundwork for data analysis by teaching Python programming as well as Python''s built-in data analysis capabilities.What you will learnLearn the fundamentals of core Python programming for data analysis.Master Python''s most demanding data analysis and visualization libraries, ... Unknown localization key: "more"

Objev podobné jako Data Analysis with Python - Rituraj Dixit

Click, Connect, Compute: Data, Big and Small - Dr Dharini Balasubramaniam

Data science fundamentals, using clear, expert explanations and comic illustrations to spark interest and enthusiasm in the next generation of computer scientists!Data, Big and Small delves into the details behind computer science data and information, which help people and organisations to make decisions. Learn how and why data are created, stored and shared. Find out how we make sense of information through graphs, maps and pictures, and understand how machines learn from the data that we feed them. The end of the book fast-forwards to the future of computer science, data and robotics, and considers what it might mean to live in a ''smarter'' world.Contents: What are data? / Data, information and knowledge / Data are vital / Where do data come from? / Getting the format right / Storing all those data / The value is in the processing / Picture it! / Big data / Getting the most out of data / Keeping data secure / A trip into the future of data ... / Pioneer portraits / Further information / Glossary / Quiz yourself! / IndexThe Click, Connect, Compute series untangles the computer science web and teaches children about the essentials of computer software, hardware and digital ... Unknown localization key: "more"

Objev podobné jako Click, Connect, Compute: Data, Big and Small - Dr Dharini Balasubramaniam

Effective Data Storytelling - Brent Dykes

Master the art and science of data storytelling—with frameworks and techniques to help you craft compelling stories with data. The ability to effectively communicate with data is no longer a luxury in today’s economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative—to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories. Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling—data, narrative, and visuals—and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to: Transform your insights and data visualizations into appealing, impactful data storiesLearn the fundamental elements of a data story and key audience driversUnderstand the differences between how the brain ... Unknown localization key: "more"

Objev podobné jako Effective Data Storytelling - Brent Dykes

Become a Great Data Storyteller - Angelica Lo Duca

Unlock the power of data storytelling to create change Become a Great Data Storyteller: Learn How You Can Drive Change with Data is a transformational journey guided by author and researcher Angelica Lo Duca. This insightful guide challenges the conventional approach to data visualization by emphasizing the creation of compelling data stories. With a focus on understanding the audience's needs, this book offers a unique value proposition: teaching you how to weave raw data into engaging, narrative-driven presentations that can significantly impact decision-making and generate organizational change. The author masterfully demonstrates the process of building a data story, from creating relatable characters with clear objectives to tailoring these narratives for specific audiences. You'll discover your role as a narrative guide, learning how to employ the power of context to make your data-driven stories not just informative but captivating. This book sets itself apart by focusing on the human aspect of data storytelling, ensuring your narratives resonate deeply with your audience. In the book, you'll: Learn to craft engaging data narratives that go beyond charts and graphs, making your presentations memorable and impactfulTailor your data stories to meet the specific needs and interests of your audience, enhancing understanding and engagementPosition yourself ... Unknown localization key: "more"

Objev podobné jako Become a Great Data Storyteller - Angelica Lo Duca

Developing Data Migrations and Integrations with Salesforce - David Masri

Migrate your data to Salesforce and build low-maintenance and high-performing data integrations to get the most out of Salesforce and make it a "go-to" place for all your organization''s customer information.When companies choose to roll out Salesforce, users expect it to be the place to find any and all Information related to a customer-the coveted Client 360° view. On the day you go live, users expect to see all their accounts, contacts, and historical data in the system. They also expect that data entered in other systems will be exposed in Salesforce automatically and in a timely manner. This book shows you how to migrate all your legacy data to Salesforce and then design integrations to your organization''s mission-critical systems. As the Salesforce platform grows more powerful, it also grows in complexity. Whether you are migrating data to Salesforce, or integrating with Salesforce, it is important to understand how these complexities need to be reflected in your design. Developing Data Migrations and Integrations with Salesforce covers everything you need to know to migrate your data to Salesforce the right way, and how to design low-maintenance, high-performing data integrations with Salesforce. This book is written by a practicing Salesforce integration architect ... Unknown localization key: "more"

Objev podobné jako Developing Data Migrations and Integrations with Salesforce - David Masri

Data Science Bookcamp - Leonard Apeltsin

Learn data science with Python by building five real-world projects! In Data Science Bookcamp you’ll test and build your knowledge of Python and learn to handle the kind of open-ended problems that professional data scientists work on daily. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career. about the technologyIn real-world practice, data scientists create innovative solutions to novel open ended problems. Easy to learn and use, the Python language has become the de facto language for data science amongst researchers, developers, and business users. But knowing a few basic algorithms is not enough to tackle a vague and thorny problem. It takes relentless practice at cracking difficult data tasks to achieve mastery in the field. That’s just what this book delivers. about the book Data Science Bookcamp is a comprehensive set of challenging projects carefully designed to grow your data science skills from novice to master. Veteran data scientist Leonard Apeltsin sets five increasingly difficult exercises that test your abilities against the kind of problems you’d encounter in the real world. As you solve each challenge, you’ll acquire and expand the ... Unknown localization key: "more"

Objev podobné jako Data Science Bookcamp - Leonard Apeltsin

Data Storytelling with Generative AI - Angelica Duca

Great data presentations tell a story. Learn how to organize, visualize, and present data using Python, generative AI, and the cutting-edge Altair data analysis toolkit.After you''ve crunched, sliced, and organized your data behind the scenes, you need to present it in a way that tells a story. With Python''s Altair library and generative AI tools like Copilot and ChatGPT, it''s never been easier to create intuitive data presentations.In Data Storytelling with Generative AI you''ll discover: Using Python Altair for data visualization Using Generative AI tools for data storytelling The main concepts of data storytelling Building data stories with the DIKW pyramid approach Transforming raw data into a data story Data Storytelling with Generative AI teaches you how to turn raw data into effective, insightful data stories. You''ll learn exactly what goes into an effective data story, then combine your Python data skills with the Altair library and AI tools to rapidly create amazing visualizations. Your bosses and decision-makers will love your new presentations—and you''ll love how quick Generative AI makes the whole process!

Objev podobné jako Data Storytelling with Generative AI - Angelica Duca

Click, Connect, Compute: Data, Big and Small - Dr Dharini Balasubramaniam

Data science fundamentals, using clear, expert explanations and comic illustrations to spark interest and enthusiasm in the next generation of computer scientists!Data, Big and Small delves into the details behind computer science data and information, which help people and organisations to make decisions. Learn how and why data are created, stored and shared. Find out how we make sense of information through graphs, maps and pictures, and understand how machines learn from the data that we feed them. The end of the book fast-forwards to the future of computer science, data and robotics, and considers what it might mean to live in a ''smarter'' world.Contents: What are data? / Data, information and knowledge / Data are vital / Where do data come from? / Getting the format right / Storing all those data / The value is in the processing / Picture it! / Big data / Getting the most out of data / Keeping data secure / A trip into the future of data ... / Pioneer portraits / Further information / Glossary / Quiz yourself! / IndexThe Click, Connect, Compute series untangles the computer science web and teaches children about the essentials of computer software, hardware and digital ... Unknown localization key: "more"

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Building a Scalable Data Warehouse with Data Vault 2.0 - Daniel Linstedt, Michael Olschimke

The Data Vault was invented by Dan Linstedt at the U.S. Department of Defense, and the standard has been successfully applied to data warehousing projects at organizations of different sizes, from small to large-size corporations. Due to its simplified design, which is adapted from nature, the Data Vault 2.0 standard helps prevent typical data warehousing failures. "Building a Scalable Data Warehouse" covers everything one needs to know to create a scalable data warehouse end to end, including a presentation of the Data Vault modeling technique, which provides the foundations to create a technical data warehouse layer. The book discusses how to build the data warehouse incrementally using the agile Data Vault 2.0 methodology. In addition, readers will learn how to create the input layer (the stage layer) and the presentation layer (data mart) of the Data Vault 2.0 architecture including implementation best practices. Drawing upon years of practical experience and using numerous examples and an easy to understand framework, Dan Linstedt and Michael Olschimke discuss: How to load each layer using SQL Server Integration Services (SSIS), including automation of the Data Vault loading processes. Important data warehouse technologies and practices. Data Quality Services (DQS) and Master Data Services (MDS) in ... Unknown localization key: "more"

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Interactive Visual Data Analysis - Christian Tominski, Heidrun Schumann

In the age of big data, being able to make sense of data is an important key to success. Interactive Visual Data Analysis advocates the synthesis of visualization, interaction, and automatic computation to facilitate insight generation and knowledge crystallization from large and complex data.The book provides a systematic and comprehensive overview of visual, interactive, and analytical methods. It introduces criteria for designing interactive visual data analysis solutions, discusses factors influencing the design, and examines the involved processes. The reader is made familiar with the basics of visual encoding and gets to know numerous visualization techniques for multivariate data, temporal data, geo-spatial data, and graph data. A dedicated chapter introduces general concepts for interacting with visualizations and illustrates how modern interaction technology can facilitate the visual data analysis in many ways. Addressing today’s large and complex data, the book covers relevant automatic analytical computations to support the visual data analysis. The book also sheds light on advanced concepts for visualization in multi-display environments, user guidance during the data analysis, and progressive visual data analysis.The authors present a top-down perspective on interactive visual data analysis with a focus on concise and clean terminology. Many real-world examples and rich illustrations make the book ... Unknown localization key: "more"

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Big Data Concepts, Technologies, and Applications - Mohammad Shahid Husain, Tamanna Siddiqui, Mohammad Zunnun Khan

With the advent of such advanced technologies as cloud computing, the Internet of Things, the Medical Internet of Things, the Industry Internet of Things and sensor networks as well as the exponential growth in the usage of Internet-based and social media platforms, there are enormous oceans of data. These huge volumes of data can be used for effective decision making and improved performance if analyzed properly. Due to its inherent characteristics, big data is very complex and cannot be handled and processed by traditional database management approaches. There is a need for sophisticated approaches, tools and technologies that can be used to store, manage and analyze these enormous amounts of data to make the best use of them.Big Data Concepts, Technologies, and Applications covers the concepts, technologies, and applications of big data analytics. Presenting the state-of-the-art technologies in use for big data analytics. it provides an in-depth discussion about the important sectors where big data analytics has proven to be very effective in improving performance and helping industries to remain competitive. This book provides insight into the novel areas of big data analytics and the research directions for the scholars working in the domain. Highlights include:The advantages, disadvantages and challenges ... Unknown localization key: "more"

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SQL for Data Scientists - Renee M. P. Teate

Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that’s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn’t cover SQL broadly. Instead, you’ll learn the subset of SQL skills that data analysts and data scientists use frequently. You’ll also gain practical advice and direction on ... Unknown localization key: "more"

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Mastering Marketing Data Science - Iain Brown

Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares ... Unknown localization key: "more"

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Exam Ref 70-767 Implementing a SQL Data Warehouse - Jose Chinchilla, Raj Uchhana

Prepare for Microsoft Exam 70-767–and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Transform, Load (ETL) data warehouse developers who create business intelligence (BI) solutions. Their responsibilities include data cleansing as well as ETL and data warehouse implementation. The reader should have experience installing and implementing a Master Data Services (MDS) model, using MDS tools, and creating a Master Data Manager database and web application. The reader should understand how to design and implement ETL control flow elements and work with a SQL Service Integration Services package. Focus on the expertise measured by these objectives: • Design, and implement, and maintain a data warehouse • Extract, transform, and load data • Build data quality solutionsThis Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you have working knowledge of relational database technology and incremental database extraction, as well as experience with designing ETL control flows, using and debugging SSIS packages, accessing and importing or exporting data from multiple sources, and managing a SQL data warehouse. Implementing a SQL Data Warehouse About the Exam Exam 70-767 focuses on skills and knowledge ... Unknown localization key: "more"

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Graph Algorithms for Data Science - Bratanic Tomaz

Graphs are the natural way to understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with practical examples and concrete advice on implementation and deployment. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It''s filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You''ll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. You don''t need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. about the technology Graphs reveal ... Unknown localization key: "more"

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Data Mesh in Action - Marian Siwiak, Jacek Majchrzak, Sven Balnojan

About The BookRevolutionize the way your organization approaches data with a data mesh! This new decentralized architecture outpaces monolithic lakes and warehouses and can work for a company of any size.Data Mesh in Action reveals how this groundbreaking architecture looks for both small startups and large enterprises. You''ll see a data mesh in action as you explore both an extended case study and multiple real-world examples. As you go, you''ll be expertly guided through discussions around Socio-Technical Architecture and Domain-Driven Design with the goal of building a sleek data-as-a-product system.About the technologyA data mesh decentralizes data ownership and keeps it close to decision makers and domain experts. The results are clear: better description and structuring, easier scaling, and removing the bottlenecks of centralized monolithic data architecture. Best of all, you won''t need any new technology—his book shows you how to immediately start implementing a data mesh with flexible processes and organizational change.- Move from your current data architecture to a data mesh- Identify data domains, and decompose an organization into smaller, manageable domains - Set up the central governance and local governance levels over data - Balance responsibilities between the two levels of governance - Establish a platform that allows ... Unknown localization key: "more"

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Halo Data - Peter Jackson, Caroline Carruthers

The past two decades have seen an explosion both in the volume of data we use, and our understanding of its management.However, while techniques and technology for manipulating data have advanced rapidly in this time, the concepts around the value of our data have not. This lack of progress has made it increasingly difficult for organisations to understand the value in their data, the value of their data and how exploit that value. Halo Data proposes a paradigm shift in methodology for organisations to properly appreciate and leverage the value of their data. Written by an author team with many years’ experience in data strategy, management and technology, the book will first review the current state of our understanding of data. This opening will demonstrate the limitations of this status quo, including a discussion on metadata and its limitations, data monetisation and data-driven business models. Following this, the book will present a new concept and framework for understanding and quantifying value in an organisation’s data and a practical methodology for using this in practice.Ideal for data leaders and executives who are looking to leverage the data at their fingertips.

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DAMA-DMBOK Guide

Written by over 120 data management practitioners, this is the most impressive compilation of data management principals and best practices, ever assembled. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure. The equivalent of the PMBOK or the BABOK, the DAMA-DMBOK provides information on: Data Governance; Data Architecture Management; Data Development; Database Operations Management; Data Security Management; Reference & Master Data Management; Data Warehousing & Business Intelligence Management; Document & Content Management; Meta Data Management; Data Quality Management; Professional Development. As an authoritative introduction to data management, the goals of the DAMA-DMBOK Guide are: To build consensus for a generally applicable view of data management functions; To provide standard definitions for commonly used data management functions, deliverables, roles, and other terminology; To document guiding principles for data management; To present a vendor-neutral overview to commonly accepted good practices, widely adopted methods and techniques, and significant alternative approaches; To clarify the scope and boundaries of data management; To act as a reference which guides readers to additional resources for further understanding.

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Data and Analytics for Instructional Designers - Megan Torrance

Add Data and Analytics to Your TD ToolkitInstructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance data—from how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences. With the advance of new learning technologies and data specifications, instructional designers have access to more and richer data sources than ever before. With that comes the question of what to do with the data. While most data and analytics books focus on their application for measurement and evaluation and assume a prior baseline understanding of what learning data and analytics mean, Data and Analytics for Instructional Designers delves into the foundational concepts that will enable instructional designers and L&D professionals to use data in their roles. Split into two parts, the book first defines key data and analytics terms, data specifications, learning metrics, and statistical concepts. It then lays out a framework for using learning data for planning how to gather data and to building scale and maturity in your data operations. Megan reassures readers that basic math skills with some computer assistance is what you’ll need to get going. So set ... Unknown localization key: "more"

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R for Data Science - Grolemund Garrett, Hadley Wickham, Mine Cetinkaya-Rundel

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse-a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly.You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way.Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You'll learn how to:Visualize-create plots for data exploration and communication of resultsTransform-discover types of variables and the tools you can use to work with themImport-get data into R and in a form convenient for analysisProgram-learn R tools for solving data problems with ... Unknown localization key: "more"

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The Data Hero Playbook - Malcolm Hawker

For thirty years, “best practices” in data have delivered bigger platforms, thicker slide decks, and disappointing outcomes. The problem isn’t technology. It’s mindset. The Data Hero Playbook reveals how limiting beliefs—learned helplessness, all-or-nothing thinking, externalized blame—have kept data from becoming truly transformational. The cure is a growth mindset, put into action through practical steps any data professional can take. You’ll discover how to: Put customers at the center of every decision. Apply product management principles to data work. Quantify value in revenue, cost savings, and risk reduction. Run data as if it were a P&L. Deliver fast wins with a Data Strategy MVP in weeks, not months. Unflinching about what hasn’t worked yet unapologetically hopeful about what’s next, this book is a call to arms for data leaders ready to escape the status quo. If you want to stop explaining why data should matter and start proving it with measurable results, The Data Hero Playbook is your guide. Become the data hero your company actually needs.

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Data Governance For Dummies - Jonathan Reichental

How to build and maintain strong data organizations—the Dummies way Data Governance For Dummies offers an accessible first step for decision makers into understanding how data governance works and how to apply it to an organization in a way that improves results and doesn't disrupt. Prep your organization to handle the data explosion (if you know, you know) and learn how to manage this valuable asset. Take full control of your organization’s data with all the info and how-tos you need. This book walks you through making accurate data readily available and maintaining it in a secure environment. It serves as your step-by-step guide to extracting every ounce of value from your data. Identify the impact and value of data in your businessDesign governance programs that fit your organizationDiscover and adopt tools that measure performance and needAddress data needs and build a more data-centric business cultureThis is the perfect handbook for professionals in the world of data analysis and business intelligence, plus the people who interact with data on a daily basis. And, as always, Dummies explains things in terms anyone can understand, making it easy to learn everything you need to know.

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Afterlives of Data - Mary F.E. Ebeling

What our health data tell American capitalism about our value—and how that controls our lives. Afterlives of Data follows the curious and multiple lives that our data live once they escape our control. Mary F. E. Ebeling's ethnographic investigation shows how information about our health and the debt that we carry becomes biopolitical assets owned by healthcare providers, insurers, commercial data brokers, credit reporting companies, and platforms. By delving into the oceans of data built from everyday medical and debt traumas, Ebeling reveals how data about our lives come to affect our bodies and our life chances and to wholly define us. Investigations into secretive data collection and breaches of privacy by the likes of Cambridge Analytica have piqued concerns among many Americans about exactly what is being done with their data. From credit bureaus and consumer data brokers like Equifax and Experian to the secretive military contractor Palantir, this massive industry has little regulatory oversight for health data and works to actively obscure how it profits from our data. In this book, Ebeling traces the health data—medical information extracted from patients' bodies—that are digitized and repackaged into new data commodities that have afterlives in database lakes and oceans, algorithms, ... Unknown localization key: "more"

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The Health Care Data Guide - Lloyd P. Provost, Sandra K. Murray

An Essential text on transforming raw data into concrete health care improvements Now in its second edition, The Health Care Data Guide: Learning from Data for Improvement delivers a practical blueprint for using available data to improve healthcare outcomes. In the book, a team of distinguished authors explores how health care practitioners, researchers, and other professionals can confidently plan and implement health care enhancements and changes, all while ensuring those changes actually constitute an improvement. This book is the perfect companion resource to The Improvement Guide: A Practical Approach to Enhancing Organizational Peformance, Second Edition, and offers fulsome discussions of how to use data to test, adapt, implement, and scale positive organizational change. The Health Care Data Guide: Learning from Data for Improvement, Second Edition provides: Easy to use strategies for learning more readily from existing health care data Clear guidance on the most useful graph for different types of data used in health care A step-by-step method for making use of highly aggregated data for improvement Examples of using patient-level data in care Multiple methods for making use of patient and other feedback data A vastly better way to view data for executive leadership Solutions for working with rare ... Unknown localization key: "more"

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Qualitative Data Collection Tools - Felice D. Billups

Qualitative Data Collection Tools is a new and unique supplementary text that will guide students and new researchers to design, develop, pilot, and employ qualitative tools in order to collect qualitative data. An often-omitted subject in general qualitative textbooks, qualitative tools form the backbone of the data collection process. Students and new researchers are frequently left to create their own qualitative tools from scratch, an unnecessary hurdle in the qualitative research design process. Author Felice D. Billups has used her experience as a qualitative researcher, and in teaching and advising students about qualitative research, to develop the templates in this book as a starting point for readers conducting original qualitative research. The author briefly describes each method of data collection and offers readers suggestions for using and adapting the qualitative instrument templates within the text. Templates of interview protocols, focus group moderator guides, content analysis tools, document analysis tools, reflective questionnaires, diary and journal logs, and observational rubrics give the reader either a cut-and-paste solution for their own research or a starting point to design their own personalized qualitative tools. The first three chapters illuminate the qualitative data collection process and the role each type of qualitative tool plays in ... Unknown localization key: "more"

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Data for All - John K. Thompson

Gain in-depth knowledge about how companies manipulate and exploit personal data. A book that does not require particular technical knowledge – just mere curiosity to explore the subject. From tech experts to the general public, Data for All is the ground-breaking guide to help with the ways third parties use personal data. Written by bestselling author John K Thompson, this edition will aid your understanding of areas, such as The types of data you generate with every action, every day Where your data is stored, who controls it, and how much money they make from it How you can manage access and monetisation of your own data Restricting data access to only companies and organisations you want to support The history of how we think about data, and why that is changing The new data ecosystem is being built right now for your benefit About the technology For years, companies have had free rein to use every click, purchase, and “like” you make, to earn money. Now, across the globe, new laws have been written, passed, and are coming into force, giving individuals the right to access, delete, and monetise their own data. This book provides a vision of how ... Unknown localization key: "more"

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Thinking Clearly with Data - Anthony Fowler, Ethan Bueno de Mesquita

An engaging introduction to data science that emphasizes critical thinking over statistical techniquesAn introduction to data science or statistics shouldn’t involve proving complex theorems or memorizing obscure terms and formulas, but that is exactly what most introductory quantitative textbooks emphasize. In contrast, Thinking Clearly with Data focuses, first and foremost, on critical thinking and conceptual understanding in order to teach students how to be better consumers and analysts of the kinds of quantitative information and arguments that they will encounter throughout their lives. Among much else, the book teaches how to assess whether an observed relationship in data reflects a genuine relationship in the world and, if so, whether it is causal; how to make the most informative comparisons for answering questions; what questions to ask others who are making arguments using quantitative evidence; which statistics are particularly informative or misleading; how quantitative evidence should and shouldn’t influence decision-making; and how to make better decisions by using moral values as well as data. Filled with real-world examples, the book shows how its thinking tools apply to problems in a wide variety of subjects, including elections, civil conflict, crime, terrorism, financial crises, health care, sports, music, and space travel. Above all ... Unknown localization key: "more"

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Making Data

For many outside of the scientific community, big data and the forms it takes, such as statistical lists, spreadsheets and graphs, often seem abstract and unintelligible. This book investigates how digital fabrication and traditional making approaches are being used to present data in newly engaging and interesting ways.The first part of the book introduces the basic premise of the data object and the concept of making digital data into a physical form. Contributors cover topics such as biometrics, new technology, the economics of data and open and community uses of data. The second part presents a selection of exemplar forms and contexts for the application of data-objects, such as smart surfaces, smart cities, augmented reality techniques and next generation technical interfaces that blend physical and digital elements.Making Data delivers the importance and likely future prevalence of physical representations of data. It explores the creative methods, processes, theories and cultural histories of making physical representations of information and proposes that the making of data into physical objects is the next important development in the data visualisation phenomenon.

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Public Data Cultures - Jonathan W. Y. Gray

Public data shapes what we know and how we live together. It is often digital, freely available and related to matters of shared concern, from global warming graphs to collaborative spreadsheets documenting mass layoffs. Public Data Cultures explores the practices and cultures of how data is made public in the age of the Internet. Looking beyond familiar narratives of data as a resource to be liberated or protected, this book offers new perspectives on public data as networked cultural material, as medium of participation and as site of transnational politics. To better account for how data makes a difference, the book argues for a more expansive conception of what is involved in making data public. It focuses not just on removing restrictions but also on caring for arrangements involved in making data public in ways that grow shared understanding and solidarity in responding to the many intersecting troubles of our times. Nurturing critical and creative engagements with data, this book is essential reading for students and scholars of media, science and technology studies and digital humanities, as well as artists, designers, journalists and activists working with data.

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Python for Data Science For Dummies - John Paul Mueller, Luca Massaron

Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets you get your hands dirty with data using one of the top programming languages. This beginner’s guide takes you step by step through getting started, performing data analysis, understanding datasets and example code, working with Google Colab, sampling data, and beyond. Coding your data analysis tasks will make your life easier, make you more in-demand as an employee, and open the door to valuable knowledge and insights. This new edition is updated for the latest version of Python and includes current, relevant data examples. Get a firm background in the basics of Python coding for data analysisLearn about data science careers you can pursue with Python coding skillsIntegrate data analysis with multimedia and graphics Manage and organize data with cloud-based relational databasesPython careers are on the rise. Grab this user-friendly Dummies guide and gain the programming skills you need to become a data pro.

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Data-Driven Decisions - Amy Stubbing

Data-Driven Decisions: A Practical Toolkit for Library and Information Professionals is a simple, jargon-free guide to using data for decision making in library services. The book walks readers step-by-step through each stage of implementing, reviewing and embedding data-driven decisions in their organisation, providing accessible visualisations, top tips, and downloadable tools to support readers on their data journey. Starting with the absolute basics of using data, the author creates a framework for building skills and knowledge slowly until the reader is comfortable with even complex uses of data. The book begins with an exploration of the foundations of data-driven decisions in libraries including a look at the impact of the current financial climate on resources, theoretical foundations of data collection and analysis, and how this book can be used in practice. The next section takes readers through the data-driven decisions model, providing a guide for understanding and a manual for implementation of the model. Finally, the book provides further perspectives and reading surrounding analysis and implementation of data-driven decisions. This section aims to give supplementary and focused information on different areas of data-driven decisions which can be included in processes once the reader understands the foundation of the book from earlier ... Unknown localization key: "more"

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