Packt Publishing, 2018. — 593 p. — ISBN: 1788835824. A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book...
Packt Publishing, 2018. — 593 p. — ISBN: 1788835824. !Code files only A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and...
Wiley, 2021. — 327 p. — ISBN 9781119690924. Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the...
Wiley, 2021. — 326 p. — ISBN 9781119690924. Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the...
Wiley, 2021. — 326 p. — ISBN 9781119690924. Provides expert guidance and valuable insights on getting the most out of Big Data systems An array of tools are currently available for managing and processing data—some are ready-to-go solutions that can be immediately deployed, while others require complex and time-intensive setups. With such a vast range of options, choosing the...
Apress, 2016. — 147 p. in color. — ISBN: 9781484213278 This book highlights the different types of data architecture and illustrates the many possibilities hidden behind the term "Big Data", from the usage of No-SQL databases to the deployment of stream analytics architecture, machine learning, and governance. Scalable Big Data Architecture covers real-world, concrete industry...
Packt Publishing, 2014. — 96 p. Data volume is growing fast. However, data integration tools are not scalable enough to process such an amount of data, and thus, more and more companies are thinking about starting Big Data projects—diving into the Hadoop ecosystem projects, understanding each technology, learning MapReduce, Hive SQL, and Pig-Latin—thereby becoming more of a burden...
O’Reilly Media, 2013. — 32 p. — ISBN: 978-1-449-36421-2. How Fast Is Fast? How Real Is Real Time? The RTBDA Stack The Five Phases of Real Time How Big Is Big? of a Larger Trend
O’Reilly Media, Inc., 2024. — 526 p. — ISBN-13: 978-1-098-10752-9. Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and...
O’Reilly Media, Inc., 2024. — 526 p. — ISBN-13: 978-1-098-10752-9. Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and...
O’Reilly Media, Inc., 2024. — 526 p. — ISBN-13: 978-1-098-10752-9. Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and...
O’Reilly Media, Inc., 2024. — 526 p. — ISBN-13: 978-1-098-10752-9. Analytics projects are frequently long, drawn-out affairs, requiring multiple teams and skills to clean, join, and eventually turn data into analysis for timely decision-making. Alteryx Designer changes all of that. With this low-code, self-service, drag-and-drop workflow platform, new and experienced data and...
Wiley-IEEE Press, 2024. — 240 p. Practical resource on the importance of Machine Learning and Deep Learning applications in various technologies and real-world situations. Machine Learning Applications discusses methodological advancements of Machine Learning and Deep Learning, presents applications in image processing, including face and vehicle detection, image...
Data Science, 2018. — 218 p. — ISBN10: 1723141208. If you are looking to start a new career that is in high demand, then you need to continue reading. Data scientists are changing the way big data is used in different institutions. Big data is everywhere, but without the right person to interpret it, it means nothing. So where do business find these people to help change their...
O’Reilly Media, Inc., 2024. — 373 р. — ISBN-13: 978-1-492-09774-7. Many organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores, it's become more difficult for organizations to protect an individual's information through deidentification, anonymization, and other...
O’Reilly Media, Inc., 2024. — 373 р. — ISBN-13: 978-1-492-09774-7. Many organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores, it's become more difficult for organizations to protect an individual's information through deidentification, anonymization, and other...
O’Reilly Media, Inc., 2024. — 373 р. — ISBN-13: 978-1-492-09774-7. Many organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores, it's become more difficult for organizations to protect an individual's information through deidentification, anonymization, and other...
O’Reilly Media, Inc., 2024. — 362 р. — ISBN 978-1-492-09774-7. Many organizations today analyze and share large, sensitive datasets about individuals. Whether these datasets cover healthcare details, financial records, or exam scores, it's become more difficult for organizations to protect an individual's information through deidentification, anonymization, and other...
Packt Publishing, 2018. — 312 p. — ISBN: 1783554398. Big Data Analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to bring out hidden patterns and insights from the data which otherwise cannot be analyzed through traditional systems. Through this book, you'll learn to setup big data environment on the AWS/Azure...
Packt Publishing, 2018. — 312 p. — ISBN: 1783554398. Big Data Analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to bring out hidden patterns and insights from the data which otherwise cannot be analyzed through traditional systems. Through this book, you'll learn to setup big data environment on the AWS/Azure...
Apress , 2014. — 236 p. — ISBN: 1484200411 Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp explains what big data is and how you can use it in your company to become one of tomorrow’s market leaders. Along the way, it explains the very latest technologies, companies, and advancements. Big data...
Springer-Verlag Berlin Heidelberg, 2012. — 241 p. — ISBN 978-3-642-28046-7, ISBN 978-3-642-28047-4 (eBook) The reader will now be left to enjoy following the journeys of some of the great data miners that we all admire. As mentioned previously, the list of contributors that have kindly devoted their precious time to share their journeys with us represent only some of the...
Chapman and Hall/CRC, 2023. — 132 р. — ISBN-13: 978-1032275055. In the midst of the fourth industrial revolution, big data is weighed in gold, placing enormous power in the hands of data scientists – the modern AI alchemists. But great power comes with greater responsibility. This book seeks to shape, in a practical, diverse, and inclusive way, the ethical compass of those...
O’Reilly Media, 2019. — 223 p. — ISBN: 978-1-49155-4. Enterprises are experimenting with using Hadoop to build Big Data Lakes, but many projects are stalling or failing because the approaches that worked at Internet companies have to be adopted for the enterprise. This practical handbook guides managers and IT professionals from the initial research and decision-making process...
O’Reilly Media, Inc., 2019. — 224 p. — ISBN: 978-1-491-93155-4. The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies...
O’Reilly Media, Inc., 2019. — 224 p. — ISBN: 978-1-491-93155-4. The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies...
O’Reilly Media, Inc., 2019. — 224 p. — ISBN: 978-1-491-93155-4. The data lake is a daring new approach for harnessing the power of big data technology and providing convenient self-service capabilities. But is it right for your company? This book is based on discussions with practitioners and executives from more than a hundred organizations, ranging from data-driven companies...
CRC Press, 2025. — 219 p. — ISBN 9781032816968. Искусство науки о данных: руководство для практиков Although change is constant in business and analytics, some fundamental principles and lessons learned are truly timeless, extending and surviving beyond the rapid ongoing evolution of tools, techniques, and technologies. Through a series of articles published over the course of...
CRC Press, 2025. — 219 p. — ISBN 9781032816968. Искусство науки о данных: руководство для практиков Although change is constant in business and analytics, some fundamental principles and lessons learned are truly timeless, extending and surviving beyond the rapid ongoing evolution of tools, techniques, and technologies. Through a series of articles published over the course of...
Wiley, 2013. — 336 p. — ISBN: 1118504224, 9781118504222. Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can...
Publisher: Wiley, 2013, 336 p. Book Description Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to...
Springer, 2024. — 380 p. — (Studies in Big Data 139). — ISBN 978-3-031-43539-3. Генерация и интерпретация гипотез: принципы и шаблоны проектирования для приложений больших данных This book focuses in detail on Data Science and data analysis and emphasizes the importance of data engineering and data management in the design of Big Data applications. The author uses patterns...
Apple Academic Press, 2021. — 426 p. — ISBN13: 978-0-42932-173-3. The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node...
Apple Academic Press, 2021. — 426 p. — ISBN13: 978-0-42932-173-3. The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node...
Apple Academic Press, 2021. — 426 p. — ISBN13: 978-0-42932-173-3 (eBook). The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node...
Apple Academic Press, 2021. — 426 p. — ISBN13: 978-0-42932-173-3 (eBook). The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node...
Apple Academic Press, 2021. — 426 p. — ISBN13: 978-1-77188-834-9 (eBook). The authors provide an understanding of big data and MapReduce by clearly presenting the basic terminologies and concepts. They have employed over 100 illustrations and many worked-out examples to convey the concepts and methods used in big data, the inner workings of MapReduce, and single node/multi-node...
Packt Publishing, 2023. — 207 p. Key Features • Understand data contracts and their power to resolving the problems in contemporary data platforms • Learn how to design and implement a cutting-edge data platform powered by data contracts • Access practical guidance from the pioneer of data contracts to get expert insights on effective utilization Book Description With Driving...
O’Reilly Media, 2015. — 27 p. In this report, we collect data from the Web, analyze it to produce insight, and interpret insight to produce market intelligence. Our data comes from partnership pages on vendor websites. The primary analytic tool in our toolbox is social network analysis.
Wiley, 2021. — 415 p. — ISBN 978-1-119-71302-. The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the...
Wiley, 2021. — 415 p. — ISBN 978-1-119-71302-. The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the...
Independently published, 2020. — 930 p. — ISBN B08H1RRG2D. This book shall train you to collect data from different sources, and discover knowledge. The book aims to teach you to group data into a Data Warehouse for analysis and reporting. The book further explains how to discover patters that can be discovered from the data by learning from historical datasets using Machine...
Independently published, 2020. — 930 p. — ISBN B08H1RRG2D. This book shall train you to collect data from different sources, and discover knowledge. The book aims to teach you to group data into a Data Warehouse for analysis and reporting. The book further explains how to discover patters that can be discovered from the data by learning from historical datasets using Machine...
O’Reilly Media, 2015. — 220 p. — ISBN10: 1491923946. — ISBN13: 978-1491923948 Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a...
O’Reilly Media, 2015. — 220 p. — ISBN10: 1491923946. — ISBN13: 978-1491923948 Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a...
2019. — 357 p. This books fills the need for an easy and holistic book on essential Big Data technologies. Written in a lucid and simple language free from jargon and code, this book provides an intuition for Big Data from business as well as technological perspectives. This book is designed to provide the reader with the intuition behind this evolving area, along with a solid...
O’Reilly, 2018. — 189 р. — ISBN: 1492038741. Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development. Authors Ted Malaska and Jonathan Seidman guide you through all the major components necessary to start, architect, and develop successful big data projects. This practical...
Manning, 2015. — 330 p. — ISBN 9781617290343 Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic...
Manning Publications, 2015. — 330 p. Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. Complexity increases with scale and demand, and handling Big Data is not as simple as just doubling down on your RDBMS or rolling out some trendy new technology. Fortunately, scalability and...
Manning Publications, 2015. — 328 p. — ISBN: 1617290343 Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a...
Manning Publications, 2015. — 374 p. — ISBN: 9781617290343. Целевая аудитория: опытные разработчики. В настоящее время никого не удивить большими данными и сложными архитектурными монстрами вроде Yahoo или Google, однако всё это не так тяжело, каким кажется, и работать с большими данными может любой разработчик. В этой книге описываются теоретические основы организации систем...
Manning Publications, 2015. — 374 p. — ISBN: 9781617290343. Целевая аудитория: опытные разработчики. В настоящее время никого не удивить большими данными и сложными архитектурными монстрами вроде Yahoo или Google, однако всё это не так тяжело, каким кажется, и работать с большими данными может любой разработчик. В этой книге описываются теоретические основы организации систем...
Apress, 2020. — 237 p. — ISBN: 1484259874. Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. As a serious data miner you will often be faced with thousands of candidate features for your prediction or classification...
Apress, 2020. — 233 p. — ISBN13: (electronic): 978-1-4842-5988-7. Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. As a serious data miner you will often be faced with thousands of candidate features for your prediction or...
Apress, 2020. — 233 p. — ISBN13: (electronic): 978-1-4842-5988-7. Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. As a serious data miner you will often be faced with thousands of candidate features for your prediction or...
Apress, 2020. — 233 p. — ISBN13: (electronic): 978-1-4842-5988-7. Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. As a serious data miner you will often be faced with thousands of candidate features for your prediction or...
Artech House , 2017. — 294 p. — ISBN: 1630813214, 9781630813215. This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers...
Artech House, 2017. — 313 p. This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers find extensive case studies and...
Final rel. - Manning Publications, 2022. - 305 p. - ISBN 1617298034. In Algorithms and Data Structures for Massive Datasets , you'll discover methods for reducing and sketching data so it fits in small memory without losing accuracy, and unlock the algorithms and data structures that form the backbone of a big data system. Data structures and algorithms that are great for...
Packt Publishing, 2017. — 404 p. — ISBN: 1785281941. + Sample Files Key Features This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf Improve your decision-making by visualizing your big data the right way Book...
Содержит весь код из примеров для следующих глав: Главе 2 Access, Speed, and Storage with Hadoop (код на Hadoop, 17 примеров) Главе 3 Understanding Your Data Using R (код на R, 35 примеров) Главе 5 Displaying Results Using D3 (код для библиотеки D3 на JavaScript, 4 примера) Главе 7 Dealing with Outliers Using Python (код на Python, 7 примеров). Главы 1, 4, 6 и 8 кода не содержат.
Nomad Press, 2018. — 128 р. — ISBN: 1619306794. All of these questions are questions about data. Data is information. It can be stored in books, magazines, on graph paper, in computers, and with many other methods. Most of the data that exists today is stored in computers, and the amount of data humans produce is doubling every year and half. That’s why it’s called big data! In...
Nomad Press, 2018. — 128 p. — ISBN: 1619306794. What is big data and what does it have to do with you? Have you watched videos online today? Did you post photographs on social media? Did you upload your English essay to Google docs? All of these questions are questions about data. Data is information. It can be stored in books, magazines, on graph paper, in computers, and with...
2nd Edition, Amazon Digital Services LLC, 2018. — 132 p. — ISBN13: 978-1724943576. Data is a crucial commodity, increasing at an exponential rate. That Book on Big Data is a crash course covering big data, who’s using it, and its implications. Inside you’ll find definitions, techniques, and tools used by practitioners. Sampling the generators of data, and those hungrily...
O’Reilly, 2016 - Which companies have adopted technologies such as Hadoop and Spark, as well as data science in general? And which industries are lagging behind? This O’Reilly report provides the results of a unique, data-driven analysis of the market for big data products and technologies. Using eye-catching charts and visualizations, Spiderbook cofounder Aman Naimat...
Wiley-Scrivener, 2023. — 357 p. — ISBN 978-1-119-87968-8. Обработка данных: концепции, приложения и инструменты Data Wrangling written and edited by some of the world’s top experts in the field, this exciting new volume provides state-of-the-art research and latest technological breakthroughs in data wrangling, its theoretical concepts, practical applications, and tools for...
Free Prees, 2020. — 518 p. Discover a Perfect Bundle about Data Science. Find Out Everything About Python and Machine Learning. Learn How to Quickly Automate Boring Stuff With This Amazing Bundle. Would you like to learn how to program in Python? You have no prior knowledge about Python? Or, you just want to refresh your memory? You are a little bit afraid because everything...
Packt Publishing, 2015. — 164 p. — ISBN: 978-1-78588-808-3. Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies A Data Lake is a highly scalable platform for storing huge volumes of multistructured data from disparate sources with centralized data management services. This book...
Apress Media LLC., 2020. — 416 p. — ISBN13: (electronic): 978-1-4842-6576-5. Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats...
Apress Media LLC., 2020. — 416 p. — ISBN13: (electronic): 978-1-4842-6576-5. Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats...
Apress Media LLC., 2020. — 416 p. — ISBN13: 978-1-4842-6575-8. Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats such as CSV,...
Apress Media LLC., 2020. — 416 p. — ISBN13: (electronic): 978-1-4842-6576-5. Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats...
Apress Media LLC., 2020. — 416 p. — ISBN13: 978-1-4842-6575-8. Code files only! Utilize web scraping at scale to quickly get unlimited amounts of free data available on the web into a structured format. This book teaches you to use Python scripts to crawl through websites at scale and scrape data from HTML and JavaScript-enabled pages and convert it into structured data formats...
Apress, 2018. — 177 p. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology....
Apress, 2018. — 177 p. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology....
Packt Publishing, 2017. — 266 p. — ISBN: 978-1788290906. Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big...
Apress, 2018. — 557 p. — ISBN: 978-1484231463. Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the...
Apress, 2018. — 557 p. — ISBN: 978-1484231463. Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the...
2nd edition. — O’Reilly, 2013. — 448 p. How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn,...
2nd edition. — O’Reilly, 2013. — 448 p. How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re talking about, and where they’re located? With this expanded and thoroughly revised edition, you’ll learn how to acquire, analyze, and summarize data from all corners of the social web, including Facebook, Twitter, LinkedIn,...
3rd edition. — O’Reilly Media, 2019. — 432 p. Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking about, and where they’re...
3rd edition. — O’Reilly Media, 2019. — 432 p. — ISBN: 9781491973547. Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking...
3rd edition. — O’Reilly Media, 2019. — 432 p. — ISBN: 9781491973547. Mine the rich data tucked away in popular social websites such as Twitter, Facebook, LinkedIn, and Instagram. With the third edition of this popular guide, data scientists, analysts, and programmers will learn how to glean insights from social media—including who’s connecting with whom, what they’re talking...
Apress, 2018. — 335 p. — ISBN: 1484235215. Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational...
Apress, 2018. — 335 p. — ISBN: 1484235215. Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational...
Apress, 2013. — 157 p. The book provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big data solutions. Its problem-solution approach helps in selecting the right architecture to solve the problem at hand. In the process of reading through these problems, you will learn harness the power...
Wiley, 2021. — 387 p. — (For Dummies). — ISBN 978-1-119-78616-0. Take a dive into data lakes “Data lakes” is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a straightforward answer the question: “What exactly is a data lake and do I need one for my business?” Written for...
Wiley, 2021. — 387 p. — (For Dummies). — ISBN 978-1-119-78616-0. Take a dive into data lakes “Data lakes” is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a straightforward answer the question: “What exactly is a data lake and do I need one for my business?” Written for...
CreateSpace Independent Publishing, 2017. — 322 p. Big data analytics is the process of collecting, organizing and analyzing large sets of data (called big data) to discover patterns and other useful information. Big data analytics can help organizations to better understand the information contained within the data and will also help identify the data that is most important to...
Apress, 2015. — 220 p. Enterprise Information Architecture for a New Age: Big Data and The Internet of Things, provides guidance in designing an information architecture to accommodate increasingly large amounts of data, massively large amounts of data, not only from traditional sources, but also from novel sources such everyday objects that are fast becoming wired into global...
Dey Street Books, 2017. — 307 p. Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.
O’Reilly, 2011. — 56 p. There’s been a massive amount of innovation in data tools over the last few years, thanks to a few key trends: Learning from the Web Techniques originally developed by website developers coping with scaling issues are increasingly being applied to other domains. CS+?=$$$ Google has proven that research techniques from computer science can be effective at...
Independently published, 2020. — 366 p. — ISBN B08HRWDKVQ. Data Mining provides the concepts and techniques in processing gathered data or information used in several applications. Specifically, it explains and defines data mining and the tools used in discovering knowledge from the collected data. This book is referred to as knowledge discovery from data. It focuses on the...
Independently published, 2020. — 366 p. — ISBN B08HRWDKVQ. Data Mining provides the concepts and techniques in processing gathered data or information used in several applications. Specifically, it explains and defines data mining and the tools used in discovering knowledge from the collected data. This book is referred to as knowledge discovery from data. It focuses on the...
Independently published, 2020. — 366 p. — ISBN B08HRWDKVQ. Data Mining provides the concepts and techniques in processing gathered data or information used in several applications. Specifically, it explains and defines data mining and the tools used in discovering knowledge from the collected data. This book is referred to as knowledge discovery from data. It focuses on the...
2nd Edition. — Apress Berkeley, 2023. — 288 p. — eBook ISBN 978-1-4842-9771-1. Shows how to leverage Excel's built-in features without the need for add-ons Gives you a solid understanding of the popular data mining algorithms Presents a step-by-step approach to reinforce understanding Use popular data mining techniques in Microsoft Excel to better understand machine learning...
2nd Edition. — Apress Berkeley, 2023. — 288 p. — eBook ISBN 978-1-4842-9771-1. Shows how to leverage Excel's built-in features without the need for add-ons Gives you a solid understanding of the popular data mining algorithms Presents a step-by-step approach to reinforce understanding Use popular data mining techniques in Microsoft Excel to better understand machine learning...
Apress, 2020. — 223 p. — ISBN: 978148425982-5. Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help. Excel...
М.: МИСИС, 2016. — 52 с. «Большие данные» - сравнительно новое понятие. Эта область принадлежит к беспрецедентным возможностям работы с огромными массивами разнородных данных. Уже сейчас существует масса успешных применений этого нового направления, которое открывает новые горизонты и ставит новые вопросы Предназначено студентам и аспирантам всех специальностей, имеющим дело с...
СПб.: Страта, 2019. — 148 с. — (Просто). — ISBN 978-5-907127-29-5. Большие данные - ключевой элемент современного информационного пространства. Практически все, что делает отдельный человек, группы людей, человечество в целом, компании из разных сфер бизнеса, правительства, происходит в рамках глобального информационного поля. Наша работа, наш досуг, шопинг, путешествия - всё...
Учебное пособие. — М.: Научный консультант, 2024. — 86 с. Учебное пособие включает методические указания, теоретические положения, материалы для самостоятельной работы и контроля знаний студентов. В учебном пособии изложены основные этапы, технологии, алгоритмы и инструменты обработки больших данных, включая высокоуровневый язык программирования Python. В пособии...
Москва: Вильямс, 2016. — 368 с.: ил. — ISBN 978-5-8459-2075-1. В этой книге представлены теоретические основы организации систем больших данных и поясняется, каким образом они воплощаются на практике. В ней рассматривается лямбда-архитектура, предназначенная для построения подобных систем, и на примере конкретного веб-приложения поясняются особенности реализации всех уровней...
Пер. с англ.: В. Дегтярев. — Москва: АСТ, 2018. — 140. — (Цифровая экономика и цифровое будущее). — ISBN 978-5-17-982583-8. Математические алгоритмы с каждым днем все сильнее подчиняют себе нашу жизнь. Более того: по мнению автора книги, профессора математики и финансового аналитика, эти алгоритмы уже превратились в опасное оружие в руках государства и корпораций, – и это...
СПб.: Питер, 2020. — 464 с. — (IT для бизнеса). — ISBN: 978-5-4461-1246-3. В недрах популярных социальных сетей - Twitter, Facebook, LinkedIn и Instagram - скрыты богатейшие залежи информации. Из этой книги исследователи, аналитики и разработчики узнают, как извлекать эти уникальные данные, используя код на Python, Jupyter Notebook или контейнеры Docker. Сначала вы...
СПб.: Питер, 2020. — 464 с. — (IT для бизнеса). — ISBN 978-5-4461-1246-3. В недрах популярных социальных сетей - Twitter, Facebook, LinkedIn и Instagram - скрыты богатейшие залежи информации. Из этой книги исследователи, аналитики и разработчики узнают, как извлекать эти уникальные данные, используя код на Python, Jupyter Notebook или контейнеры Docker. Сначала вы познакомитесь...
М.: СмартБук, 2014. — 110 с. — ISBN: 978-5-9791-0311-2. Что такое информация? Как можно проанализировать данные, которые у вас есть? А если данных очень много и они требуют вычислительной мощи современных компьютеров? Какие выводы можно сделать из этого массива данных? Может – никаких, а может – это неиссякаемый источник, приносящий все новые возможности. Самое ценное, что есть...
М.: СмартБук, 2014. — 110 с. — ISBN: 978-5-9791-0311-2. Что такое информация? Как можно проанализировать данные, которые у вас есть? А если данных очень много и они требуют вычислительной мощи современных компьютеров? Какие выводы можно сделать из этого массива данных? Может – никаких, а может – это неиссякаемый источник, приносящий все новые возможности. Самое ценное, что есть...
СПб.: Питер, 2019. — 448 с. — (Для профессионалов). — ISBN: 978-5-4461-0578-6. Перед вами - первая исходно русскоязычная книга, в которой на реальных примерах рассматриваются секреты обработки больших данных (Big Data) в облаках. Основное внимание уделено решениям Microsoft Azure и AWS. Рассматриваются все этапы работы - получение данных, подготовленных для обработки в облаке,...
СПб.: Питер, 2019. — 448 с.: ил. — (Серия «Для профессионалов»). ISBN: 978-5-4461-0578-6. Перед вами - первая исходно русскоязычная книга, в которой на реальных примерах рассматриваются секреты обработки больших данных (Big Data) в облаках. Основное внимание уделено решениям Microsoft Azure и AWS. Рассматриваются все этапы работы – получение данных, подготовленных для обработки...
СПб.: Питер, 2019. — 448 с.: ил. — (Серия «Для профессионалов»). ISBN: 978-5-4461-0578-6. Перед вами - первая исходно русскоязычная книга, в которой на реальных примерах рассматриваются секреты обработки больших данных (Big Data) в облаках. Основное внимание уделено решениям Microsoft Azure и AWS. Рассматриваются все этапы работы – получение данных, подготовленных для обработки...
Спб.: Питер, 2019. — 448 с. — ISBN: 978-5-4461-0578-6. Перед вами - первая исходно русскоязычная книга, в которой на реальных примерах рассматриваются секреты обработки больших данных (Big Data) в облаках. Основное внимание уделено решениям Microsoft Azure и AWS. Рассматриваются все этапы работы - получение данных, подготовленных для обработки в облаке, использование облачных...
Спб.: Питер, 2019. — 448 с.: ил. — (Для профессионалов). — ISBN 978-5-4461-0578-6. Перед вами - первая исходно русскоязычная книга, в которой на реальных примерах рассматриваются секреты обработки больших данных (Big Data) в облаках. Основное внимание уделено решениям Microsoft Azure и AWS. Рассматриваются все этапы работы - получение данных, подготовленных для обработки в...
СПб.: Питер, 2019. — 208 с.: ил. — (Библиотека программиста). — ISBN: 978-5-4461-1040-7. Cегодня Big Data - это большой бизнес. Нашей жизнью управляет информация, и извлечение выгоды из нее становится центральным моментом в работе современных организаций. Не важно кто вы - деловой человек, работающий с аналитикой, начинающий программист или разработчик, - "Теоретический минимум...
СПб.: Питер, 2019. — 208 с.: ил. — (Библиотека программиста). — ISBN: 978-5-4461-1040-7. Cегодня Big Data - это большой бизнес. Нашей жизнью управляет информация, и извлечение выгоды из нее становится центральным моментом в работе современных организаций. Не важно кто вы - деловой человек, работающий с аналитикой, начинающий программист или разработчик, - "Теоретический минимум...
М.: Баланс Бизнес Букс, 2018. — 328 с. «Основы больших данных» обеспечивают прагматичное и серьезное введение в область больших данных. Популярный ИТ-автор Томас Эрл и его команда четко объясняют ключевые концепции, теорию и терминологию Big Data, а также фундаментальные технологии и методы. Весь охват материала книги поддерживается примерами из практики и многочисленными...
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