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...
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...
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. — 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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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...
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, 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. — 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,...
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...
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...
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...
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...
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