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...
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 p. — 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...
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...
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...
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 p. — 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, 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,...
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...
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