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Big data analytics : from strategic planning to enterprise integration with tools, techniques, NoSQL, and graph

Tác giả: David Loshin

Provides an overview of the drivers for introducing big data technology into an organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually...

Data science

Tác giả: John D. Kelleher, Brendan Tierney

Presenting to What is data science?. What is data and what is a dataset?. The data science ecosystem. Machine learning 101. Standard data science tasks. Privacy and ethics. Future trends and principles of success.

Next-Generation big data : a practical guide to apache kudu, impala, and spark : 1st ed.

Tác giả: Butch Quinto

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...

Principles of data science

Tác giả: Hamid Arabnia, ... [and other people]

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data...

Complete guide to open source big data stack : 1st ed.

Tác giả: Michael Frampton

This book describes the creation of an actual generic open source big data stack, which is an integrated stack of big data components--each of which serves a specific function like storage, resource management, or queueing. Each component has a big data heritage and community to support it. It can...