This book describes the features and architecture of the data lakehouse, along with its analytical infrastructure; the next generation of the data warehouse and data lake. Bill Inmon, Mary Levins and Ranjeet Srivastava describe how data lakehouses are designed for use with analytics, machine learning, and data science and also discuss how the universal common connector blends structured, textual, analog, and IoT data.

Author: Bill Inmon, Mary Levins and Ranjeet Srivastava
Publisher: Technics Publications
Date: October 2021
Pages: 254
ISBN: 978-1634629669
Print: 1634629663
Kindle: ‎ B09GRZ9KP3
Audience: data scientists
Level: Intermediate
Category: Data Science

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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