Building the Data Lakehouse (Technics Publications)
Friday, 01 October 2021

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.

<ASIN:1634629663>

 

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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Teach Yourself Java in 21 Days, 8th Ed (Sams)

Author:  Rogers Cadenhead
Publisher: Sams
Pages: 672
ISBN:  978-0672337956
Print: 0672337959
Kindle:B082J486LS
Audience: Beginning Java Programmers
Rating: 4
Reviewer: Mike James
Java! Its still more than relevant and at edition 8 this must be a classic?



High Performance SQL Server, 2nd Ed (Apress)

Author: Benjamin Nevarez
Publisher: Apress
Pages: 420
ISBN: 978-1484264904
Print: 1484264908
Kindle: B08TQR3NMF
Audience: SQL Server DBAs and Devs
Rating: 4.5
Reviewer: Ian Stirk

This book aims to improve the performance of your SQL Server, how does it fare?


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