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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Beautiful C++

Author: J. Guy Davidson and Kate Gregory
Publisher: Addison-Wesley Professional
Date: December 2021
Pages: 352
ISBN: 978-0137647842
Print: 0137647840
Kindle: B09HTH1X38
Audience: C++ developers
Rating: 5
Reviewer: Mike James
Can C++ be beautiful?



The Big Book of Small Python Projects

Author: Al Sweigart
Publisher: No Starch Press
Date: June 2021
Pages: 432
ISBN: 978-1718501249
Print: 1718501242
Kindle: B08FH9FV7M
Audience: Novice Python developers
Rating: 4
Reviewer: Lucy Black
A project book? A good way to learn Python?


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