Skip to Content
Data Lake for Enterprises
book

Data Lake for Enterprises

by Vivek Mishra, Tomcy John, Pankaj Misra
May 2017
Beginner to intermediate
596 pages
15h 2m
English
Packt Publishing
Content preview from Data Lake for Enterprises

Immutable Data principle

The data should be stored in a raw format from the different source systems. More importantly, the data stored should be immutable in nature. By making it immutable, it inherently takes care of human fault tolerance to at least some extent and takes away errors with regards to data loss and corruption. It allows data to be selected, inserted, and not updated or deleted. To cater to fundamental fast processing/performance, the data is usually stored in a denormalized fashion. Data being immutable makes the system in general simpler and more manageable.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

The Enterprise Big Data Lake

The Enterprise Big Data Lake

Alex Gorelik
Operationalizing the Data Lake

Operationalizing the Data Lake

Holden Ackerman, Jon King
Data Lakes

Data Lakes

Anne Laurent, Dominique Laurent, Cédrine Madera

Publisher Resources

ISBN: 9781787281349Supplemental Content