Skip to Main Content
Big Data Simplified
book

Big Data Simplified

by Sayan Goswami, Amit Kumar Das, Sourabh Mukherjee
June 2019
Beginner to intermediate content levelBeginner to intermediate
360 pages
10h 55m
English
Pearson Education India
Content preview from Big Data Simplified
Big Data Strategy | 283
b. Schema-on-write vs. Schema-on-read: A data warehouse implements schema-on-write,
which means that data needs to be transformed into a structured form or a schema
(explained in Chapter 1) before it is stored in the data warehouse. Data storage for a tra-
ditional data warehouse is hugely expensive. As such, data warehouses, by principle, do
not store data on anticipated or speculative use at a later point in time. On the other hand,
a data lake stores all kinds of data in their raw, native formats, irrespective of structure,
thereby reducing efforts for structuring the data before it is stored. The data is formatted ...
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

Big Data

Big Data

James Warren, Nathan Marz
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Gary D. Miner, John Elder, Andrew Fast, Thomas Hill, Robert Nisbet, Dursun Delen
Data Wrangling with Python

Data Wrangling with Python

Jacqueline Kazil, Katharine Jarmul

Publisher Resources

ISBN: 9789353941505