Skip to Content
Data Engineering with AWS - Second Edition
book

Data Engineering with AWS - Second Edition

by Gareth Eagar
October 2023
Intermediate to advanced
636 pages
17h 2m
English
Packt Publishing
Content preview from Data Engineering with AWS - Second Edition

15

Implementing a Data Mesh Strategy

The original definition of a data lake, which first appeared in a blog post by James Dixon in 2010 (see https://jamesdixon.wordpress.com/2010/10/14/pentaho-hadoop-and-data-lakes/), was as follows:

If you think of a datamart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state. The contents of the data lake stream in from a source to fill the lake, and various users of the lake can come to examine, dive in, or take samples.

In his vision of what a data lake would be, Dixon imagined that a data lake would be fed by a single source of data, containing the raw data from a system (so not pre-aggregated like you ...

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

Data Engineering with AWS

Data Engineering with AWS

Gareth Eagar
AWS for Solutions Architects - Second Edition

AWS for Solutions Architects - Second Edition

Saurabh Shrivastava, Neelanjali Srivastav, Alberto Artasanchez, Imtiaz Sayed
Data Pipelines with Apache Airflow

Data Pipelines with Apache Airflow

Julian de Ruiter, Bas Harenslak
Serverless ETL and Analytics with AWS Glue

Serverless ETL and Analytics with AWS Glue

Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur

Publisher Resources

ISBN: 9781804614426Supplemental Content