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

Data pull

Any mechanism used to pull the data from Data Lake can be considered as Data Pull mechanism. Here, we will discuss, some of the most common data pull mechanisms.

  • Services: One of the most popular mechanisms of data delivery are the data services. This comprises of building web services (REST/SOAP) over the Data Lake, such that the data can be exposed via services to the consuming applications. This works very well for consuming relatively small volumes of data over HTTP for near real time application requirements. This also stems from the notion of data as a service, wherein the entire data is ready and available over services. Such service requests and response definitions must be concise and clearly defined so that these are ...
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