Reader small image

You're reading from  Data Lakehouse in Action

Product typeBook
Published inMar 2022
Reading LevelBeginner
PublisherPackt
ISBN-139781801815932
Edition1st Edition
Languages
Tools
Concepts
Right arrow
Author (1)
Pradeep Menon
Pradeep Menon
author image
Pradeep Menon

Pradeep Menon is a seasoned data analytics professional with more than 18 years of experience in data and AI. Pradeep can balance business and technical aspects of any engagement and cross-pollinate complex concepts across many industries and scenarios. Currently, Pradeep works as a data and AI strategist at Microsoft. In this role, he is responsible for driving big data and AI adoption for Microsoft’s strategic customers across Asia. Pradeep is also a distinguished speaker and blogger and has given numerous keynotes on cloud technologies, data, and AI.
Read more about Pradeep Menon

Right arrow

Storing data in the data lake layer

Once the data is ingested into the data lake layer, it needs to be managed and stored correctly. A resilient storage strategy reduces the unnecessary duplication of data. In addition, it ensures that need-based access is provided for the stakeholders and that proper security controls are applied to ensure data security. So, let's first investigate the various datastores of a data lake.

Data lake layer

Data in the data lake layer is segregated into multiple datastores. Each datastore has its own purpose and guidelines for use. As depicted in the following figure, there are four types of datastores in the data lake layer:

Figure 4.1 – The types of datastores in a data lake

The data in the data lake is stored in a hierarchical file structure. A hierarchical file structure creates a folder that behaves more like a traditional operating system's filesystem in terms of moving and renaming files. In addition...

lock icon
The rest of the page is locked
Previous PageNext Page
You have been reading a chapter from
Data Lakehouse in Action
Published in: Mar 2022Publisher: PacktISBN-13: 9781801815932

Author (1)

author image
Pradeep Menon

Pradeep Menon is a seasoned data analytics professional with more than 18 years of experience in data and AI. Pradeep can balance business and technical aspects of any engagement and cross-pollinate complex concepts across many industries and scenarios. Currently, Pradeep works as a data and AI strategist at Microsoft. In this role, he is responsible for driving big data and AI adoption for Microsoft’s strategic customers across Asia. Pradeep is also a distinguished speaker and blogger and has given numerous keynotes on cloud technologies, data, and AI.
Read more about Pradeep Menon