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You're reading from  Cloud Scale Analytics with Azure Data Services

Product typeBook
Published inJul 2021
PublisherPackt
ISBN-139781800562936
Edition1st Edition
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Author (1)
Patrik Borosch
Patrik Borosch
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Patrik Borosch

Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
Read more about Patrik Borosch

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Organizing your data lake

A well-structured system of zones/layers and folders will help you control your data lake. On the one hand, you will find a canonical approach that makes it easier to understand structures and the semantics behind these zones and folders. On the other hand, generator approaches will enable you to automate processes in your modern data warehouse.

Many Big Data projects suffer from poorly organized folder structures, and it becomes a challenge to find the right data for the right analysis at the right time. The so-called data swamp can be nearly impossible to use and will even demotivate users from leveraging the effort that must be put into it.

Talking about zones in your data lake

In Chapter 1, Balancing the Benefits of Data Lakes over Data Warehouses, we addressed the question of zones in a data lake. We compared them to the layers in a data warehouse and found that they are pretty similar, and mostly follow similar semantics:

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Cloud Scale Analytics with Azure Data Services
Published in: Jul 2021Publisher: PacktISBN-13: 9781800562936

Author (1)

author image
Patrik Borosch

Patrik Borosch is a cloud solution architect for data and AI at Microsoft Switzerland GmbH. He has more than 25 years of BI and analytics development, engineering, and architecture experience and is a Microsoft Certified Data Engineer and a Microsoft Certified AI Engineer. Patrik has worked on numerous significant international data warehouse, data integration, and big data projects. Through this, he has built and extended his experience in all facets, from requirements engineering to data modeling and ETL, all the way to reporting and dashboarding. At Microsoft Switzerland, he supports customers in their journey into the analytical world of the Azure Cloud.
Read more about Patrik Borosch