Today i came across a posting in linkedin.com which points to this nice booklet:
The linkedin posting pointed to site, where you can register for the a PDF, which contains 20 pages and 7 chapters.
Chapter one is a very short one (only half of a page): A typical introduction about data, information, analytics and why this is important :)
In chapter 2 the lakehouse architecture is explained. I liked the phrase "It combines [...] traditional data warehouse with the massive scale and flexibility of a data lake". This phrase combined with a very good table of the differences between a data warehouse and a data lake is from my point of view an excellent definition.
"Data management and analytics with Microsoft Fabric and Azure Databricks" is the title of the third chapter. This chapter only emphasizes that Fabris and Databricks can work seamlessly together and Microsoft introduces a OneLake to simplify the integration of these tools.
Chapter 4 i can not really summarize here. But there is really a cool figure in that chapter. Here only a part of that:
The Databricks part is missing and some other parts as well, but in the new Microsoft approach Fabric consists not only of storage - even PowerBI is a part of that new powerful tool. (one subsection is about AI integration)
The next chapter "Code faster with GitHub Copilot, Visual Studio Code, and Azure Databricks" is about the demonstrating "the power of Azure Databricks as a leading platform for data and AI when combined with developer tools such as Visual Studio Code and GitHub Copilot". This is like a small walkthrough how to configure Visual Studio Code.
In the seventh chapter a step by step guide is provided for integrating Databricks with OneLake.
In my eyes chapter 4 is the key of that booklet, for everyone who wants to know, how the terms Fabric, OneLake, Databricks, Lakehouse are related and how the big picture looks like. Anyone who analyzes data with Microsoft should have read this.
No comments:
Post a Comment