You're reading from Modern Data Architectures with Python

Product typeBook

Published inSep 2023

Reading LevelExpert

PublisherPackt

ISBN-139781801070492

Edition1st Edition

Languages

Python

Concepts

Data Science

Author (1)

Brian Lipp

Databricks SQL analytics

Databricks SQL analytics is an evolved section of Databricks adapted for SQL-only analysis and BI access. What makes SQL analytics unique is the tight integration between all the other tooling. So, when your Databricks pipelines publish tables, SQL analytics will be able to access all those artifacts.

Accessing SQL analytics

At the time of writing, Databricks SQL analytics is offered with only premium-tier accounts. Once you have switched to the premium tier, you will see SQL in the area drop-down menu.

Once you have enabled the premium tier or higher, to access SQL analytics, use the dropdown at the top left of the screen. You will be given three choices – Data Science & Engineering, Machine Learning, and SQL. For now, we will use SQL analytics, but switch to Data Science & Engineering if you need access to your notebooks anytime.

Figure 7.10: The SQL menu option

SQL Warehouses

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Modern Data Architectures with Python

Published in: Sep 2023Publisher: PacktISBN-13: 9781801070492

Author (1)

Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
Read more about Brian Lipp

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You're reading from Modern Data Architectures with Python

Databricks SQL analytics

Accessing SQL analytics

SQL Warehouses

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Author (1)

Et al.

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