February 2025
Intermediate to advanced
408 pages
9h 49m
English
Content preview from Databricks Certified Data Engineer Associate Study Guide
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,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Chapter 3. Mastering Relational Entities in Databricks
Relational entities, particularly databases, tables, and views, are essential components for organizing and managing structured data in Databricks. Understanding how these entities interact with the metastore and storage locations is crucial for efficient querying and data management. In this chapter, we will cover in detail how these entities function within the Databricks environment and understand their relationship with the underlying storage.
Understanding Relational Entities
This section provides a detailed understanding of relational entities in Databricks, covering databases, tables, and views, with a focus on their interactions with both the metastore and storage systems.
Databases in Databricks
In Databricks, a database essentially corresponds to a schema in a data catalog. This means that when you create a database, you’re essentially defining a logical structure where tables, views, and functions can be organized. This collection of database objects is called a schema. You have the flexibility to create a database using either the CREATE DATABASE or CREATE SCHEMA syntax, as they are functionally equivalent.
Every Databricks workspace includes a local data catalog, called hive_metastore, that all clusters can access to persist object metadata. The Hive metastore serves as a repository for metadata, storing essential information about data structures such as databases, tables, and partitions. This metadata includes ...
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.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.