This chapter explores table management in Databricks, focusing on managed vs. unmanaged tables and how they handle storage and lifecycle. You'll learn to create and refresh persistent views and dive into Delta Lake features like ACID transactions, schema enforcement, and time travel for reliable data management. You will also gain a deeper look into the mechanics of data organization and access within Databricks.

Understanding Delta Lake

Data reliability in Delta Lake

Ensuring ACID properties

Managing data in Delta Lake

Optimizing tables

Persistence and scope of tables

Managed vs. Unmanaged Tables

Table showdown

Deleting tables

Creating unmanaged tables

Introduction to Delta Lake

This chapter delves into creating and managing views and temp views in Databricks. You'll explore how persistent views save query logic for reuse across sessions, while temp views are suited for quick, session-specific tasks. The discussion also highlights practical scenarios where each type can enhance efficiency and streamline data handling.

Creating and managing tables

Custom storage done right

Table storage

Moving tables

Options

Data Management

Data Movement

Management or movement?

Best Practices for Managing Large Tables

Vacuum cleaning data

Views and Temp views

View

Temp View

Persistent or temporary?

Running through views

Persist like a pro

Short-lived views

Persistent view magic

Working with Tables in Databricks

In the final chapter, you’ll explore how to use Data Explorer to preview, analyze, and secure datasets. The content covers table ownership, responsibilities, and governance best practices. It also dives into managing access rights and securely handling Personally Identifiable Information (PII) with compliance-focused strategies and practical exercises.

Data exploration with Data Explorer

The Data Explorer path

Exploring datasets

Logs and security

Managing access and understanding PII

Protecting PII

Protecting patient names

Managing permissions

Congratulations!

Data Exploration and Security

Ready to level up your Databricks skills? In this course, you’ll master Data Management skills in Databricks, utilizing Delta Lake features like ACID transactions, schema enforcement, and time travel for rock-solid data management. Dive into creating and managing tables and temp views to streamline workflows. Then, explore Databricks’ Data Explorer to preview datasets, assign table ownership, and protect sensitive data with top-notch security practices. Whether crafting reusable queries or managing Personally Identifiable Information (PII), this course has you covered with hands-on exercises and practical strategies to keep your data secure, accessible, and optimized for any scenario.

<h2>Build a Strong Foundation with Delta Lake</h2>
This course equips you with the skills to manage data effectively in Databricks, leveraging tools like Delta Lake and Databricks’ Data Explorer. You'll explore foundational concepts such as managed and unmanaged tables and how they handle storage and lifecycle while diving into advanced Delta Lake features like ACID transactions, schema enforcement, and time travel. These techniques ensure data consistency and reliability, laying the groundwork for robust data workflows.
<h2>Optimize Workflows with Views and Temp Views</h2>
You'll also learn to create and manage views and temp views to optimize data processes. Persistent views allow you to save query logic for repeated use across sessions, streamlining workflows and boosting efficiency. Temp views, on the other hand, provide a lightweight solution for quick, session-specific tasks. Practical examples demonstrate how each can be applied to enhance data accessibility and organization, making them invaluable tools for crafting efficient and flexible solutions.
<h2>Secure and Govern Your Data with Confidence</h2>
Finally, you'll harness Databricks’ Data Explorer to preview, analyze, and secure datasets. From assigning table ownership to managing access rights, you'll gain a comprehensive understanding of governance best practices. Special emphasis is placed on securely handling Personally Identifiable Information (PII) with compliance-focused strategies. Through hands-on exercises, you'll develop the expertise to maintain secure and optimized datasets, ensuring your data remains accessible, well-managed, and protected in any scenario.

Introduction to Databricks

Master data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and advanced security features.

Data Management in Databricks

Learn data management in Databricks with Delta Lake, including ACID transactions, schema enforcement, and security.

Datenanalyst in Databricks

Command: CREATE DATABASE healthcare_data  
Use Case: Creates a new database to organize related tables under a single namespace.  

Command: DROP DATABASE healthcare_data  
Use Case: Deletes an existing database, removing all associated objects. 

Command: ALTER TABLE patients_data SET SCHEMA archived_data  
Use Case: Moves a table to a different schema while retaining data and metadata.  

Command: INSERT INTO archived_data SELECT * FROM healthcare_data.patients_data  
Use Case: Copies data from one database to another for archiving purposes.  

Management or movement?

Data Management in Databricks

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