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DataCamp

Data Management in Databricks

via DataCamp

Overview

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

Build a Strong Foundation with Delta Lake


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.

Optimize Workflows with Views and Temp Views


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.

Secure and Govern Your Data with Confidence


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.

Syllabus

  • Introduction to Delta Lake
    • 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.
  • Working with Tables in Databricks
    • 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.
  • Data Exploration and Security
    • 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.

Taught by

Smriti Mishra

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