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Monitoring and Optimizing Queries in Databricks SQL

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Kishan Iyer

1:54:18

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  • 1. Course Overview.mp4
    02:05
  • 01. Course Prerequisites and Outline.mp4
    01:56
  • 02. An Overview of Databricks SQL.mp4
    02:16
  • 03. The Need to Monitor Queries.mp4
    05:37
  • 04. Demo - Setting up a Databricks Workspace.mp4
    02:56
  • 05. Demo - Adding a User to a Databricks Workspace.mp4
    04:23
  • 06. Demo - Creating Databricks SQL Queries.mp4
    04:35
  • 07. Demo - Granting Access to SQL Queries.mp4
    03:37
  • 08. Demo - Granting Access to Databases.mp4
    05:47
  • 09. Demo - Regulating Access to Tables.mp4
    03:07
  • 10. Demo - Tracking Query Executions.mp4
    06:56
  • 11. Demo - Monitoring SQL Endpoint Usage.mp4
    02:41
  • 01. Delta Lakes.mp4
    06:18
  • 02. Optimizing Delta Tables.mp4
    04:20
  • 03. Demo - Viewing Details of Delta Tables.mp4
    05:07
  • 04. Demo - Restoring a Delta Table.mp4
    04:00
  • 05. Query Caching in Databricks.mp4
    02:50
  • 06. Demo - Delta Cache Accelerated Nodes.mp4
    02:22
  • 07. Demo - Using Delta Caches.mp4
    05:03
  • 08. Demo - Querying Data from a Delta Cache.mp4
    01:48
  • 09. Demo - Creating a Spark Cache.mp4
    04:42
  • 10. Demo - Testing the Effects of Spark Caching.mp4
    03:20
  • 1. Encrypting Queries.mp4
    02:21
  • 2. Demo - Configuring a Key Vault for a Databricks Workspace.mp4
    05:02
  • 3. Demo - Linking a Custom Encryption Key with Databricks.mp4
    04:33
  • 4. Query Alerts.mp4
    02:00
  • 5. Demo - Setting a Query to Run on a Schedule.mp4
    04:31
  • 6. Demo - Defining a Query Alert.mp4
    03:37
  • 7. Demo - Testing an Alert.mp4
    05:27
  • 8. Course Summary and Related Content.mp4
    01:01
  • Description


    This course will teach you to monitor query executions in Databricks SQL, and also regulate access to query objects. You will learn how to optimize query executions with caches, encrypt queries, and configure alerts based on query results.

    What You'll Learn?


      Queries lie at the heart of Databricks SQL and managing them correctly will ensure that we make the best use of this platform. In this course, Monitoring and Optimizing Queries in Databricks SQL, you will learn various aspects of query management, from basic administration to encryption, with a special emphasis on query monitoring and optimization. First, you will explore how to create a Delta table and queries which run against it. Next, you will discover how query execution times can be reduced by two different caching mechanisms supported by Databricks SQL - Delta caching and Spark caching. Finally, you will learn how we can monitor the results of query executions and trigger an alert when those results fulfill a specific condition. At the end of this course, you will be well-versed with various aspects of query management, which will help you ensure that your queries are configured correctly, that they run in an optimal manner, and that you are alerted the moment their results point to something that is off.

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    I have a Masters in Computer Science from Columbia University and have worked previously as a developer and DevOps engineer. I now work at Loonycorn which is a studio for high-quality video content. My interests lie in the broad categories of Big Data, ML and Cloud.
    Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.
    • language english
    • Training sessions 30
    • duration 1:54:18
    • level advanced
    • English subtitles has
    • Release Date 2023/05/14

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