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Optimizing Microsoft Azure Data Solutions

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John Savill

2:41:34

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  • 00. Course Overview.mp4
    01:13
  • 00. Module Introduction.mp4
    01:23
  • 01. Why Is This Important - .mp4
    01:27
  • 02. Consumption in the Cloud.mp4
    05:48
  • 03. What Is Optimization in the Cloud - .mp4
    02:06
  • 04. Common Types of Optimization.mp4
    07:55
  • 05. Data Partioning.mp4
    03:41
  • 06. Module Summary.mp4
    00:27
  • 00. Module Introduction.mp4
    00:50
  • 01. Azure SQL Database Offerings.mp4
    05:52
  • 02. DTU vs. vCore.mp4
    02:19
  • 03. Core Azure SQL Database Offerings.mp4
    05:36
  • 04. Performance Impact of General Purpose vs. Business Critical.mp4
    05:45
  • 05. Serverless and Hyperscale.mp4
    08:11
  • 06. Database Sharding.mp4
    04:48
  • 07. Indexing and Tuning.mp4
    12:05
  • 08. Query Optimization.mp4
    12:50
  • 09. Optimizing with In-memory Tables and Compression.mp4
    05:38
  • 10. Azure SQL Data Warehouse Offerings.mp4
    01:54
  • 11. Azure SQL Data Warehouse Scale.mp4
    04:32
  • 12. Optimizing Data Loading.mp4
    04:41
  • 13. Azure SQL Data Warehouse Loading Best Practices.mp4
    03:20
  • 14. Module Summary.mp4
    00:41
  • 00. Module Introduction.mp4
    00:26
  • 01. Request Units.mp4
    09:15
  • 02. Cosmos DB Partitions.mp4
    04:37
  • 03. Picking the Partition Key.mp4
    04:43
  • 04. Architecting Data Layout.mp4
    04:45
  • 05. Duplicating Data and the Change Feed.mp4
    04:21
  • 06. Other Optimization Considerations.mp4
    08:40
  • 07. Module Summary.mp4
    00:41
  • 00. Module Introduction.mp4
    00:26
  • 01. Azure Data Lake Storage Tuning.mp4
    05:09
  • 02. HDInsight Optimization.mp4
    05:48
  • 03. Azure Stream Analytics Optimization.mp4
    09:12
  • 04. Module Summary.mp4
    00:29
  • Description


    Azure has a vast array of data services, and in this course you'll explore a number of key areas that will help maximize the utilization of those data services and enable your organization to get the most out of its cloud data service spend.

    What You'll Learn?


      Getting the most out of cloud data service spend in terms of performance is critical for every organization. In this course, Optimizing Microsoft Azure Data Solutions, you will gain the ability to access and optimize a number of key data services in Azure. First, you will learn how to optimize Azure SQL Database and Azure SQL Data Warehouse. Next, you will discover the key optimization considerations related to Cosmos DB and the importance of partitioning data the right way. Finally, you will explore how to achieve maximum performance when using Azure Data Lake and a number of key analysis services. When you’re finished with this course, you will have the skills and knowledge of optimizing Azure data services needed to maximize your Azure data service deployments.

    More details


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    John Savill is an 11-time MVP, and he holds many Microsoft certifications including Azure Infrastructure and Azure Architecture specialist. John is the author of the popular original FAQ for Windows and posts numerous blogs to his https://savilltech.com site. John has written eight books on Microsoft technologies including Mastering Microsoft Azure Infrastructure Services and Mastering Windows Server 2016 Hyper-V.
    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 36
    • duration 2:41:34
    • level average
    • Release Date 2023/10/12