Data Engineering on Microsoft Azure: Data Solution Optimization

Azure    |    Intermediate
  • 11 videos | 58m
  • Includes Assessment
  • Earns a Badge
Rating 4.8 of 17 users Rating 4.8 of 17 users (17)
Ensuring that data storage and processing systems are operating efficiently will allow your organization to save both time and money. There are several tips and tricks that can be used to optimize both Azure Data Storage service and processes. In this course, you'll learn about cloud optimization, as well as some best practices for optimizing data using data partitions, Azure Data Lake Storage tuning, Azure Synapse Analytics tuning, and Azure Databricks auto-optimizing. Next, you'll learn about strategies for partitioning data using Azure-based storage solutions. You'll learn about the stages of the Azure Blob lifecycle management and how to optimize Azure Data Lake Storage Gen2, Azure Stream Analytics, and Azure Synapse Analytics. Finally, you'll explore how to optimize Azure Data Storage services such Azure Cosmos DB using indexing and partitioning, as well as Azure Blob Storage and Azure Databricks. This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe the concept of cloud optimization and some best practices for optimizing data using data partitions, azure data lake storage tuning, azure synapse analytics tuning, and azure databricks auto-optimizing
    Describe how to optimize azure stream analytics jobs
    Describe various strategies for partitioning data using azure-based storage solutions
    Describe how to optimize the azure data lake storage gen2 for performance
    Describe methods for optimizing azure synapse analytics
  • Describe how to optimize the azure cosmos db using indexing and partitioning
    Describe methods for monitoring azure databricks
    Describe methods for optimizing azure databricks
    Describe how to manage common data troubleshooting techniques
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 5s
  • 6m 47s
    91783904-84fb-401b-8440-9f068d1be591 FREE ACCESS
  • Locked
    3.  Azure Stream Analytics Optimization
    6m 15s
    0801a3b2-d8da-4358-bab3-0cc4c24d9420 FREE ACCESS
  • Locked
    4.  Data Partitioning Strategies
    6m 22s
    39ba5498-0ba8-456f-8721-01360de04d78 FREE ACCESS
  • Locked
    5.  Azure Data Lake Storage Gen2 Optimization
    4m 54s
    6933a9ae-239d-4439-b2cc-918acbe27d88 FREE ACCESS
  • Locked
    6.  Azure Synapse Analytics Optimization
    7m 22s
    1d8b4555-185d-4995-9365-6ef0c24c9195 FREE ACCESS
  • Locked
    7.  Azure Cosmos DB Optimization
    6m 6s
    c5307d90-b056-4697-aa2b-a8baf603db13 FREE ACCESS
  • Locked
    8.  Azure Databricks Monitoring
    4m 42s
    186f4518-295f-4b90-b8fd-f996875ffa7f FREE ACCESS
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    9.  Azure Databricks Optimization
    5m 5s
    8953f0ba-f597-4a2f-a299-0b043bd55e2f FREE ACCESS
  • Locked
    10.  Azure Data Troubleshooting
    7m 38s
    d27b47e6-bb94-488b-a62b-b8f6d646a413 FREE ACCESS
  • Locked
    11.  Course Summary
    43s
    6a5cafe4-eab5-46bc-92e6-962082297eba FREE ACCESS

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