Data Warehousing with Azure: Managing Azure Data Lake

Azure    |    Intermediate
  • 13 videos | 59m 18s
  • Includes Assessment
  • Earns a Badge
Rating 3.6 of 5 users Rating 3.6 of 5 users (5)
Explore the advanced features of Azure Data Lakes with additional focus on managing various scenarios of data ingestion. Securing and tuning an Azure Data Lake for performance enhancement is also covered.

WHAT YOU WILL LEARN

  • Define the benefits of using azure data lake storage to facilitate big data solutions
    Ingest large amounts of data into a data store
    Describe the different types of data that can be managed on azure data lake
    Recall the different approaches of managing huge amounts of data using the azure expressroute
    Specify the different approaches of moving data from one source to another
    Move data from a specified source to another destination using adlcopy
    Copy offline data to the azure data lake storage
  • Describe the various security mechanisms that can be implemented to secure azure data lake
    Secure data that is stored in the azure data lake storage
    Specify the various tuning tasks that can be applied on a data lake to enhance performance
    Recall the role of log analytics in creating service alerts and controlling the cost of azure data lake
    Implement log analytics to facilitate alerts on identified thresholds
    Prepare and move offline data to the azure data lake

IN THIS COURSE

  • 5m 29s
    During this video, you will learn how to define the benefits of using Azure Data Lake Storage to facilitate big data solutions. FREE ACCESS
  • 2m 16s
    In this video, you will learn how to ingest large amounts of data into a data store. FREE ACCESS
  • Locked
    3.  Data Sources for Azure Data Lake
    4m 40s
    Upon completion of this video, you will be able to describe the different types of data that can be managed on Azure. FREE ACCESS
  • Locked
    4.  Data Loading Approaches for Huge Data
    5m 4s
    After completing this video, you will be able to recall the different approaches of managing large amounts of data using Azure ExpressRoute. FREE ACCESS
  • Locked
    5.  Moving Data from a Data Lake to Other Sources
    5m 24s
    Upon completion of this video, you will be able to specify the different approaches for moving data from one source to another. FREE ACCESS
  • Locked
    6.  Moving Data Using AdlCopy
    4m 54s
    In this video, you will learn how to move data from a specified source to another destination using AdlCopy. FREE ACCESS
  • Locked
    7.  Using the Offline Copy Method
    2m 1s
    Learn how to copy offline data to Azure Data Lake Storage. FREE ACCESS
  • Locked
    8.  Security Mechanism for Azure Data Lake
    4m 24s
    After completing this video, you will be able to describe the various security mechanisms that can be implemented to secure Azure Data Lake. FREE ACCESS
  • Locked
    9.  Securing Data in Azure Data Lake
    3m 44s
    During this video, you will learn how to secure data that is stored in Azure Data Lake Storage. FREE ACCESS
  • Locked
    10.  Tuning Data Lake
    4m 7s
    Upon completion of this video, you will be able to specify the various tuning tasks that can be applied to a data lake to enhance performance. FREE ACCESS
  • Locked
    11.  Log Analytics
    4m 21s
    Upon completion of this video, you will be able to recall the role of log analytics in creating service alerts and controlling the cost of Azure Data Lake. FREE ACCESS
  • Locked
    12.  Implementing Log Analytics
    6m 12s
    In this video, find out how to implement log analytics to create alerts when certain thresholds are reached. FREE ACCESS
  • Locked
    13.  Exercise: Moving Offline Data
    6m 43s
    In this video, you will learn how to prepare and move offline data to Azure Data Lake. FREE ACCESS

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