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Implementing an Azure Databricks Environment in Microsoft Azure

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Michael Bender

2:06:51

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  • 00. Course Overview.mp4
    01:43
  • 00. Overview.mp4
    03:04
  • 01. Introduction to Azure Databricks.mp4
    07:32
  • 02. Fundamentals of Azure Databricks.mp4
    02:40
  • 03. Creating an Azure Databricks Workspace.mp4
    07:44
  • 04. Getting Started with the Databricks CLI.mp4
    04:30
  • 05. Azure Spark Clusters.mp4
    06:30
  • 06. Notebooks.mp4
    05:08
  • 07. Azure Databricks Tables.mp4
    03:56
  • 08. Apache Spark Jobs.mp4
    05:49
  • 09. Summary.mp4
    02:02
  • 00. Overview.mp4
    01:45
  • 01. Basics of Extract, Transform, and Load (ETL) Process.mp4
    02:58
  • 02. Scenario - Working with Audience Information.mp4
    01:48
  • 03. Demo - Ingesting and Extracting Data in Azure Databricks.mp4
    06:37
  • 04. Demo - Transforming Data in Azure Databricks.mp4
    04:46
  • 05. Demo - Loading Data in Azure Databricks.mp4
    02:25
  • 06. Summary.mp4
    01:46
  • 00. Overview.mp4
    01:52
  • 01. Machine Learning Intro.mp4
    04:24
  • 02. Apache Spark Machine Learning Libray.mp4
    01:19
  • 03. Implementing a Batch Scoring Pipeline.mp4
    02:26
  • 04. Predictive Maintenance Batch Scoring.mp4
    02:40
  • 05. Demo - Performing Batch Scoring in Azure Databricks Setup.mp4
    01:32
  • 06. Demo - Setting up a Batch Scoring Environment.mp4
    02:11
  • 07. Demo - Ingesting Data into Azure Databricks.mp4
    01:23
  • 08. Demo - Implementing Feature Engineering.mp4
    02:30
  • 09. Demo - Build ML Models.mp4
    01:20
  • 10. Demo - Modeling Data in Azure Databricks.mp4
    02:33
  • 11. Demo - Add Batch Scoring Job for Scoring Pipeline.mp4
    03:33
  • 12. Summary.mp4
    02:05
  • 00. Overview.mp4
    01:35
  • 01. Apache Kafka on Azure HDInsight.mp4
    02:46
  • 02. Demo - Building a HDInsight Kafka Cluster.mp4
    03:07
  • 03. Demo - Configuring Kafka for IP Advertising.mp4
    02:52
  • 04. Demo - Create a Kafka topic.mp4
    01:37
  • 05. Demo - Building and Configuring a Spark Cluster.mp4
    02:15
  • 06. Virtual Network Peering.mp4
    02:54
  • 07. Azure Databricks and Streaming Data.mp4
    02:09
  • 08. Producing Events and Consuming Data with Databricks Notebooks.mp4
    02:56
  • 09. Summary.mp4
    02:09
  • Description


    Everyday we have more data, and the problem is how do we get to where we can use the data. Learn how Azure Databricks helps solve those data problems with a robust analytics platform for bringing your data together for data engineers and scientists.

    What You'll Learn?


      Every day, we have more and more data, and the problem is how do we get to where we can use the data for business needs. In this course, Implementing a Databricks Environment in Microsoft Azure, you will learn foundational knowledge and gain the ability to implement Azure Databricks for use by all your data consumers like business users and data scientists. First, you'll learn the basics of Azure Databricks and how to implement ts components. Next, you will discover how to work with Azure Databricks during ETL (Extract, Transform, Load) operations. Then, you'll move on to performing batch scoring with machine learning models. Finally, you will explore how to work with streaming data from HDInsight Kafka. When you’re finished with this course, you will have the skills and knowledge of Azure Databricks needed to implement data pipeline solutions for your data consumers. Software required: Microsoft Azure Subscription

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    Michael Bender
    Michael Bender
    Instructor's Courses
    Michael is a six-time Microsoft Most Valuable Professional, content developer, technical trainer, and community leader. Having been in the IT industry since the '90s, his experiences cover the gamut of Microsoft technologies, with his main focus being Windows Server, PowerShell and cloud technologies like AWS and Azure.
    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 41
    • duration 2:06:51
    • level preliminary
    • English subtitles has
    • Release Date 2023/10/11