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Microsoft DP-3011 - Implementing a Data Analytics Solution with Azure Databricks

  • Length 1 day
Course overview
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Why study this course

Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.

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What you’ll learn

After completing this course, students will be able to:

  • Provision an Azure Databricks workspace

  • Identify core workloads and personas for Azure Databricks

  • Describe key concepts of an Azure Databricks solution

  • Describe key elements of the Apache Spark architecture

  • Create and configure a Spark cluster

  • Describe use cases for Spark

  • Use Spark to process and analyse data stored in files

  • Use Spark to visualise data

  • Describe core features and capabilities of Delta Lake

  • Create and use Delta Lake tables in Azure Databricks

  • Create Spark catalog tables for Delta Lake data

  • Use Delta Lake tables for streaming data

  • Create and configure SQL Warehouses in Azure Databricks

  • Create databases and tables

  • Create queries and dashboards

  • Describe how Azure Databricks notebooks can be run in a pipeline

  • Create an Azure Data Factory linked service for Azure Databricks

  • Use a Notebook activity in a pipeline

  • Pass parameters to a notebook


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Who is the course for?

  • Data Engineer


Course subjects

  • Explore Azure Databricks

  • Use Apache Spark in Azure Databricks

  • Use Delta Lake in Azure Databricks

  • Use SQL Warehouses in Azure Databricks

  • Run Azure Databricks Notebooks with Azure Data Factory


Prerequisites

  • Fundamental knowledge of data analytics concepts


Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.


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