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Implement a Data Analytics Solution with Azure Databricks DP-3011

Implement a Data Analytics Solution with Azure Databricks DP-3011 Certification
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.

Implement a Data Analytics Solution with Azure Databricks DP-3011 Objective

  • In this course you will:
  • Gain hands-on experience in harnessing many of the capabilities of Azure Databricks for data engineering tasks.
  • Enhance your proficiency in Apache Spark a leading big data processing framework and leverage it effectively in the cloud environment.
  • Learn best practices for optimizing data workflows and pipelines ensuring efficiency and scalability.
  • Acquire the skills to build and deploy advanced machine learning models using Azure Databrick empowering you to extract actionable insights from your data.

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Key Point of Training Pragrams

  • Implement a Data Analytics Solution with Azure Databricks DP-3011 Outline

    Explore Azure Databricks
    Perform data analysis with Azure Databricks
    Use Apache Spark in Azure Databricks
    Manage data with Delta Lake
    Build data pipelines with Delta Live Tables
    Deploy workloads with Azure Databricks Workflows
    Use SQL Warehouses in Azure Databricks
    Run Azure Databricks Notebooks with Azure Data Factory

  • Implement a Data Analytics Solution with Azure Databricks DP-3011 Format

    In-Person

    Online

  • Implement a Data Analytics Solution with Azure Databricks DP-3011 Prerequisites

    None

    Certification Information:

    - Helps prepare for Exam DP-203: Data Engineering on Microsoft Azure

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