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Implementing a Data Analytics Solution with Azure Synapse Analytics DP-3012

Implementing a Data Analytics Solution with Azure Synapse Analytics DP-3012 Certification
This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.

Implementing a Data Analytics Solution with Azure Synapse Analytics DP-3012 Objectives

  • Introduction to Azure Synapse Analytics
  • Use Azure Synapse serverless SQL pool to query files in a data lake
  • Analyze data with Apache Spark in Azure Synapse Analytics
  • Use Delta Lake in Azure Synapse Analytics
  • Analyze data in a relational data warehouse
  • Build a data pipeline in Azure Synapse Analytics

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Key Point of Training Pragrams

  • Implementing a Data Analytics Solution with Azure Synapse Analytics DP-3012 Outline

    MODULE 1: Introduction to Azure Synapse Analytics

    Learn about the features and capabilities of Azure Synapse Analytics - a cloud-based platform for big data processing and analysis.

    - Introduction
    - What is Azure Synapse Analytics
    - How Azure Synapse Analytics works
    - When to use Azure Synapse Analytics
    - Exercise - Explore Azure Synapse Analytics
    - Knowledge check
    - Summary

    MODULE 2: Use Azure Synapse serverless SQL pool to query files in a data lake

    With Azure Synapse serverless SQL pool, you can leverage your SQL skills to explore and analyze data in files, without the need to load the data into a relational database.

    - lntroduction
    - Understand Azure Synapse serverless SQL pool capabilities and use cases
    - Query files using a serverless SQL pool
    - Create external database objects
    - Exercise - Query files using a serverless SQL pool
    - Knowledge check
    - Summary

    MODULE 3: Analyze data with Apache Spark in Azure Synapse Analytics

    Apache Spark is a core technology for large-scale data analytics. Learn how to use Spark in Azure Synapse Analytics to analyze and visualize data in a data lake.

    - Introduction
    - Get to know Apache Spark
    - Use Spark in Azure Synapse Analytics
    - Analyze data with Spark
    - Visualize data with Spark
    - Exercise - Analyze data with Spark
    - Knowledge check
    - Summary

    MODULE 4:Use Delta Lake in Azure Synapse Analytics

    Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture in Azure Synapse Analytics.

    - Introduction
    - Understand Delta Lake
    - Create Delta Lake tables
    - Create catalog tables
    - Use Delta Lake with streaming data
    - Use Delta Lake in a SQL pool
    - Exercise - Use Delta Lake in Azure Synapse Analytics
    - Knowledge check
    - Summary

    MODULE 5: Analyze data in a relational data warehouse

    Relational data warehouses are a core element of most enterprise Business Intelligence (BI) solutions, and are used as the basis for data models, reports, and analysis.

    - Introduction
    - Design a data warehouse schema
    - Create data warehouse tables
    - Load data warehouse tables
    - Query a data warehouse
    - Exercise - Explore a data warehouse
    - Knowledge check
    - Summary

  • Implementing a Data Analytics Solution with Azure Synapse Analytics DP-3012 Format

    In-Person

    Online

  • Implementing a Data Analytics Solution with Azure Synapse Analytics DP-3012 Prerequisites

    The Audience should have familiarity with notebooks that use different languages and a Spark engine such as Databricks, Jupyter Notebooks, Zeppelin notebooks and more. They should also have some experience with SQL, Python and Azure tools such as Data Factory.

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