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Work with Hybrid Transactional and Analytical Processing Solutions using Azure Synapse Analytics

Offered By: Microsoft via Microsoft Learn

Tags

Microsoft Azure Courses Data Analysis Courses Apache Spark Courses Azure Cosmos DB Courses Azure Synapse Analytics Courses Schema Design Courses Data Aggregation Courses

Course Description

Overview

  • Module 1: Design hybrid transactional and analytical processing using Azure Synapse Analytics
  • After completing this module, you'll be able to:

    • Understand Hybrid Transactional and Analytical Processing patterns
    • Describe the supported analytical workloads
    • Explain HTAP scenarios in the context of Synapse Link
    • Describe the analytical store
    • Understand well defined schemas
    • Design schemas to support type of analytics
    • Design writeback scenarios
  • Module 2: Configure Azure Synapse Link with Azure Cosmos DB
  • After completing this module, you'll be able to:

    • Enable Cosmos DB Account to use Azure Synapse Link
    • Create an analytical store enabled container
    • Implement Synapse Link for Cosmos DB
    • Validate connectivity from Spark
    • Validate connectivity from SQL Serverless
  • Module 3: Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics
  • After completing this module, you'll be able to:

    • Query the Azure Cosmos DB analytical store
    • Perform simple aggregations with analytical store data
    • Perform cross container queries in Azure Cosmos DB
    • Perform complex queries with JSON data
    • Work with the windowing function and other aggregations
    • Write data back to the Azure Cosmos DB transactional store
    • Read data from the transactional store
  • Module 4: Query Azure Cosmos DB with SQL Serverless for Azure Synapse Analytics
  • After completing this module, you'll be able to:

    • Write basic queries against a single container
    • Perform cross dataset queries in Cosmos DB
    • Work with windowing function
    • Perform complex queries with JSON data

Syllabus

  • Module 1: Design hybrid transactional and analytical processing using Azure Synapse Analytics
    • Introduction
    • Understand hybrid transactional and analytical processing patterns
    • Describe the supported analytical workloads
    • Explain HTAP scenarios in the context of Synapse Link
    • Describe the analytical store
    • Understand well defined schemas
    • Design schemas to support type of analytics
    • Design writeback scenarios
    • Knowledge check
    • Summary
  • Module 2: Configure Azure Synapse Link with Azure Cosmos DB
    • Introduction
    • Enable Cosmos DB account to use Azure Synapse Link
    • Create an analytical store enabled container
    • Implement Synapse Link for Cosmos DB
    • Validate connectivity from Spark
    • Validate connectivity from SQL Serverless
    • Knowledge check
    • Summary
  • Module 3: Query Azure Cosmos DB with Apache Spark for Azure Synapse Analytics
    • Introduction
    • Query the Azure Cosmos DB analytical store
    • Perform simple aggregations with analytical store data
    • Perform cross container queries in Azure Cosmos DB
    • Perform complex queries with JSON data
    • Work with the windowing function and other aggregations
    • Write data back to the Azure Cosmos DB transactional store
    • Read data from the transactional store
    • Knowledge check
    • Summary
  • Module 4: Query Azure Cosmos DB with SQL Serverless for Azure Synapse Analytics
    • Introduction
    • Write basic queries against a single container
    • Perform cross container queries
    • Perform complex queries with JSON data
    • Work with windowing functions and other aggregations
    • Knowledge check
    • Summary

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