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DP-203: Processing in Azure Using Batch Solutions

سرفصل های دوره

You'll prepare for the Azure DP-203 exam by learning how to develop and manage end-to-end batch processing solutions using Azure services.


01 Introduction
  • 001 Course Introduction
  • 002 Setting Up the Environment

  • 02 Develop a Batch Processing Solution
  • 001 Section Introduction
  • 002 Identifying Azure Services for Batch Processing
  • 003 Developing a Batch Processing Solution with Azure Synapse Analytics
  • 004 Introducing Dedicated SQL Pool
  • 004 Memory and Concurrency Limits for Dedicated SQL Pool in Azure Synapse Analytics.txt
  • 005 Introducing PolyBase
  • 006 Demo Using PolyBase to Load Data to Dedicated SQL Pool
  • 006 GitHub link to Demo Files.txt
  • 008 Introducing Azure Synapse Link (HTAP Solutions and Cosmos DB)
  • 009 Demo Implementing Azure Synapse Link for Cosmos DB and Querying the Replicated Data
  • 009 GitHub link to Demo Files.txt
  • 010 Creating Data Pipelines Using Synapse Pipelines and Data Factory
  • 010 GitHub link to Demo Files.txt
  • 012 Creating Tests for Data Pipelines
  • 013 GitHub link to Demo Files.txt
  • 013 Integrating JupyterPython Notebooks into a Data Pipeline
  • 014 GitHub link to Demo Files.txt
  • 014 Introducing Mapping Data Flows in Synapse Pipelines and Data Factory
  • 015 Introducing Inserts Upserts and Updates
  • 016 Demo Upserting Data in Azure Synapse Analytics Part 1
  • 016 GitHub link to Demo Files.txt
  • 017 Demo Upserting Data in Azure Synapse Analytics Part 2
  • 017 GitHub link to Demo Files.txt
  • 019 GitHub link to Demo Files.txt
  • 019 Introducing Activity Dependencies in Synapse Pipelines and Data Factory
  • 020 Configuring Exception Handling in Synapse Pipelines and Data Factory
  • 021 GitHub link to Demo Files.txt
  • 021 Introducing Integration Runtime in Synapse Pipelines and Data Factory
  • 022 Using Self-Hosted Integration Runtime to Copy Data from On-Premises Data Source
  • 023 Reverting Data to a Previous State in Azure Storage
  • 024 Reverting Data to a Previous State in Azure SQL and Dedicated SQL Pool Databases
  • 025 Introducing Azure Databricks
  • 026 GitHub link to Demo Files.txt
  • 026 Setting Up Azure Databricks Workspace
  • 027 Building a Data Pipeline Using Azure Databricks
  • 027 GitHub link to Demo Files.txt
  • 028 GitHub link to Demo Files.txt
  • 028 Integrating Databricks with Synapse Pipelines and Data Factory
  • 029 Introducing Delta Lake with Azure Databricks Part 1
  • 030 Introducing Delta Lake with Azure Databricks Part 2
  • 031 GitHub link to Demo Files.txt
  • 031 Read from and Write to Delta Lake Part 1
  • 032 GitHub link to Demo Files.txt
  • 032 Read from and Write to Delta Lake Part 2
  • 033 Memory and Concurrency Limits for Dedicated SQL Pool in Azure Synapse Analytics.txt
  • 033 Scale Azure SQL and Dedicated SQL Pool Databases
  • 034 Section Recap

  • 03 Manage Batches and Pipelines
  • 001 Section Introduction
  • 002 Introducing Azure Batch
  • 003 Demo Processing Data with Azure Batch
  • 003 GitHub link to Demo Files.txt
  • 004 Handle Failed Batch Loads for Azure Batch
  • 005 Validate Batch Loads for Azure Batch
  • 006 Configure Batch Retention for Azure Batch
  • 006 GitHub link to Demo Files.txt
  • 007 GitHub link to Demo Files.txt
  • 007 Trigger Azure Batch with Synapse Pipelines and Data Factory
  • 008 GitHub link to Demo Files.txt
  • 008 Manage Data Pipelines with Synapse Pipelines and Data Factory
  • 009 Introducing Windows
  • 010 Schedule Data Pipelines in Synapse Pipelines and Data Factory
  • 011 GitHub link to Demo Files.txt
  • 011 Manage Spark Jobs in a Pipeline
  • 012 Introducing Git and GitHub
  • 013 Implement Version Control for Pipeline Artifacts
  • 015 Section Recap

  • 04 Conclusion
  • 001 Course Summary
  • 002 Conclusion and Whats Next
  • 003 Exam Guide
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