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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تولید کننده: A Cloud Guru