DP-203: Processing in Azure Using Streaming Solutions

سرفصل های دوره

Learn about processing data streams using Azure Event Hubs, Stream Analytics, and Databricks to prepare for the DP-203 exam section: Develop a Stream Processing Solution.

01 Introduction

001 Course Introduction

002 Introducing a Scalable Leaderboard Solution for All Your Games

1697733325985-DP-203 Study Guide Compressed.pdf

02 Developing a Stream Processing Solution

001 Identifying Azure Services for Stream Processing

002 Process Time Series Data

003 Demo Create a Stream Processing Solution by Using Stream Analytics and Azure Event Hubs

003 Direct link to the load generation script on GitHub.txt

005 Instructions for installing Azure Event Hubs Library into a Databricks cluster.txt

005 Process Data by Using Spark Structured Streaming

006 Demo Create Windowed Aggregates

008 Introducing Schema Drift

008 More on Input Validation in Azure Stream Analytics.txt

008 More on the Event Hub Schema Registry.txt

009 Demo Handle Schema Drift

010 Process within One Partition

011 Process Data across Partitions

012 Optimize Pipelines for Analytical or Transactional Purposes

014 More about Streaming Units on Microsoft Learn.txt

014 More about Throughput Units on Microsoft Learn.txt

014 Scale Resources

015 Demo Create Tests for Data Pipelines

016 Configure Checkpoints and Watermarking during Processing

017 Handling Late-Arriving Data

018 Handle Interruptions

019 Demo Configure Exception Handling

021 Demo Upsert Data

022 Replay Archived Stream Data

023 Section Recap

load-generator.ps1.txt

03 Conclusion

001 Course Summary

002 Conclusion and Whats Next

003 Exam Tips

1695663072892-M03-L03 Study Guide.pdf

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تولید کننده: A Cloud Guru