• Microsoft Fabric For Beginners
In this tutorial, I explain how to build a monitoring, reporting and alerting system on ever-changing Lakehouse tables.
Chapters:
00:00- Introduction
01:01- Preview
03:02- Overview of key Real-Time Analytics components
04:39- Design considerations
06:04- Architecture options
12:36- Demo 1: Building near real-time reporting
21:44- Demo 2: Building a smart alerting system based on Event Streams and Data Activator
You can download the demo artifacts here:
Notebook: 3.12 RTA/3.12 Building Real-Time Analytics on Lakehouse-Part2.ipynb
Data:
https://github.com/fazizov/youtube/bl...
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Check out this tutorial to learn more about
Spark Structured Streaming: • 3.08 Introduction to Spark Structured... , • 3.09 Spark Streaming Deep-Dive for Mi... ,
Change Data Feed and Time Travel: • 3.10 Delta Lake Change Data Feed and ...
Event Streams: • 4.02 Mastering Event Stream Transform...
Data Activator: • 5.02 Build Your Smart Monitoring with...
Official Documentation:
https://learn.microsoft.com/en-us/fab...
https://learn.microsoft.com/en-us/fab...
https://docs.delta.io/2.0.0/delta-cha...
https://delta.io/blog/2023-02-01-delt...
https://spark.apache.org/docs/latest/...
https://learn.microsoft.com/en-us/fab...
Hashtags:
#realtimeanalytics, #streaming, #microsoftfabric ,#azure,#microsoft, #dataengineering,#cloudcomputing, #dataanalytics, #lakehouse, #azuretutorial, #azuretraining, #datapipeline, #dataextraction , #dataintegration, #datatransfer, #dataflow, #spark, #deltalake, #synapse, #synapsedataenginering, #demo, #datalake, #transformation, #ingested, #datawarehouse, #dataintegration, #azuredatabricks ,#databricks, #bigdata, #bigdatatechnologies, #pyspark, #sparksql, #notebook ,#transformationvideo, #bronze, #medallion , #modeling, #facts, #silver, #gold, #historical data, #timetravel, #incremental,#datafactory, #dataactivator
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