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3.05 Mastering Bronze Layer Transformations with PySpark in Microsoft Fabric Lakehouse? 1 год назад


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3.05 Mastering Bronze Layer Transformations with PySpark in Microsoft Fabric Lakehouse?

   • Microsoft Fabric For Beginners   This video explores common transformation techniques for Microsoft Fabric Lakehouse's Bronze layer. I explain common data cleansing and refinement tasks and demonstrate how these tasks can be implemented using PySpark methods. I also demonstrate common parsing techniques for JSON data. You can download related material from here: Demo notebook: https://github.com/fazizov/youtube/bl... Sample files: https://github.com/fazizov/youtube/bl... Chapters: 00:00- Introduction 02:05- Preview 03:37- Demo start- upload source files 05:26- PySpark notebook demo - reading CSV files using read API's 06:10- Exploring data irregularities 08:14- Renaming columns using withColumnRenamed method 10:04- Eliminating unnecessary columns by using drop and select methods 11:33- Filter out dirty data using filter and where methods 12:40- Adding source metadata- filename and current timestamp 14:32- Deduplication using dropDuplicates method 16:15- Writing into Delta Lake table using the write method. Selecting correct write mode- append vs overwrite 19:25- Parsing JSON data using read API's 22:53- Referring to JSON node names 23:30- Flattening array type data by using the explode method 24:47- Simple technique to extract all subfields of JSON node at once Please subscribe:    / @fazizov   Official Documentation: https://learn.microsoft.com/en-us/fab... https://learn.microsoft.com/en-us/fab... https://spark.apache.org/docs/3.1.2/a... https://spark.apache.org/docs/3.1.3/a... https://sparkbyexamples.com/pyspark/p... https://sparkbyexamples.com/pyspark/p... Hashtags: #datafactory, #microsoft,#microsoftfabric ,#azure, #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, #kimball, #dimensions , #modeling, #facts, #silver, #gold, #historical data

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