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Azure Databricks – B1 – Morning 7 am IST
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Azure Databricks – Training instructions
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Session recording 01 to 10Day 1 Data types and DBMS 17 Oct 202459m 22sDay 2 Azure Databricks account creation and architecture 18 Oct 20241h 4m 19sDay 3 Azure account subscription and management groups 21 Oct 202458m 8sDay 4 Datalake house, databricks and workspace, Apache spark 22 Oct 20241h 9m 52sDay 5 Azure Notebooks, Workspace and Compute 23 Oct 20241h 1m 41sDay 6 Azure Databricks catalogs, Unity Catalog and Lakehouse Federation 24 Oct 20241h 4m 19sDay 7 Load and transform data using Apache Spark Data Frames and Create catalogs 25 Oct 20241h 4m 44sDay 8 Working with Apache Spark and Notebook 29 Oct 20241h 7m 30sDay 9 Data Frame functions 30 Oct 20241h 4m 14sDay 10 Connect a remote repo to Azure and Databricks file system 04 Nov 20241h 3m 35s
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Session recording 11 to 20Day 11 Create Azure storage account and dbutils utility 05 Nov 20241h 6m 15sDay 12 Databricks CLI, Azure KeyVault, dbutils.secrets 06 Nov 20241h 7m 14sDay 13 Create SQL Server, Connect with SQL Server and Query Database 07 Nov 20241h 6m 13sDay 14 Auto Loader, first ETL workload, Build an end-to-end data pipeline and Dashboards 08 Nov 20241h 9mDay 15 Pyspark functions, SQL functions, Pyspark UDF, Azure Data Factory, Databricks, Azure Synapse 11 Nov 20241h 17m 38s
