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Instructor: Vijay Sunder Sagar
Language: English
Validity Period: 365 days
1. Introduction & Overview
1. Azure Synapse Analytics Overview
2. Anzure Synapse Analytics Architecture
3. Create Azure Free Account for Synapse
2. Overview of pools in Synapse Analytics
1. Dedicated SQL pools
2. Serverless SQL pool
3. Apache Spark pools
4. Data Explorer pools
3. Using Azure Synapse Analytics to Query Data Lake
1. Creating Azure Synapse Analytics Workspace
2. Uploading Sample Data into Data Lake Storage
3. Exploring Azure Synapse Workspace and Studio
4. Querying a Data Lake Store using serverless SQL pools in Azure Synapse Analytics
5. Creating a View for CSV Data with a Serverless SQL Pool
4. Azure Storage Account Integration with Azure Synapse
1. Copy multiple files from blob to blob using wildcard file options
2. Copy multuple folders from blob to blob using dataset parameters
3. Get File Names from Folder Dynamically and copy latest file from folder
5. Azure Synapse Triggers
1. Schedule Trigger in Azure Synapse
2. Event Based Trigger in Azure Synapse
6. Azure SQL Database integration with Azure Synapse
1. Azure SQL Databases - Introduction Relational databases in Azure
2. Copy data from SQL Database to ADLS Gen2 using table, query and stored procedure
3. Overwrite and Append Modes in Copy Activity in Azure Synapse
4. Use Foreach loop activity to copy multiple Tables- Step by Step Explanation
7. Incremental Load to Azure Synapse in Azure Synapse
1. Incremental Load or Delta load from SQL to blob Storage in Azure Synapse
2. Multi Table Incremental Load or Delta load from SQL to to Azure Synapse
3. Incrementally copy new and changed files based on Last Modified Date
8. Logging and Notification and keyvault integration Azure Logic Apps
1. Log Pipeline Executions to SQL Table using Azure Synapse
2. Custom Email Notifications and keyvault integration with Linked Service
3. Send Error notification with logic app
4. Use Foreach loop activity to copy multiple Tables with pipeline logs logic and notifications
9. Deep dive into Copy Activity in Azure Synapse
1. Load data from on premise sql server to Azure Synapse
2. Copy Data from sql server to to Azure Synapse with polybase & Bulk Insert
3. Copy Data from on-premise File System to Azure Synapse
4. Loop through REST API copy data 2 ADLS Gen2 Linked Service Parameters
10. Data Flows Introduction
1. Azure Data Flows Introduction
2. Setup Integration Runtime for Data Flows
3. Basics of SQL Joins for Azure Data FlowsServerless SQL Pool Demo
4. Joins in Azure DataFlowsDedicated SQL Pool Demo
5. Difference Between Join vs.Lookup Transformation& Merge Functionality Spark Pool Demo
6. Dataflows – select the rows
7. Dataflows – Filter the rows
8. Dataflows – join Transformations
9. Dataflows – union Transformations
10. Dataflows – look up Transformations
11. Dataflows – window functions transformations
12. Dataflows – pivot, unpivot transformations
13. Dataflows – Alter rows transformations
14. Dataflows – Removing Duplicates transformations
15. Dataflows – SCD Types transformations
11. Spark Pool Introduction in Azure Synapse
1. Spark Introduction and components
2. Spark Architecture
3. Create notbook and notebook option and create notebook in different langauges
4. MSSparkUtils for file system
5. MSSparkUtils for for creating notebook parameters
6. Magic commands and calling one synapse notebook from another and returning output of synapse notebook
7. Configure keyvault in azure synapse notebook
8. Different ways to connect to ADLSGen2 from synapse notebook
9. Different ways to connect to Blob from synapse notebook
10. Different ways to connect to Azure SQL Database from synapse notebook
11. Different ways to connect to on premise SQL Server from synapse notebook
12. Optimization while Reading and writing CSV files from Azure Synapse
13. Reading and writing parquet files from Azure Synapse
14. Reading and writing JSON files from Azure Synapse
15. Reading and writing avro and orc files from Azure Synapse
16. Reading and writing EXCEL files from Azure Synapse
17. Different ways to create RDD in synapse notebook
18. Different ways to create dataframes in synapse notebook
19. When to use repartition and coalesce
20. Joins in Synapse Notebook
21. Broadcast Joins in Synapse Notebook and configuration of spark for optimization
22. what is catalyst optimiser and skewness issue in spark
23. Optimization techniques in pyspark
24. Implementing SCD1 in Synapse Notebook
25. Implementing SCD2 in Synapse Notebook
26. Executing synapse notebooks from synapse