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Data Engineering on Microsoft Azure

Categories Microsoft
₹36,960.00
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Objectives

  • Implementing Azure data storage solutions
  • Evolution of the Data Engineer role over the years
  • Managing and troubleshooting Azure data solutions
  • Monitoring and optimizing Azure data solutions
  • Working with Azure Databricks, Azure Data Factory, NoSQL, and more

Prerequisite

  • AZ-900 – Azure Fundamentals
  • DP-900 – Microsoft Azure Data Fundamentals
  • OR
  • Data processing languages like SQL, Python, or Scala
  • Parallel processing and data architecture patterns

Target Audience

  • Microsoft Azure Data Engineers
  • Microsoft Azure Data Scientist
  • Database and BI developers
  • Database Administrators
  • Data Analyst or similar profiles
  • On-Premises Database related profiles who want to learn how to implement these technologies in Azure Cloud.

Course Curriculum

Module 1 : Introduction to data engineering on Azure

Module 2 : Introduction to Azure Data Lake Storage Gen2

Module 3 : Introduction to Azure Synapse Analytics

Module 4 : Use Azure Synapse serverless SQL pool to query files in a data lake

Module 5 : Use Azure Synapse serverless SQL pools to transform data in a data lake

Module 6 : Create a lake database in Azure Synapse Analytics

Module 7 : Analyze data with Apache Spark in Azure Synapse Analytics

Module 8 : Transform data with Spark in Azure Synapse Analytics

Module 9 : Use Delta Lake in Azure Synapse Analytics

Module 10 : Analyze data in a relational data warehouse

Module 11 : Load data into a relational data warehouse

Module 12 : Build a data pipeline in Azure Synapse Analytics

Module 13 : Use Spark Notebooks in an Azure Synapse Pipeline

Module 14 : Plan hybrid transactional and analytical processing using Azure Synapse Analytics

Module 15 : Implement Azure Synapse Link with Azure Cosmos DB

Module 16 : Implement Azure Synapse Link for SQL

Module 17 : Get started with Azure Stream Analytics

Module 18 : Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics

Module 19 : Visualize real-time data with Azure Stream Analytics and Power BI

Module 20 : Introduction to Microsoft Purview

Module 21 : Integrate Microsoft Purview and Azure Synapse Analytics

Module 22 : Explore Azure Databricks

Module 23 : Use Apache Spark in Azure Databricks

Module 24 : Run Azure Databricks Notebooks with Azure Data Factory

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