MOC 20776 A: Performing Big Data Engineering on Microsoft Cloud Services

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MOC 20776 A: Performing Big Data Engineering on Microsoft Cloud Services

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This five-day instructor-led course describes how to process Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse, and Azure Data Factory. The course also explains how to include custom functions, and integrate Python and R.

In addition to their professional experience, students who attend this training should already have the following technical knowledge:

  • A good understanding of Azure data services.
  • A basic knowledge of the Microsoft Windows operating system and its core functionality.
  • A good knowledge of relational databases.

5 Days/Lecture & Lab

The primary audience for this course is data engineers (IT professionals, developers, and information workers) who plan to implement big data engineering workflows on Azure.

Architectures for Big Data Engineering with Azure

  • Processing Event Streams using Azure Stream Analytics
  • Performing custom processing in Azure Stream Analytics
  • Managing Big Data in Azure Data Lake Store
  • Processing Big Data using Azure Data Lake Analytics
  • Implementing custom operations and monitoring performance in Azure Data Lake Analytics
  • Implementing Azure SQL Data Warehouse
  • Performing Analytics with Azure SQL Data Warehouse
  • Automating the Data Flow with Azure Data Factory




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