MOD 20776: Engineering Data with Microsoft Cloud Services


During this five-day instructor-led course, students will learn 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. ow to include custom functions, and integrate Python and R Is also covered in this course. 

Data engineers, IT professionals, developers, and information workers; who plan to implement big data engineering workflows on Azure are the focused individuals for this course.

Upon completion of this course, students will be able to:

  • Describe common architectures for processing big data using Azure tools and services
  • Describe how to use Azure Stream Analytics to design and implement stream processing over large-scale data
  • Describe how to include custom functions and incorporate machine learning activities into an Azure Stream Analytics job
  • Describe how to use Azure Data Lake Store as a large-scale repository of data files
  • Describe how to use Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store
  • Describe how to create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs
  • Describe how to use Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest
  • Describe how to use Azure SQL Data Warehouse to perform analytical processing, how to maintain performance, and how to protect the data
  • Describe how to use Azure Data Factory to import, transform, and transfer data between repositories and services
  • Describe the purpose of Azure Data Factory, and explain how it works
  • Describe how to create Azure Data Factory pipelines that can transfer data efficiently
  • Describe how to perform transformations using an Azure Data Factory pipeline
  • Describe how to monitor Azure Data Factory pipelines, and how to protect the data flowing through these pipelines




In addition to their professional experience,  it is recommended that students attending this course have:  

  • 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
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