Perform Big Data Engineering on Microsoft Cloud Services (70-776) Training


This course is designed for Data Engineers who in day to day life needs insight of Big data processing and Analytics on Azure.  The course has also been aligned to but may not be covering all aspects of Microsoft Azure Certification 70-776.

Course Duration: 5 Day(s)


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.


Big Data processing using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse and Azure Data Factory.

Who Should Attend

Basics of RDBMS, Azure and Azure Data Services

Target Audience

Developers / Data Scientist / Data Engineer & Data Analyst


Data Engineer & Data Analyst