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MOC On-Demand: Performing Big Data Engineering on Microsoft Cloud Services


New MOC On-Demand 

MOC On-Demand is an integrated blend of video, text, hands-on labs, and knowledge checks, designed to help IT professionals and developers build their skills on Microsoft technologies. The courses provide a self-paced, stand-alone training alternative for those who prefer to learn at their own convenience. They can also be used in conjunction with instructor-led training to provide a blended classroom experience or be used as a foundation for a training solution that includes mentoring and other learning services.

Performing Big Data Engineering on Microsoft Cloud Services

About this course

This 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.

Audience Profile

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.

At Course Completion:

At the completion of this course participants 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.
  • Additional Resources:

    Instructor-led Training: 20776 Performing Big Data Engineering on Microsoft Cloud Services




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Course Info

  • Code: OD20776
  • Duration: 90 Days
  • Price: $1,089.00

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