OD20776: MoD 20776: Performing Big Data Engineering on Microsoft Cloud Services (On Demand)

*1  exkl. 19% MwSt. / *2  inkl. 19% MwSt.
  • 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
  • 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.
  • Programming experience using R, and familiarity with common R packages
  • Knowledge of common statistical methods and data analysis best practices.
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Working knowledge of relational databases.

Recommended system requirements for Microsoft Official Courses On-Demand and labs include:

  • Windows 10
  • Current version of Internet Explorer or Microsoft Edge
  • Broadband Internet connection (256 kilobytes per second)
  • External access to the Internet
  • Either an installed ActiveX control (requires local administrator permissions) or Internet Explorer 11 or later
  • For some corporate firewalls, a proxy client (such as TMG Client) may be required
  • 1280 x 1024 or higher

Note You can also take a MOC On-Demand on your iPad® Retina 4th Generation; however, the lab experience is not optimized for tablets.

Note Regularly scheduled maintenance for the Microsoft Labs Online (MLO) platform is currently at 10–12 P.M. Pacific Time every Thursday. During that time, you may not be able to access the MLO associated with a MOC On-Demand.

The minimum system requirements for MOC On-Demand and labs include:

  • Windows 7 or later
  • Internet Explorer 9 or later
  • Broadband Internet connection (256 kilobytes per second)
  • External access to the Internet
  • Either an installed Active X control (requires local administrator permissions) or Internet Explorer 11 or later
  • For some corporate firewalls, a proxy client (such as TMG Client) may be required

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.

  • 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.
  • Original-Microsoft-Training
  • MOC On-Demand is currently available only in English
  • combination of video, text, practical tasks and knowledge tests
  • special offers like discounts are considered when taking the exam.

About Microsoft Official Course On-Demand

The courses are a great alternative for anyone wanting to learn independently and at their own pace. As a participant, you will receive an access to a learning platform developed by Microsoft, providing you with content such as videos, tutorials as well as a Live Lab-Environment for exercises.

As one of the leading Microsoft Learning Partners in Germany, GFN AG works closely with Microsoft together. On request, we can offer you additional services like digital training materials or an individual exam preparation in one of our Training center. For further information, you can also visit the following website MoC On Demand-Infoseite or feel free to contact us.

First published: 29 March 2018

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