Performing Big Data Engineering on Microsoft Cloud Services (MOC-20776)

MOC-20776 (5 Days)

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Big Data Training Overview

Accelebrate's Microsoft course 20776, Performing Big Data Engineering on Microsoft Cloud Services training, teaches attendees how to analyze and manage Big Data using Azure tools and services including Azure Stream Analytics, Azure Data Lake, Azure SQL Data Warehouse, and Azure Data Factory. Students also learn how to include custom functions written in Python or R.

Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

Big Data Training Objectives

All students will learn how to:

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

Big Data Training Outline

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Introduction
Architectures for Big Data Engineering with Azure
  • Understanding Big Data
  • Architectures for Processing Big Data
  • Considerations for designing Big Data solutions
Processing Event Streams using Azure Stream Analytics
  • Introduction to Azure Stream Analytics
  • Configuring Azure Stream Analytics jobs
Performing custom processing in Azure Stream Analytics
  • Implementing Custom Functions
  • Incorporating Machine Learning into an Azure Stream Analytics Job
Managing Big Data in Azure Data Lake Store
  • Using Azure Data Lake Store
  • Monitoring and protecting data in Azure Data Lake Store
Processing Big Data using Azure Data Lake Analytics
  • Introduction to Azure Data Lake Analytics
  • Analyzing Data with U-SQL
  • Sorting, grouping, and joining data
Implementing custom operations and monitoring performance in Azure Data Lake Analytics
  • Incorporating custom functionality into Analytics jobs
  • Managing and Optimizing jobs
Implementing Azure SQL Data Warehouse
  • Introduction to Azure SQL Data Warehouse
  • Designing tables for efficient queries
  • Importing Data into Azure SQL Data Warehouse
Performing Analytics with Azure SQL Data Warehouse
  • Querying Data in Azure SQL Data Warehouse
  • Maintaining Performance
  • Protecting Data in Azure SQL Data Warehouse
Automating the Data Flow with Azure Data Factory
  • Introduction to Azure Data Factory
  • Transferring Data
  • Transforming Data
  • Monitoring Performance and Protecting Data
Conclusion
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Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

MOC-20776

Duration:

5 Days

Prerequisites:

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

Training Materials:

All Microsoft training students receive Microsoft official courseware.

Software Requirements:

Attendees will not need to install any software on their computer for this class. The class will be conducted in a remote environment that Accelebrate will provide; students will only need a local computer with a web browser with a stable Internet connection. Any recent version of Internet Explorer, Mozilla Firefox, or Google Chrome will be fine.

When you call us about purchasing this class, we will provide a live demo of the online lab environment so that you may explore the web browser interface in more detail.

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

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