Database & Reporting Training / Big Data Training
MOC 20776 - Performing Big Data Engineering on Microsoft Cloud Services
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:
Big Data Training Outline
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
Protecting Data in Azure SQL Data Warehouse
Automating the Data Flow with Azure Data Factory
Introduction to Azure Data Factory
Monitoring Performance and Protecting Data
In addition to their professional experience, students who attend this training should already have the following technical knowledge:
All Microsoft training students receive Microsoft official courseware.
Software needed for each student PC:
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.
For classes delivered online, all participants need either dual monitors or a separate device logged into the online session so that they can do their work on one screen and watch the instructor on the other. A separate computer connected to a projector or large screen TV would be another way for students to see the instructor's screen simultaneously with working on their own.