MS-20776 - Performing Big Data Engineering on Microsoft Cloud Services

Duration: 3 days

Price: $2,795.00

SATVs: 5

This five-day instructor-led 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.

Upcoming Classes

Jun 28-Jun 30 Dallas, TX Enroll
Jun 28-Jun 30 Live Online - CST Enroll
Jun 28-Jun 30 Live Online - PST Enroll
Aug 02-Aug 04 Live Online - EST Enroll
Aug 30-Sep 01 Dallas, TX Enroll
Aug 30-Sep 01 Live Online - CST Enroll
Aug 30-Sep 01 Live Online - PST Enroll
Oct 11-Oct 13 Live Online - EST Enroll
Oct 11-Oct 13 Live Online - PST Enroll
Nov 15-Nov 17 Dallas, TX Enroll
Nov 15-Nov 17 Fremont, CA Enroll
Nov 15-Nov 17 Live Online - CST Enroll
Nov 15-Nov 17 Live Online - PST Enroll
Dec 13-Dec 15 Chandler, AZ Enroll
Dec 13-Dec 15 Live Online - EST Enroll
Dec 13-Dec 15 Live Online - MST Enroll
Dec 13-Dec 15 New York, NY Enroll

Course Timings: 8:00 a.m. – 6:00 p.m. M–F

This course requires that you meet the following prerequisites:

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.

Course Outline

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.

Course Details

This course is part of the following Boot Camps:

MS-MCSA-DE with Azure - MCSA: Data Engineering with Azure See Details