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Engineering Data with Microsoft Cloud Services (20776)

Course Description Schedule Course Outline
 

Course Overview

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.

Who should attend

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.

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.

Course Objectives

After completing this course, students 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.

Course Content

  • 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
Classroom Training
Modality: C

Duration 5 days

Dates and Booking
 
Click on town name to book Schedule
Middle East
United Arab Emirates
24/03/2019 - 28/03/2019 Dubai Course language: English
25/08/2019 - 29/08/2019 Dubai Course language: English
Qatar
25/08/2019 - 29/08/2019 Doha Course language: English
Africa
Egypt
24/03/2019 - 28/03/2019 Cairo Course language: English
25/08/2019 - 29/08/2019 Cairo Course language: English
Europe
Germany
11/03/2019 - 15/03/2019 Düsseldorf
08/04/2019 - 12/04/2019 Berlin
13/05/2019 - 17/05/2019 Stuttgart
11/06/2019 - 14/06/2019 Frankfurt 4 days
01/07/2019 - 05/07/2019 Münster
22/07/2019 - 26/07/2019 Munich
12/08/2019 - 16/08/2019 Hamburg
02/09/2019 - 06/09/2019 Düsseldorf
Italy
04/03/2019 - 08/03/2019 Rome
06/05/2019 - 10/05/2019 Milan
10/06/2019 - 14/06/2019 Rome
22/07/2019 - 26/07/2019 Milan
16/09/2019 - 20/09/2019 Rome
04/11/2019 - 08/11/2019 Milan
09/12/2019 - 13/12/2019 Rome
Switzerland
22/07/2019 - 26/07/2019 Zurich
United Kingdom
11/03/2019 - 15/03/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
24/06/2019 - 28/06/2019 FLEX training This is an English language FLEX course.
Time zone: Europe/London
This is a FLEX course, which is delivered both virtually and in the classroom.