Microsoft Azure Big Data Analytics Solutions

Microsoft Azure Big Data Analytics Certification Training Course Overview

Enrol for two-day instructor-led course Microsoft Azure Big Data Analytics Solutions training from Koenig Solutions accredited by Microsoft. It is intended for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure.

Students will learn how to design solutions for batch and real-time data processing. Different methods of using Azure will be discussed and practiced in lab exercises, such as Azure CLI, Azure PowerShell and Azure Portal. 552241A labs and exercises will cover the first two objectives of exam 70-475 (Designing Big Data batch, interactive & real-time solutions). The other objective (Operationalize end-to-end cloud analytics solutions) is covered in 552242A.

Target Audience:

This course is intended for experienced data professionals who design big data analytics solutions on Microsoft Azure.

Learning Objectives:

  • Design big data batch processing and interactive solutions (552241A)
  • Design big data real-time processing solutions (552241A)
  • Operationalize end-to-end cloud analytics solutions (552242A)

 

Microsoft Azure Big Data Analytics Solutions (Duration : 16 Hours) Download Course Contents

Live Virtual Classroom

Fee : On Request
9 AM - 5 PM (Flexible Time Slots for 4 hours option)




August
8 Hours/Day
02-03
08-09
09-10
02-05
08-11
09-12
September
8 Hours/Day
06-07
12-13
13-14
20-21
06-09
12-15
13-16
20-23
October
8 Hours/Day
04-05
10-11
11-12
18-19
04-07
10-13
11-14
18-21
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Special Solutions for Corporate Clients! Click here Hire Our Trainers! Click here

Request More Information

Course Prerequisites

Before attending this course, students must have:

  • Experience processing and querying bulk data
  • Experience analysing real-time and historical data
  • Experience using SQL and data analysis / visualization tools (e.g. Power BI)
  • Experience using PowerShell (Note: A basic PowerShell tutorial is included in the course.)