• 100 Queen St W, Brampton, ON L6X 1A4, Canada
  • +1-800-961-0337
START DATE END DATE CLASS TIMINGS MODE LOCATION ACTION
11/15/2018 11/16/2018
  • VLT
Live Online
12/13/2018 12/14/2018
  • VLT
Live Online

About this course: it is a two-day course designed for data professionals who have intentions of expanding their knowledge and big data analytic solutions on Microsoft Azure.  Students will be learning the designing of solutions for batch and real-time data processing.  Different methods such as Azure CLI, Azure PowerShell, and Azure Portal will be described and practiced in lab exercises. Labs and exercises of this course will cover the first two objectives of exam 70-475 (Designing Big Data batch, interactive & real-time solutions) and rest will be covered by course 55224-2 

Audience profile

This course is designed for data professionals who tend to design solutions for big data analytics on Microsoft Azure.

At course completion

On completion of this course, students will be able to:

  • Do the designing of big data batch processing and interactive solutions    (55224A-1)
  • Do the designing of big data real-time processing solutions   (55224A-1)
  • Do the Designing of Machine Learning solutions    (55224A-2)
  • Make in Operation an end-to-end cloud analytics solutions  (55224A-2)

Module 1: Designing big data batch processing and interactive solutions (Covered in 55224-1): This module discusses loading of data into Microsoft Azure for batch processing.

Learnings

  • Data ingestion for batch processing
  • Designing for batch processing
  • Designing queries which are interactive
  • Review of what we learned

Lab: Designing big data batch processing and interactive solutions

  • Data loading into Microsoft Azure
  • Preparation of data for batch processing
  • Data query

On completion of this module, students will be able to:

  • Data loading into Microsoft Azure
  • Do the preparation of data for batch processing
  • Do data query

Module 2: Designing solutions for big data real-time processing (Covered in 55224-1): This module discusses loading of data into Microsoft Azure for real-time processing.

 

Learnings

  • Data ingestion for real-time processing
  • Designing for real-time processing
  • Designing interactive queries for big data
  • Review of what we learned

Lab: Designing big data real-time processing solutions

  • Loading data into a Microsoft Azure enabled system
  • Preparation of data for real-time event processing
  • Visualization of the data

On completion of this module, students will be able to:

  • Loading data into a Microsoft Azure enabled system
  • Make preparation of data for real-time event processing
  • Visualization of the data

Module 3: Designing Machine Learning solutions (Covered in 55224A-2)This module discusses the use of machine learning models for automating data analysis.

Learnings

  • Creation of workspaces
  • Selection of Models and query parameters
  • Web services publishing
  • Review of what we learned

Lab: Designing Machine Learning solutions

  • Creation of workspaces
  • models and query parameters and their selection
  • Web services and their publishing

On completion of this module, students will be able to:

  • Do the Creation of workspaces and sharing them
  • Make the Selection of model and query parameters
  • Make access to machine learning models

Module 4: Operation of end-to-end cloud analytics solutions (Covered in 55224-2): This module discusses the central management of data from different sources using Azure Data Factory.

Learnings

  • Creation of a data factory
  • Management and Monitoring of data factory
  • Deployment of end-to-end solutions using PowerShell
  • Review of what you have learned

Lab: Operation of end-to-end cloud analytics solutions

  • Data factory creation
  • Management and Monitoring of data factory
  • Deployment of an end-to-end solution using PowerShell

On completion of this module, students will be able to:

  • Do data factory creation
  • Do the management and Monitoring of the data factory
  • Perform the deployment of data factory using PowerShell

Prior to attending this course, students must have:

  • Hands-on Experience in processing and query of bulk data
  • Experience in analyzation of real-time and historical data
  • Experience in use of SQL and data analysis/visualization tools (for e.g. Power BI)
  • Experience of using and basic working with PowerShell

Awards