Loading...
Login / Register

Course 552241A: Designing and Implementing Big Data Analytics Solutions

This community course is aligned to the 70-475: Desiging and Implementing Big Data Analytics Solutions exam. This is a two in one module that is targeted towards data management professionals, data architects, data scien... Show More
Course Prerequisites:
None
Add to Cart Request a Quote

Instructor-Led Training (ILT)

Attend training in a classroom environment at a campus near you. Instructor-led training is still the number one delivery method of choice because it allows you to interact and discuss the training material, either individually or in a group setting, and you gain access to expert knowledge from certified instructors. This form of guided learning is impactful and produces positive learning outcomes. Day, evening and Saturday classes are offered.

Course Price (ILT)
R10,271.97

* incl. VAT

Exam
Included

Duration
4 Days

70-475: Designing and Implementing Big Data Analytics Solutions

Course Content

Module 1: Design big data batch processing and interactive solutions (Covered in 55224A-1)
This module explains how to load data into Microsoft Azure for batch processing.

Lessons

  • Ingest data for batch processing
  • Design for batch processing
  • Design interactive queries
  • Review

Lab 1: Design big data batch processing and interactive solutions

  • Load data into Microsoft Azure
  • Prepare data for batch processing
  • Query the data

Module 2: Design big data real-time processing solutions (Covered in 55224A-1)
This module explains how to load data into Microsoft Azure for real-time processing.

Lessons

  • Ingest data for real-time processing
  • Design for real-time processing
  • Design interactive queries for big data
  • Review

Lab 1: Design big data real-time processing solutions

  • Load data into Microsoft Azure
  • Prepare data for real-time event processing
  • Visualize the data

Module 3: Design Machine Learning solutions (Covered in 55224A-2)
This module explains how to use machine learning models to automate data analysis.

Lessons

  • Create workspaces
  • Select models and query parameters
  • Publish web services
  • Review

Lab 1: Design Machine Learning solutions

  • Create workspaces
  • Select models and query parameters
  • Publish web services

Module 4: Operationalize end-to-end cloud analytics solutions (Covered in 55224A-2)
This module explains how to Azure Data Factory to centrally manage data from different sources.

Lessons

  • Create a data factory
  • Manage and Monitor the data factory
  • Deploy end-to-end solutions using PowerShell
  • Review

Lab 1: Operationalize end-to-end cloud analytics solutions

  • Create a data factory
  • Manage and Monitor the data factory
  • Deploy end-to-end solutions using PowerShell
CTU Training Solutions , Updated: April 23rd, 2019

Share with friends

Request a Quote



Your Name

Your Surname

Contact Number

Your Email

Company

Which campus would you like to study at?

Your job title

Will your training be sponsored?

Message

The course information above is subject to change without notification due to market trends in the industry, legislation and/or programme version updates. Terms and Conditions

Join the CTU community

Join the CTU Community Portal and gain access to superior resources.

Join for Free

Thank you for printing this page.
Logo
0861 100 395
[email protected]
www.ctutraining.ac.za

X

Call me Back

Leave your details and we'll contact you back!

Your Name:

Your Email:


Contact Number:

Choose a campus