552241 Microsoft Azure Big Data Analytics Solutions
CLASS DATE(s):
7/30/2020 - 7/31/2020
9/24/2020 - 9/25/2020

COURSE LENGTH: 2 Days

COURSE COST: $995

COURSE TIMES: 9:00am - 4:30pm

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COURSE OVERVIEW

55224A-1 as a two-day instructor-led course 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 Azure CLI, Azure PowerShell and Azure Portal.
55224A-1 labs and exercises cover the first two objectives of exam 70-475 (Designing Big Data batch, interactive & real-time solutions). The other two objectives (Designing Machine Learning and cloud analytics solutions) are covered in 55224A-2.

AUDIENCE AND PREREQUISITES

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

Before attending this course, students must have:

  • Experience processing and querying bulk data.
  • Experience analyzing 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.)

  

*Course cost listed does not include the cost of courseware. Please contact us @ learn@vtec.org or 207-775-0244 for additional pricing information or if you have any questions. Course is subject to minimum enrollment. If minimum is not met this class may run as a LDL / Virtual class.
Note: This course is eligibile for Microsoft SATVs.

COURSE TOPICS:


Module 1: Design big data batch processing and interactive solutions (Covered in 55224A-1)
Ingest data for batch processing
Design for batch processing
Design interactive queries
Review
Lab : Design big data batch processing and interactive solutions

Module 2: Design big data real-time processing solutions (Covered in 55224A-1)
Ingest data for real-time processing
Design for real-time processing
Design interactive queries for big data
Review
Lab : Design big data real-time processing solutions

Module 3: Design Machine Learning solutions (Covered in 55224A-2)
Create workspaces
Select models and query parameters
Publish web services
Review
Lab : Design Machine Learning solutions

Module 4: Operationalize end-to-end cloud analytics solutions (Covered in 55224A-2)
Create a data factory
Manage and Monitor the data factory
Deploy end-to-end solutions using PowerShell
Review
Lab : Operationalize end-to-end cloud analytics solutions