VTEC Training
Course Code: 5584
552241 Microsoft Azure Big Data Analytics Solutions
VTEC Training
Portland,
ME
Class Dates:
5/26/2022
Length:
2 Days
Cost:
$1290.00
Class Time:
Technology:
Database
Delivery:
Instructor-Led Training, Virtual Instructor-Led Training
Overview
- 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
- This course is intended for experienced data professionals who design big data analytics solutions on Microsoft Azure.
Prerequisites
- 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 Details
- 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