MOC 552241 - Microsoft Azure Big Data Analytics Solutions (55224-1)
55224-1 is 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. 55224-1 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 55224-2.
Who Should Attend
This course is intended for experienced data professionals who design and build big data analytics solutions on Microsoft Azure.
After Course Completion
- Design big data batch processing and interactive solutions
- Design big data real-time processing solutions
- Design Machine Learning solutions
- Operationalize end-to-end cloud analytics solutions
- Design a deployment strategy for end-to-end solutions with Azure Portal or PowerShell
Module 1: Design big data batch processing and interactive solutions
This module explains how to load data into Microsoft Azure for batch processing..
- Ingest data for batch processing
- Design for batch processing
- Monitor and Manage a Data Factory
- Design interactive queries
Module 2: Design big data real-time processing solutions
This module explains how to load data into Microsoft Azure for real-time processing.
- Ingest data for real-time processing
- Design for real-time processing
- Design interactive queries for big data
Module 3: Design Machine Learning solutions
This module explains how to use machine learning models to automate data analysis.
- Create workspaces
- Select models and query parameters
- Publish web services
Module 4: Operationalize end-to-end cloud analytics solutions
This module explains how to Azure Data Factory to centrally manage data from different sources.
- Create a data factory
- Manage and Monitor the data factory
- Deploy end-to-end solutions using PowerShell
- 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.)
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