Irvine, California MOC 5522412 Azure Training -> Azure Big Data Analytics Solutions (55224-1) & Operationalize Cloud Analytics Solutions with Azure (55224-2)

Place your ideal selection of Dynamics Edge Microsoft MOC 5522412 excellent quality Azure training course you can trust that best suits your needs. There are options for a custom class.

Combo 4 day class including the following 2 courses Microsoft Azure Big Data Analytics Solutions (55224-1) & Operationalize Cloud Analytics Solutions with Microsoft Azure (55224-2)

Course Outline 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

Prerequisites

• 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.)

Course Outline Operationalize Cloud Analytics Solutions with Microsoft Azure (55224-2)

55224-2 is a two-day instructor-led course intended for data professionals who want to expand their knowledge about creating big data analytic solutions on Microsoft Azure. Students will learn how to operationalize end-to-end cloud analytics solutions using the Azure Portal and Azure PowerShell. It can be used on its own or with 55224-1, Microsoft Azure Big Data Analytics, to prepare for exam 70-475.

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

• Create a Data Factory
• Orchestrate data processing activities in a data-driven workflow
• Monitor and Manage a Data Factory
• Move, Transform or Analyze data
• Design a deployment strategy for end-to-end solutions with Azure Portal or PowerShell

Module 1: 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
• Create a data-driven workflow
• Monitor and Manage a Data Factory
• Move, Transform or Analyze data
• Design a deployment strategy for end-to-end solutions with Azure Portal or PowerShell

Module 2: Appendix B: PowerShell for Technology Professionals (Optional)

This module explains how to use PowerShell to administer computer, network, application and Azure resources.

• Introduction
• Compared to Other Scripting Languages
• Configuring and Using PowerShell
• Creating and Running Scripts
• Administering Local Resources
• Administering Network Resources
• Resolve PowerShell Scripting Problems.

Prerequisites

• 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 552241A.)

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