Ohio Microsoft Official Course 552241 Azure Training - Dynamics Edge

Ohio Microsoft MOC 552241 Azure Training -> Microsoft Azure Big Data Analytics Solutions (55224-1)

Dynamics Edge4.67 4.67 out of 50 stars, based on 80 reviews.*
CourseStart DateEnd DateLocationLength
10/22/201810/23/2018
OhioOhio
Ohio
2 days
10/22/201810/23/2018
Live VirtualLive Virtual
Live Virtual
2 days

Place your ideal selection of Dynamics Edge MOC Course 552241 exceptional Azure training course you can trust that will make the best results for you. Customized training may also be possible.

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

Course Outline

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.)

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Last updated: 2018-10-21

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