Ohio Microsoft MOC 552241 Azure Training

Ohio Microsoft MOC 552241 Azure Training - Dynamics Edge

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

4.67 4.67 out of 5 stars, based on 80 reviews.^*

Course	Start Date	End Date	Location	Length

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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: 2019-02-21

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