Managing Activities and Data for Azure Big Data Analytics

Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level

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Overview/Description
Implementing Azure big data analytics requires managing the Data Factory, loading and transforming data. This course covers monitoring the Azure Data Factory and troubleshooting problems as well as loading and transforming data.

Target Audience
Professionals who are preparing to take the 70-475: Designing and Implementing Big Data Analytics Solutions certification exam, and who are experienced in designing, programming, implementing, automating, and monitoring Microsoft Azure cloud platform solutions. Exam candidates should also be adept at using development tools, techniques, and design methodologies associated with the implementations of cloud-based big data analytics solutions.

Prerequisites
None

Expected Duration (hours)
1.5

Lesson Objectives

Managing Activities and Data for Azure Big Data Analytics

start the course

launch and navigate the Monitoring and Management app

navigate the Resource Explorer tab

create alerts to get notified of errors

rerun selected activities and pause or resume multiple pipelines

navigate the Diagram View

identify potential errors and solutions with Data Factory

recognize common problems with installation and registration and possible solutions

recognize common problems with limited functionality and possible solutions

recognize other possible problems and solutions

use Azure Data Factory Copy Wizard

recognize steps to load big data from Azure Blob Storage into Azure SQL Data Warehouse

recognize steps to copy data from on-premise to a cloud storage and from one cloud storage to another

recognize methods for data transformation and prerequisites

transform data with a pipeline using Visual Studio

use Hive Activity to transform data

use Pig Activity to transform data

use MapReduce Activity

recognize how to use stored procedure activities

recognize how to create custom activities

monitor and identify common problems and recognize their solutions

Course Number:
df_dibd_a06_it_enus

Expertise Level
Expert