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DP-203: Data Engineering in Microsoft Azure, Part 4 of 7: Streaming Analytics

with expert Eshant Garg


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Course at a glance

Included in these subscriptions:

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  • Dev & IT Pro Power Pack

Release date 4/18/2022
Level Intermediate
Runtime 1h 1m
Closed captioning N/A
Transcript N/A
eBooks / courseware N/A
Hands-on labs N/A
Sample code Included
Exams Included


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Course description

The DP-203 Exam is measured in Four domains: Design and implement data storage (40-45%), Design and develop data processing (25-30%), Design and implement data security (10-15%), and Monitor and optimize data storage and data processing (10-15%). This course covers Streaming Analytics.

Prerequisites

AZ-900 Azure Fundamentals is very helpful but not required. A Candidate for the exam must have strong knowledge of data processing languages such as SQL, Python, or Scala, and they need to understand parallel processing and data architecture patterns.

Meet the expert

Eshant Garg has 16 years of extensive professional experience with expertise in Database and Business Intelligence Solutions, Advanced Analytics, Design and Solution Architect, Reporting, and Cloud Computing Technologies (Azure & AWS). As a developer and architect, he has worked closely with customers, users, and colleagues to support business solutions across a variety of industries including healthcare, insurance, finance, and government ranging from small companies to fortune 500 companies.

Course outline



Module 15

Azure Stream Analytics (23:16)
  • Introduction (00:08)
  • Learning Objectives (01:22)
  • Introducing Azure Stream Analytics (06:13)
  • What Is Time Windowing (02:19)
  • Tumbling Window (02:30)
  • Hopping Window (02:11)
  • Sliding Window (02:19)
  • Session Window (06:02)
  • Summary (00:08)
Processing Input from Blob Storage (18:56)
  • Introduction (00:08)
  • Demo: Asa Processing Input From Blob Storage (07:16)
  • Configuration Options (05:46)
  • Configure Query (05:38)
  • Summary (00:08)
Processing Input from IOT Hub (19:01)
  • Introduction (00:08)
  • Demo: Asa Processing Input From Iot Hub (04:30)
  • Create Device (07:42)
  • Start The Job (06:33)
  • Summary (00:08)