Azure MasterClass: Analyze Data With Azure Stream Analytics Online Course

Azure MasterClass: Analyze Data With Azure Stream Analytics

This course teaches you how to design, deploy, configure and manage your real time scalable data analytics in the Azure cloud resources with Azure Stream Analytics. The course will start with basi...

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Course Description

This course teaches you how to design, deploy, configure and manage your real time scalable data analytics in the Azure cloud resources with Azure Stream Analytics. The course will start with basics of ASA and query setup, and then moves deeper into details about ASA and its other integrated services so you can make the most out of the functionalities you have available in this tool. If you’re serious about building scalable, flexible and robust data analytics With no infrastructure to manage, where you can process data on-demand, scale instantly, and only pay per job, then this course is for you. These data analytics and Cloud Computing skills are in high demand, but there’s no easy way to acquire this knowledge. Rather than rely on hit and trial method, this course will provide you with all the information you need to get started with your Azure data analytics projects. Startups and technology companies pay big bucks for experience and skills in these technologies. They demand data engineers to provide them real time actionable analysis - and in turn, you can demand top dollar for your abilities.

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What you’ll learn

how to design, deploy, configure and manage your real time scalable data analytics in the Azure cloud resources with Azure Stream Analytics.
These data analytics and Cloud Computing skills are in high demand

Covering Topics

Section 1 : Introduction

Section 2 : Introduction To Azure Stream Analytics

Section 3 : Deep Dive Into Azure Stream Analytics Jobs

Section 4 : Build Azure Stream Analytics Pipeline

Section 5 : Run Azure Stream Analytics Job

Section 6 : Azure Stream Analytics Components

Section 7 : Azure Stream Analytics And Microsoft PowerBI

Section 8 : Visualize Azure ASA Output In Microsoft PowerBI

Section 9 : Maven and Jenkins

Section 10 : Integrating cucumber Framework with Jenkins

Curriculum

  Section 1 : Introduction
1
Welcome and introduction Preview
2
An important message about the course
3
Prepare for the course
4
Course overview
5
Download resources
6
Get ready for Azure ASA

  Section 2 : Introduction To Azure Stream Analytics
7
Introduction to Azure Stream Analytics Preview
8
Azure Stream Analytics jobs
9
Get started with Azure ASA job

  Section 3 : Deep Dive Into Azure Stream Analytics Jobs
10
Introduction to Azure ASA job
11
Deep dive into Azure ASA job
12
Azure ASA job components

  Section 4 : Build Azure Stream Analytics Pipeline
13
Deploy Azure Event Humb Preview
14
Prepare Azure ASA job
15
Setup data generation
16
Setup reference data

  Section 5 : Run Azure Stream Analytics Job
17
Azure ASA job output Preview
18
Run Azure ASA job
19
Run Azure ASA job #2

  Section 6 : Azure Stream Analytics Components
20
Azure ASA query elements
21
Azure ASA query elements #2
22
Azure ASA query elements #3

  Section 7 : Azure Stream Analytics And Microsoft PowerBI
23
Azure ASA and Microsoft PowerBI

  Section 8 : Visualize Azure ASA Output In Microsoft PowerBI
24
Integrate Azure ASA with Microsoft PowerBI
25
Visualize streaming data in Microsoft PowerBI
26
Microsoft PowerBI visualization options

  Section 9 : Maven and Jenkins
23
Importance of Maven in Framework development
24
Installing and configuring Maven
25
Understanding Terminologies of Maven
26
Creating Maven Project and importing into eclipse
27
Understanding POM.xml file and its dependencies
28
Importance of surefirePlugin in executing Tests
29
Importance of Jenkins in Test frameworks
30
Install and configure Jenkins
31
Configuring Jenkin Settings and Workspace

  Section 10 : Integrating cucumber Framework with Jenkins
32
Running the cucumber project from Maven
33
Scheduling the project from Jenkin job

Frequently Asked Questions

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A Course helps the user understand a specific part of a concept. While a path and E-Degrees are broader aspects and help the user understand more than just a small area of the concept.

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