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Real-Time Data Stream Processing in Azure

Real-Time Data Stream Processing in Azure: Delve into big data streaming with Azure using Event Hubs, Data Lake, and Azure Stream Analytics

Hersh Bhasin

$29.99

Video Jun 2020 1hr 14mins 1st Edition

Renews at $19.99p/m

Hersh Bhasin

$29.99

Video Jun 2020 1hr 14mins 1st Edition

Renews at $19.99p/m

Renews at $19.99p/m

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Download this video in MP4 format

Access this title in our online reader with advanced features

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Key benefits

Learn to think of data as an ever-flowing stream of events
Discover how to harness the power of data events using Azure Stream Analytics
Get up to speed with Azure Event Hubs

Description

A modern digital company captures a large amount of data every day. This data gets locked in data islands such as caches, queues, and logs, and extracting this data and making it useful poses a major challenge. Real-time data processing is the most effective alternative to traditional extract, transform, and load (ETL) processes. This course will help you to think of data as an ever-flowing stream of events instead of data as islands locked away in databases. This course employs live labs to get you up to speed with Azure Event Hubs and teach you how to create C# console applications for sending and receiving data from Event Hubs. As you advance, you'll learn how to capture and archive data from Azure Event Hubs to Azure Data Lake. The subsequent videos will show you how to provision Event Hubs, Data Lake, and SQL Server databases in Azure. Toward the end of the course, you'll write an analytics job to stream live data from an event hub to a SQL Server database. By the end of this course, you'll have developed a solid understanding of how to stream big data using Azure Stream Analytics. All the codes and supporting files for this course will be available at- https://github.com/PacktPublishing/Real-Time-Data-Stream-Processing-in-Azure

Who is this book for?

This course is for Azure developers and big data engineers looking to change their approach to data processing. To take this course, you should have an Azure portal account. A free Azure trial account will also work.

What you will learn

Gain a thorough understanding of Azure Stream Analytics
Discover how to ingest data using Azure Event Hubs
Find out how to archive data from Event Hubs to Azure Data Lake
Provision Event Hubs, Data Lake, and SQL Server in Azure
Listen to an event hub and stream the data to a SQL Server table
Communicate with event hubs for effortless data transfer
Discover how event hub groups work

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Jun 29, 2020

Length: 1hr 14mins

Edition : 1st

Language : English

ISBN-13 : 9781800563391

Category :

Data

Languages :

Concepts :

Tools :

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Table of Contents

3 Chapters

Course Overview

Data Ingestion with Azure Event Hubs

Understanding Event Hubs

Lab: Provisioning a Event Hub

Lab: Sending Events to an Event Hub

Lab: Receiving Events from an Event Hub

Lab: Event Hub Consumer Groups

Lab: Capturing Event Data to a Data Lake

Azure Stream Analytics

Understanding Azure Stream Analytics

Lab: Azure Stream Analytics

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About the author

Hersh Bhasin

Hersh Bhasin

Hersh Bhasin is a published author and work as a Cloud Architect with J.P. Morgan Chase where he is part of the Enterprise Cloud Solutions Architecture team responsible for creating cloud architectural blueprints, guidance, Infrastructure as Code and best practices for fostering cloud adoption across the three public cloud providers (AWS, Azure and Google).

See other products by Hersh Bhasin

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