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Real-Time Data Stream Processing in Azure [Video]

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

By Hersh Bhasin
$29.99
Video Jun 2020 1 hours 14 minutes 1st Edition
Video
$29.99
Subscription
$15.99 Monthly
Video
$29.99
Subscription
$15.99 Monthly

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Product Details

Publication date : Jun 29, 2020
Length 1 hours 14 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781800563391
Category :
Data
Concepts :
Data Processing
Tools :
Azure (Beginner)
toc View table of contents toc Download Code

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

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?

Feature icon Download this video in MP4 format
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details

Publication date : Jun 29, 2020
Length 1 hours 14 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781800563391
Category :
Data
Concepts :
Data Processing
Tools :
Azure (Beginner)

Table of Contents

3 Chapters
Course Overview Packt Packt
Introduction
Data Ingestion with Azure Event Hubs Packt Packt
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 Packt Packt
Understanding Azure Stream Analytics
Lab: Azure Stream Analytics

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Authors (1)

Profile Hersh Bhasin
Linkedin
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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