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Pluralsight

Real World Big Data in Azure

via Pluralsight

Overview

The Big Data components of Azure let you build solutions which can process billions of events, using technologies you already know. In this course, we build a real world Big Data solution in two phases, starting with just .NET technologies and then adding Hadoop tools.

How do you make sense of Big Data? When you’re receiving 100 million events per hour and you need to save them all permanently, but also process key metrics to show real-time dashboards, what technologies and platforms can you use? This course answers those questions using Microsoft Azure, .NET, and Hadoop technologies: Event Hubs, Cloud Services, Web Apps, Blob Storage, SQL Azure, and HDInsight. We build a real solution that can process ten billion events every month, store them for permanent access, and distill key streams of data into powerful real-time visualizations.

Syllabus

  • Understanding Big Data in Azure 34mins
  • Ingesting Data into Event Hubs 46mins
  • Storing Event Data for Batch Queries 51mins
  • Querying Batch Data in Deep Storage 41mins
  • Normalizing Event Data for Real-Time Queries 51mins
  • Building Real-time Dashboards 39mins
  • Using Storm for the Plumbing 27mins
  • Using HBase for Storage 29mins

Taught by

Elton Stoneman

Reviews

4.6 rating at Pluralsight based on 192 ratings

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