Skip to content

Contact sales

By filling out this form and clicking submit, you acknowledge our privacy policy.

Working with Big Data on Azure

Course Summary

The Working with Big Data on Azure training course is designed to demonstrate how to utilize Big Data technologies within the Azure Cloud platform.

The course begins with the fundamentals of Azure, reviewing the Azure portal, resources, and compute options. Next, it transitions into Azure's HDInsights and how to introduce Big Data on the platform. The concludes by diving into the details of how to build and run Hadoop and Spark within Azure.

Purpose
 Learn how to use Big Data technologies on the Azure cloud.
Audience
 Developers and software engineers moving Big Data into Azure
Role
Software Developer
Skill Level
Intermediate
Style
Learning Spikes - Workshops
Duration
3 Days
Related Technologies
Big Data Training | Apache Spark | Hadoop | Azure

 

Productivity Objectives
  • Explain the fundamentals of Azure Platform and Azure Portal
  • Use HDInsights to manage data
  • Identify the Data, DBs and NoSQL options that are supported by Azure
  • Implement Hadoop and Spark on Azure
  • Summarize the Microsoft approach to machine learning

What You'll Learn:

In the Working with Big Data on Azure training course, you'll learn:
  • Azure Platform Fundamentals
    • Azure Portal
    • Azure Resources and Compute Options
    • Configuration and Management
  • Azure HDInsights
    • Introduction to Big Data on Azure and HDInsights
    • Understanding Windows Azure HDInsights Service
    • Provisioning
    • Automation and Maintenance
    • Logging & Troubleshooting
  • Hadoop Ecosystem on Azure
    • Hadoop Ecosystem Overview
    • Hadoop in Azure Cloud
    • Hadoop Tool/Framework Installations on Azure Resources
  • Apache Spark on Azure
    • Spark Introduction and Overview
    • Configure and Setup Apache Spark on Azure Cloud
    • Introduction to Spark Core, RDDs & Spark API
    • Introduction to Spark SQL
    • Introduction to Spark Streaming
    • Introduction to Spark ML and ML Lib
    • Introduction to Spark GraphX
  • Microsoft Machine Learning Overview
    • Introduction to Machine Learning and Predictive Analytics
    • Introduction to Azure Machine Learning
    • ML Studio overview
    • Data Visualization & Data Wrangling
    • Models - Overview
    • Clustering and Recommendations
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
tailored outlines

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

Dive in and learn more

When transforming your workforce, it's important to have expert advice and tailored solutions. We can help. Tell us your unique needs and we'll explore ways to address them.

Let's chat

By filling out this form and clicking submit, you acknowledge our privacy policy.