Working with Big Data on Azure Course

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

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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

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about our training

Real-World Content

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

Industry experts with 15+ years of industry experience that bring their battle scars into the classroom.
Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
Fully Customized

One-size-fits-all doesn't apply to training teams. That's where we come in!

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