IL - Big Data and Machine Learning (ML)
Instructor-Led Training
Intermediate
3 Days
Onsite or Virtual
Course Overview

The Azure Big Data and Machine Learning Bootcamp is designed to give students a clear architectural understanding of the application of big data patterns in Azure. Students will participate in team based architectural planning and hands-on implementation sessions.  Students will be taught basic Lambda architecture patterns in Azure, leveraging the scalability and elasticity of Azure in Big Data and IoT solutions.

An introduction to data science techniques in Azure will also be covered.  Individual case studies will focus on specific real-world problems that represent common big data patterns and practices. Students will also experience several hands-on labs to introduce them to some of the key services available. 

Format: Instructor-led with hands-on labs and whiteboard design sessions

Objectives
  • Students will be taught Lambda architecture patterns in Azure, leveraging the scalability and elasticity of Azure in Big Data and IoT solutions.
  • An introduction to data science techniques in Azure will also be covered.
  • Individual case studies will focus on specific real-world problems that represent common big data patterns and practices.
Pre-Requisites
  • Suggested to have core understanding of cloud technologies
  • Background in database administration, data architecture or data science

MODULE 1: Overview Big Data and IoT Solutions in Azure

This module will provide an overview of big data and IoT solutions in Azure. We will look at the Azure components used in big data solution and how they fit together to build an end-to-end lambda architecture in Azure.


MODULE 2: Big Data Processing in Azure
This module will teach students how to architect big data processing solutions in Azure. We will cover a variety of scenarios including HDInsight, Spark, Storm, R Server, Hadoop on IaaS, and Azure Data Lake. 

MODULE 3: Managing and Orchestrating Data Processes in Azure
This module will be focused on managing and monitoring data pipelines in Azure. We will use Azure Data Factory to show how to build data pipelines with built-in monitoring and the ability to connect to a variety of data sources both in Azure and on-premises.

Whiteboard Design and Hands-On Lab

In this architecture session students will design a big data solution leveraging patterns learned throughout the class.

In the lab the student will build an end-to-end big data solution based on a lambda architecture. This will include all components of the architecture from real-time data ingestion, to batch processing, to streaming analytics, and visualization.

MODULE 4: Introduction to Azure ML
This module provides students with a jump start into machine learning processes critical to understanding more advanced Azure ML architecture. 

Whiteboard Design and Hands-On Lab

In this architecture session students will work as a team and learn to design and build real-time IoT solutions in Azure.  
In the lab, students will build a full IoT solution including IoT device management, IoT data ingestion, data storage and processing 

Dedicated Training
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Dedicated instructor-led training is designed for group training and is delivered by the experts at Opsgility. Delivery availability is anywhere in the world at your location or using advanced virtual training software.

Benefits
  • Standard or Customized Curriculum
  • Globally Available for Delivery
  • Holistic Learning Plans are Available
  • Industry Recognized Subject Matter Experts