Opsgility Instructor-Led Training

IL - Designing and Implementing Big Data Analytics Solutions - Exam 70-475


Course Overview

Overview

The Azure Big Data and Analytics Boot camp 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. 



Learning Objectives

  • 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. 
  • Prepare for exam: 70-475 Designing and Implementing Big Data Solutions on Azure



Audience

  • Data specialists/Data scientists

Learning Format

  • 40% of the training will be taken online with using self-paced videos and hands-on labs.
  • 60% of the training will be taken with a live-instructor using a virtual training environment and hands-on labs

What is included?

  • 3 days of Live Instructor-Led Training
  • 60 days of access to Opsgility.com for online learning 
  • 200 Real Time Lab credits for hands-on learning in Microsoft Azure
  • Microsoft Certification Voucher and Practice Test

What You Will Learn

  • Understand the key capabilities of several Azure Data, Storage, Analytics and Intelligence services
  • Understand the core storage services including Data Lake Store, Blob Storage, HDFS, Event Hubs and IoT Hubs
  • Understand core processing services including HDInsight, Stream Analytics, SQL Data Warehouse and Data Lake Analytics
  • Understand how to operationalize data pipelines with Data Factory
  • Understand common architectures including Lambda and Kappa architectures
  • Understand how to manage and secure the data solution

Who this course is designed for

  • Data Professionals, Data Scientists
Schedule a private delivery

Delivery Options

  • Onsite Instructor-Led
  • Virtual Instructor-Led