Big Data Engineering for Analytics

Create and manage Big Data infrastructure and tools, and is someone that knows how to get results from vast amounts of data quickly

Introduction

This course helps data engineers focus on essential design and architecture while building a data lake and relevant processing platform. Participants will learn various aspects of data engineering while building resilient distributed datasets. Participants will learn to apply key practices, identify multiple data sources appraised against their business value, design the right storage, and implement proper access model(s).  

 

Course Objectives of Big Data Engineering for Analytics

 

Course Outlines of Big Data Engineering for Analytics

Day 1

Data Science, Data Engineering, Big Data, and Analytics Perspective

Day 2

Architectural Viewpoints and Hadoop Ecosystem

Day 3

File Storage and Databases for Big Data

Day 4

Management of Big Data

Day 5

Dealing with a case study 

 

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