Introduction to Big Data

16 Hours

TDXBI-106

Course outline

The term "Big Data" refers to technologies for analyzing and managing data repositories that are unstructured, coming from multiple sources, in varying quantities, and with variable quality. The course introduces the students to the realm of big data, the basic concepts, tools and techniques.

On completing this course, delegates will be able to recognize common solutions that exist in the market for data analysis and processing, choose the correct tools and techniques for practical analysis.

Upcoming meetings

There are no upcoming meetings for this course.
Contact us to schedule this course, which will be customized specifically for your organization.
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Download Full Syllabus

Modules

  • What is Big Data?
  • Why is Big Data important?
  • Challenges of big data Processing and Analysis
  • Examples of Big Data use cases
  • Hadoop ecosystem overview
  • NoSQL databases
  • Cloud co mputing services for Big Data
  • Introduction to Hadoop
  • Big Data Integ ration with Kafka
  • What is NoSQL?
  • When to use NoSQL databases
  • NoSQL families
  • Market leaders: MongoDB and Elasticsearch
  • Introduction to cloud computing
  • Market leaders in cloud computing
  • Big data services on the cloud
  • Data storage options for Big Data
  • Scalable rela tional databases
  • Enterprise data warehouse
  • Loading data into Big Data systems
  • Storing query results
  • Concepts of Artificial Intelligence and Machine Learning
  • Market trends in AI and ML

Prerequisites

  • 01 This course is designed for people with a basic background in the sphere of data applications.

Target Audience

  • This course is intended for Any employee who is required to process, analyze, and view data on a large scale.

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