Big Data Training

The World of Big Data at your Fingertips

Course Objectives

This workshop is designed for all professionals who are focused on managing the data in today’s corporate landscape.
The participants of this workshop will learn about managing humungous data sets and complexities with respect to various forms of data – Structured, Unstructured or Semi-structured.

Our expert trainer will work with the participants to help them understand how the data can be streamlined and used in a meaningful manner to derive further insights and decision making for the growth of both Small and Medium Enterprises (SMEs) and Large Enterprises.

Course Outline

Understanding Big Data

1. In-depth understanding of Big Data concepts
2. Use and applicability of Big Data in current world
3. Examples of Big Data
4. Application to Business Management

Variants of Big Data

1. 1. Learning about types of Big Data
  2. Characteristics of Big Data
  3. Downsides of Big Data
  4. Concept of IoT

Learning about various Big Data tools and their features

Details of Big Data Tools and its applications in real business scenarios
Learning Big Data Tools Architecture and Ecosystem
Learning about most commonly used Big Data Tools

How various developed countries pioneers in application of Big Data and analytics

Use of practical examples to showcase Singapore’s expertise and relevance to real world
Using Big Data and Analytics to solve Business Problems

Training Outcomes

Multiple examples of how Big Data is being used in real world will be given during the session. Participants will be able to understand the application of Big Data tools and concepts across various industries so that they can consider the examples provided in class and the solution approaches for implemention at their workplace.

Intended For?

The training is ideal for all who deal with large volume of data and have access to large data set in their respective organizations and need tools and technologies to further enhance their efficiency and productivity in managing data and drawing insights from data.

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