Big Data

Big Data: Principles and Best Practices of Scalable Real-Time Data Systems

Course Description

Services like social networks, web analytics and intelligent e-commerce often need to manage data at a scale too big for a traditional database. Complexity increases with scale and demand, and handling big data is not as simple as just doubling down on your RDBMS or rolling out some trendy new technology; you just need to take a different approach.

This course teaches you the concept of big data and using different layers like batch, serving and speed architectures.

Learning Outcomes

  • Understand what is a big data.
  • Understand what is a batch layer.
  • Understand what is a serving layer.
  • Understand what is a speed layer.

Content Highlights

  • A new paradigm for big data.
  • Data modelling for big data.
  • Serving layer.
  • Realtime views.

Target Audience

IT Managers, System Analysts, Database Admin and IT Operations Officers

Prerequisite

BIBF   : None
Other : Knowledge of Microsoft Excel

Course Structure

This course includes lectures, group discussion and case studies. Additional self-study hours of approximately 5 hours are also expected.

Assessment Type

Assessed

Duration

Course Days: 2
Hours per day: 3
Self-study hours: 5
Others: N/A

Date

24-25 April 2019
29-30 December 2019

Register Now

To register for the course, please fill in the details below and a BIBF representative will attend to you within the next 24 hours.


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    BIBF Digital Transformation Academy