Big Data

by David Ellis

As a finance professional, you need to understand Big Data both from a technical and business perspective, and understand the opportunities it presents for your organisation. This course introduces the main concepts so you can use data more effectively across your business.

This course is not currently available

This course will enable you to

  • Understand the basic ideas behind big data, its key characteristics and the business opportunities it offers
  • Identify the three categories big data falls into; structured, unstructured and semi-structured
  • Build and maintain a big data system using a number of different technology components
  • Understand how value can be derived from big data

About the course

Everybody is talking about 'big data' but what does it actually mean? If harnessed correctly, 'big data' represents an opportunity to grow or improve business operations. As a finance professional, you need to understand the basics of the term both from a technical and business perspective, and understand the opportunities it presents for your organisation.

This course will introduce you to the main concepts behind the phrase 'big data', so you can understand how to use data more effectively across your business. It will also demystify some of the terms that are used, helping you cut through the hype and understand how it can deliver value for your organisation.

Look inside

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Contents

  • Big data fundamentals
    • What does the term 'big data' mean?
    • How are companies using big data?
    • How has big data evolved?
    • What are the key characteristics of big data?
    • How do you get started with big data?
    • What are the advantages of using big data?
  • Types of big data
    • What is structured data?
    • What is unstructured data?
    • What is semi-structured data?
  • Technology components
    • What are the technology components?
    • What infrastructure do you need?
    • What should you think about with databases?
    • How do you approach analytics and reporting?
    • Should you consider using applications?
  • Where does the value come from?
    • What are the common difficulties with big data?
    • What has actually changed?
    • How do you get value from big data analysis?
    • How do you implement big data from scratch?

How it works

Author

David Ellis

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This course is not currently available. To find out more, please get in touch.