Microsoft Future Ready: Fundamentals of Big Data

Discover the tools available to you in Azure

More and more organisations are recognising the value of big data and how it can be used to drive informed decisions.

On this two-week course, you’ll get started with the big data curriculum from Microsoft to gain an introduction to working with data and extracting valuable insights.

You’ll be able to plan your learning schedule and connect with fellow students and teaching assistants as you learn the fundamental concepts and technologies for big data scenarios.

You’ll be given practical examples of the tools within the Azure platform, both for common data storage and big data problems, to understand how to use them in practice.

Learn the basics of databases and data storage

You’ll discuss data formats, technologies, and techniques to build a solid foundational knowledge of working with big data.

You’ll be able to describe the basic big data principles as well as being able to evaluate the fundamentals of databases.

Solve big data problems alongside industry experts

To help you understand what classifies as a big data problem, you’ll be introduced to the concept of the three Vs; volume, velocity, and variety.

You’ll be guided by the experts at CloudSwyft, a leading Learning-as-a-Service platform provider, to help you develop future-ready skills for a career in big data.

This course is designed for learners who want to start working with big data.

It will be particularly useful if you are interested in learning about the concepts of big data and data storage.

A working browser, preferably the latest version of Chrome.

This course is designed for learners who want to start working with big data.

It will be particularly useful if you are interested in learning about the concepts of big data and data storage.

• Assess how the Microsoft Big Data curriculum works
• Discuss data formats, technologies, and techniques
• Evaluate the fundamentals of Databases
• Describe the basic principles for working with Big Data