Book Image

Data Analytics Made Easy

By : Andrea De Mauro
4 (1)
Book Image

Data Analytics Made Easy

4 (1)
By: Andrea De Mauro

Overview of this book

Data Analytics Made Easy is an accessible beginner’s guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don’t worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You’ll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You’ll not only be able to understand data scientists’ machine learning models; you’ll be able to challenge them and build your own. Creating interactive dashboards – Follow the book’s simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results.
Table of Contents (14 chapters)
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Technology for data analytics

The technology that empowers data analytics in a company does not look like a monolithic body. In fact, there are several hardware and software systems involved. For simplicity, you can think of them as being organized into three layers: these are piled upon each other and form the so-called Technology Stack. Every layer relies on the one below to function properly. Let's take a bottom-up "helicopter" view of the fundamental features that you need to know about for each layer of the stack:

  • The underlying layer is the Physical Infrastructure. This is stuff you can touch. It is made up of servers or mainframe computers that store and process data. Companies can decide to either build and maintain a physical infrastructure of their own (normally kept in corporate data centers) or rely on cloud providers from whom they rent only the required resources.
  • The middle layer is the Data Platform. The technology at this level implements...