Chapter 1: Introducing the Evolution of Data Analytics Patterns

Data analytics is an ever-changing field. A little history will help you appreciate the strides in this field and how data architectural patterns have evolved to fulfill the ever-changing need for analytics.

First, let's start with some definitions:

  • What is analytics? Analytics is defined as any action that converts data into insights.
  • What is data architecture? Data architecture is the structure that enables the storage, transformation, exploitation, and governance of data.

Analytics and the data architecture that enables analytics goes a long way. Let's now explore some of the patterns that have evolved over the last few decades.

This chapter explores the genesis of data growth ...

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