It's All Analytics - Part II

Chapter 5 Data in Motion, Data Pipes, APIs, Microservices, Streaming, Events, and More

DOI: 10.4324/9780429343957-7

It is a capital mistake to theorize before one has data. Insensibly one begins to twist facts to suit theories, instead of theories to suit facts.

Sir Arthur Conan Doyle, Sherlock Holmes

Introduction

As we said in the introductory chapter of Part 2 (Chapter 4, “Overview”), there are many ways to categorize and organize the subject of data topics. Regardless of how organized, one element that is important to any data architecture is the different ways to connect and move data within and between what we generically call “data stores”; this could be anything that stores data from enterprise databases to local files to data stored ...