Data is more accessible than ever, and is an integral part of every new business. However, when starting out in the data field, it is easy to get caught up in the hype, pursue the latest buzzwords and get lost before delivering real value to your business.
This book intends to provide you with a high-level view of the whole data analytics pipeline. You can think of it as an index of important topics that you should know, and where to get more resources if you want to dig deeper in a particular problem.
After finishing this book, you will walk away with a just-about-enough level of understanding for each of the topic, and see how they link together in the big picture.
This book is also written in the style of a reference manual for the whole analytics pipeline, so feel free to jump to any chapter that is most relevant to you, instead of reading it chronologically.
We are Holistics. We’ve been making data analytics tools for over five years, and helped more than a hundred companies build their business intelligence capabilities, sometimes from scratch.
A huge chunk of our time is spent educating and assisting companies as they migrate to this new world of cloud-based business intelligence tools. For the first time ever, we’re putting that experience up for the world to read.
This book is written for people who want to know what goes into a full data stack. If you’re feeling lost due to the sheer amount of terminology and the wide range of software in data analytics, this may be the book for you.
The book will be especially beneficial to those who have some technical knowledge, but who don’t particularly understand the entire data landscape. In other words, you may be:
So read on.
This guide is not written for non-technical business practitioners.
If you are a CEO or a project manager or a business team leader initiating a data analytics project for your company, it is best that you have a technical team member to help you go through the content presented in this book.
This guidebook is also not written for experienced data engineers who manage large-scale analytics system and want deeper knowledge about one particular problem. That said, you might still find some parts of the book useful, especially the part on Data Modeling and Transformation.
In this book, you will learn
And here’s what you won’t get from reading this book:
Are you ready to read the book? If so, let’s begin. Head over to High-level: What a typical analytics setup looks like and let’s start digging in.