Have you ever wondered how to build a contemporary analytics stack that is useful, scalable, and easy to maintain? And have you looked into building such a stack, only to find yourself quickly drowning in a sea of jargon?
We know how that feels, because we’ve been there. The truth is that much knowledge of modern data analytics is locked up in the heads of busy practitioners. Very little of it is laid out in a self-contained format.
In this short book, we will give you a practical, high-level understanding of a modern analytics system. We will show you what the components of most modern data stacks are, and how best to put everything together.
This book is suitable for technical team members who are looking into setting up an analytics stack for their company for the very first time.
I love that you went into more detail in the later chapters around modeling, transformations, and providing real-world case studies like the Snowplow case which I'd love to hear more about!
Business Intelligence Specialist, Inhaus Digital
[...] the book is great and is exactly what someone in my position needs, especially the part about the EL tools, the data modeling layer, and the relationship between the CEO and the Data Analyst.
Head of BI & Data, Unissu
I thought ELT was just another cool kids’ jargon [...] Chapter 2 slapped me hard in the face telling me that I was concluding too soon and I know nothing about it.
Data Engineer, Vidio
I love the bits of personality woven in [...] It's definitely getting me excited for my analytics degree and really looking to be versed on the technicalities.
Director of Growth, Airalo
A simple setup for people just starting out
A modern analytics stack
Our biases of a good analytics stack
Consolidating data from sources systems
Understanding the data warehouse
ELT vs ETL: what's the big deal?
Transforming Data in the ELT paradigm
Data modeling layer and concepts
Kimball's Dimensional Data Modeling
Modeling Example: A Real-world Use Case
Data Servicing — A Tale of Three Jobs
Navigating The Business Intelligence Tool Space
The Arc of Adoption
We've been making data analytics tools for over four years, and helped more than a hundred companies build their business intelligence capabilities, sometimes from scratch.