What this book is all about
Before we wrap up this prologue and dive into more details in subsequent chapters, I want to lay the foundation for what you should expect from this book and how the content is laid out.
When you think of a data platform in an organization, it contains a lot of systems that work in tandem to make the platform operational. A data platform contains different types of purpose-built data stores, different types of ETL tools and pipelines for data movement between the data stores, different types of systems that allow end users to consume the data, and different types of security and governance mechanisms in place to keep the platform protected and safe.
To allow the data platform to cater to different types of use cases, it needs to be designed and architected in the best possible manner. With exponential data growth and the need to solve new business use cases, these architectural patterns need to constantly evolve, not just for current needs but also...
