Chapter 1: The Story of Data Engineering and Analytics
Every byte of data has a story to tell. The real question is whether the story is being narrated accurately, securely, and efficiently. In the modern world, data makes a journey of its own—from the point it gets created to the point a user consumes it for their analytical requirements.
But what makes the journey of data today so special and different compared to before? After all, Extract, Transform, Load (ETL) is not something that recently got invented. In fact, I remember collecting and transforming data since the time I joined the world of information technology (IT) just over 25 years ago.
In this chapter, we will discuss some reasons why an effective data engineering practice has a profound impact on data analytics.
In this chapter, we will cover the following topics:
- The journey of data
- Exploring the evolution of data analytics
- The monetary power of data
Remember:
the road to effective data analytics leads through effective data engineering.
