Summary
In this chapter, we focused on the essentials of building out the Bronze data layer within the Databricks Data Intelligence Platform. We emphasized the importance of schema evolution, DLT, and the conversion of data into the Delta format and applied these principles in our example projects. This chapter highlighted the significance of tools such as Auto Loader and DLT in this process. Auto Loader, with its proficiency in handling file tracking and automating schema management, alongside DLT’s robust capabilities in pipeline development and data quality assurance, are pivotal in our data management strategy. These tools facilitate an efficient and streamlined approach to data pipeline management, enabling us as data scientists to focus more on valuable tasks, such as feature engineering and experimentation.
With our Bronze layer created, we now move on from this foundational work to a more advanced layer of data – the Silver layer. Chapter 4, Transformations...
