Summary

In this chapter, we delved into the world of batch data processing, underscoring the importance of efficiently managing and processing large volumes of data, a fundamental skill for data engineers.

You’ve learned the importance of comprehending the specific use case and data requirements before embarking on a data engineering project. Clarity in your objectives was emphasized as a foundational step. You’ve also had experience of hands-on techniques to efficiently collect and ingest data in batch mode. Data transformation techniques, including data cleaning, structuring, and quality checking, have been explored in detail. The significance of ensuring data quality for reliable processing has been highlighted. You’ve also gained an understanding of the final stage of the batch pipeline, where processed data is loaded into a serving layer, often referred to as the Gold layer. This layer is reserved for refined, business-ready data used in analysis and decision...