Summary
In this chapter, we explored various architectural patterns and techniques for data transformation and cleansing. We understood the Lambda, Kappa, and Microservice architectures, highlighting their strengths and use cases. We also delved into data cleansing and normalization, discussing techniques such as data masking, de-duplication, enrichment, validation, and standardization. Finally, we provided a comprehensive summary of this chapter’s key concepts and concluded with an overview of the topics covered.
Moving on to the next chapter, the focus shifts to exposing and accessing data through different technologies and APIs.
