Chapter 13. Secure Data
Throughout this book, we have visited many areas of data science, often straying into those that are not traditionally associated with a data scientist's core working knowledge. In particular, we dedicated an entire chapter, Chapter 2, Data Acquisition, to data ingestion, which explains how to solve an issue that is always present, but rarely acknowledged or addressed adequately. In this chapter, we will visit another of those often overlooked fields, secure data. More specifically, how to protect your data and analytic results at all stages of the data life cycle. This ranges from ingestion, right through to presentation, at all times considering the important architectural and scalability requirements that naturally form ...
Get Mastering Spark for Data Science now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
