7
Data Sinks
In the world of modern data processing, crucial decisions about data management, storage, and processing will determine successful outcomes. In this chapter, we will deep dive into three important pillars that underpin effective data processing pipelines: selecting the right data sink, choosing the optimal file type, and mastering partitioning strategies. By discussing these critical elements and their real-world applications, this chapter will equip you with the insights and strategies needed to architect data solutions that optimize efficiency, scalability, and performance within the complicated landscape of data processing technologies.
In this chapter, we will discuss the following topics:
- Choosing the right data sink for your ...
Get Python Data Cleaning and Preparation Best Practices 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.
