CHAPTER 5
Big Data Access Patterns
Traditionally, data was in text format and generally accessed using JDBC adapters from an RDBMS. Unstructured data like documents were accessed from document management systems (DMS) using simple HTTP calls. For performance, improvement concepts like caching were implemented. In the big data world, because the volume of data is too huge (terabytes and upwards), traditional methods can take too long to fetch data. This chapter discusses various patterns that can be used to access data efficiently, improve performance, reduce the development lifecycle, and ensure low-maintenance post-production.
Problem
What ...
Get Big Data Application Architecture Q&A: A Problem - Solution Approach 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.