NoSQL! Big Data! Web-scale! Sharding! Eventual consistency! ACID! CAP theorem! Cloud services! MapReduce! Real-time! (Location 37)
Note: Buzzword bingo
We call an application data-intensive if data is its primary challenge — the quantity of data, the complexity of data, or the speed at which it is changing — as opposed to compute-intensive, where CPU cycles are the bottleneck. (Location 48)
free and open source software (FOSS), (Location 97)
Store data so that they, or another application, can find it again later (databases) Remember the result of an expensive operation, to speed up reads (caches) Allow users to search data by keyword or filter it in various ways (search indexes) Send a message to another process, to be handled asynchronously (stream processing) Periodically crunch a large amount of accumulated data (batch processing) (Location 183)
