Lots of people talk about the exponential growth of data and how soon, we're going to have more data than we know what to do with. However, not as many people are talking about the database aspect to this — but they should be! As data grows, databases need to be able to keep up. That's why it's becoming increasingly important to not only understand how to analyze the growing amounts of data but also how to have databases that can handle it. That's why the DZone Editorial Team as aggregate a list of 51 database terms that you need to know if you're going to keep afloat with this overflow of data. (By the way, if you're interested in this, you might also be interested in our big data glossary!)
AACID (Atomicity, Consistency, Isolation, Durability): A term that refers to the model properties of database transactions, traditionally used for SQL databases.
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