November 2017
Beginner to intermediate
204 pages
5h 23m
English
Content preview from Practical Data Wrangling
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Understanding databases
In addition to using plenty of memory, large amounts of data can also take a long time to process. In some cases, it may make sense to process a large dataset from one input file to another output file. Data wrangling, however, is often an iterative process, involving back and forth between data analysis and modification. It can be hard to iterate with a large dataset using a Python script. This is where database management systems can be helpful.
A database simply refers to an organized collection of data. In contrast to files, databases are typically organized structurally to index each of the documents (another word for data entry) making it faster to retrieve specific documents or groups of documents. A database ...
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