CHAPTER 12
Databases and Data Processing
12.2 Database Programming in Python
12.3 Functional Language Approach
Solutions to Practice Problems
IN THIS CHAPTER, we introduce several approaches to handle the vast amounts of data that are created, stored, accessed, and processed in today's computing applications.
We start by introducing relational databases and the language used to access them, SQL. Unlike many of the programs we have developed so far in this book, real-world application programs usually make heavy use of databases to store and access data. This is because databases store data in a way that enables easy and efficient access to the data. For this reason, it is important to develop an early appreciation of the benefits of databases and how to make effective use of them.
The amount of data generated by web crawlers, scientific experiments, or the stock markets is so vast that no single computer can process it effectively. Instead, a joint effort by multiple compute nodes—whether computers, processors, or cores—is necessary. We introduce an approach to develop parallel programs that make effective use of the multiple cores of a modern microprocessor. We then use this to develop the MapReduce framework, an approach for processing data developed by Google that can scale from a few cores on a personal computer to hundreds of thousands of cores in a server farm.
12.1 Databases and SQL
Data that ...
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