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[http://hadoop.apache.org/ Apache Hadoop] is widely used by Yahoo!, Google, and many others to process massive amounts of data quickly. OCLC Research uses a 40-node compute cluster with Hadoop and HBase to process the 300 million MARC records of WorldCat in various ways. This presentation will explain how Hadoop MapReduce works and illustrate it with specific examples and code. The role of the jobtracker in both monitoring and reporting on processes will be explained. String searching WorldCat will also be demonstrated live.
== Quick and Easy Data Visualization with Google Visualization API and Google Chart Libraries ==
[http://bohyunkim.net/blog Bohyun Kim], Florida International University, bohyun.kim@fiu.edu
* 'No' previous Code4Lib presentations
Do most of the data that your library collects stay in spreadsheets or are published as a static table with a series of boring numbers? Do your library stakeholders spend more time collecting the data than using it as a decision-making tool because the data is presented in a way that makes it hard for them to quickly grasp its significance? [1]
This talk will provide an overview of Google Visualization API [2] and Google Chart Libraries [3] to get you started on the way to quickly query and visualize your library data from remote data sources (e.g. a Google Spreadsheet or your own database) with (or without) cool-looking user-controls, animation effects, and even a dashboard.
[1] https://developers.google.com/chart/interactive/docs/gallery
[2] https://developers.google.com/chart/interactive/docs/reference
[3] https://developers.google.com/chart/
[[:Category:Code4Lib2014]]
