Appendix A. Additional Resources
Many of the following resources were mentioned in the text; others provide additional options for digging deeper into the topics discussed in this book.
Log-synth Open Source Software
Log-synth is open source software that gives you a simple way to generate synthetic data shaped to the needs of your project. It can generate a wide variety of kinds of data and it’s fast and very flexible.
Please note that not only is log-synth open source, but it is open community as well—contributions are very welcome.
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Log-synth on Github: Site includes software with various prepackaged samplers, extensions related to the fraud detection use case, and documentation. http://bit.ly/tdunning-log-synth
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Sample code for this book on Github: Sharing Data Safely: Managing Big Data Security, Chapters 5 and 6. http://bit.ly/log-synth-share-data
Site includes the source code for the example from Chapter 5 about building sample relational data. Also included is source code that shows how to generate and analyze data for the single point of compromise fraud model described in Chapter 6.
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“Realistic Fake Data” whiteboard walkthrough video by Ted Dunning: https://www.mapr.com/log-synth
Apache Drill and Drill SQL Views
Apache Drill is an open source, open community Apache project that provides a highly scalable, highly flexible SQL query engine for data stored in Apache Hadoop distributions, MongoDB, Apache HBase, MapR-DB, and more.
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