The need to make connections between data sources, and the difficulty of making them, are increasing. Old ways never worked very well in traditional RDBMS environments, and they don’t work with modern data. Zoomdata offers new ways to make connections between a wide variety of data, including data that is too big to move and streaming too fast to settle on a static snapshot. That’s why we’re so excited about our latest release, version 3.7.
The most significant 3.7 enhancements relate to our multisource analysis capabilities: keysets and cross-source filtering. Combined, these new features allow business users to easily analyze data across systems that are physically separate, but conceptually related. In addition, we added enhancements that improve data exploration and ease of use. We’re also introducing a brand-new Zoomdata Service Monitor with support for Zipkin tracing. With it you’ll be able to monitor and troubleshoot Zoomdata microservices from one graphical and unified console.
In this blog post, we’ll present some of the highlights of version 3.7, which is Zoomdata’s newest Long Term Supported (LTS) release.
Multisource Analysis — Keyset Analytics
Zoomdata introduced keysets in Version 2.6 as an experimental feature and are now ready for prime time. Keysets simplify multipass and set analysis so business users can perform this type of complex analysis on their own. You can now use the results of your analysis to create a collection (or set) of unique values (keys) for use in segmentation, cohort, top/bottom-n, cluster, and similar set analyses. With keysets you can:
- Apply a keyset filter on the same data that was used to create the keyset (multipass) or a different data source (multisource)
- Use keysets to observe changes in behavior over time
- Compare and contrast the behavior/data characteristics of one keyset with one or more keysets
- Export raw data for external use, e.g. for data mining/machine learning