Cask Blog

Gokul Gunaskeran is a software engineer at Cask where he is building software to enable the next generation of data applications. Prior to Cask, he worked on Architecture Performance and Workload Analysis at Oracle.


AeroCask – Real-time Flight Data Analytics using CDAP

One of the many things that I love about Cask are the hackathons before every release. It is not only a way for us to dog-food new features in the CDAP platform but it is also an opportunity to let your imagination run loose and implement an integration with another system; or develop an interesting … Read more



Introducing Tigon: Real-time streaming for the real world

In collaboration with AT&T Labs, today we are releasing version 0.2.0 of the open source Tigon project, a real-time streaming analytics framework for Hadoop based on technology contributed by both companies. By combining AT&T’s low-latency and declarative language support with our durable, high-throughput computing capabilities and procedural language support, Tigon provides developers with a new … Read more


The Shift to Realtime Processing: An Easier Way to Build Hadoop Apps

I was inspired by the recent Google I/O talk on Cloud Dataflow, a data processing service used internally at Google, which evolved from a model based on MapReduce and successor stream processing technologies such as MillWheel and FlumeJava. Based on the premise of focusing on your application logic rather than the underlying infrastructure, I set … Read more