Arun Ramachandran is an accidental entrepreneur who obtained an undergraduate engineering degree from India and a master’s degree in computer engineering in the US. In 2000, he co-founded Comstock Systems which worked in the area of file systems and IT operation analysis and was acquired by Hitachi in 2003. In 2006, Arun co-founded Cumulus Systems which developed real time storage operational analytics software, the company was acquired by Hitachi in 2012. He is one of the co founders of Bolt Analytics. Bolt Analytics focuses on real time streaming analytics that enhances traditional ETL with intelligence.
Arun Ramachandran is speaking at the following session/s
Enhancing Fusion with Multi-Model, Real Time Streaming Analytics
Real-time analytics and prediction transform an ocean of data into actionable information and organizational wisdom. Bolt Analytics is a special-purpose, distributed data-flow execution framework that enables real-time analytics from multiple data sources. Creating inherently scalable and customizable data transformation pipelines by converting streaming data into a time-series representation is the core of Bolt’s framework. Bolt’s parametrized AI-driven models automatically detect and forecast anomaly occurrences in real time, and store them in Fusion, displaying results using faceted search. Bolt Analytics’ time-series models uniquely combine statistical and variable autoencoder neural models eliminating typical limitations of statistical techniques (time-series drift). The underlying distributed processing pipeline architecture can process up to 10 TB of data per day using a clustered Fusion system in production environments.
This will help the customer leverage within their team how to first open a support ticket, and how to determine what is an escalation, and finally how to accomplish providing the information to be assessed quickly.
The Lucidworks Fusion customers and partners responsible for submitting Support Tickets.