Chetu Implements an Apache Spark Process in Java for Data-Driven Video Conversion App

Data Management Platform

One objective was to create an Apache Spark process in Java that converted raw data from Cleeng into a customized data warehouse table. Chetu’s engineers were first required to analyze the frameworks used in the app to write the code using Java and Spark to read the CVS files, thus perform different transformations.

The next mission was to develop three additional Apache Spark processes in Java that converted analytics data from several KPI’s including, monthly recurring revenues, average revenue per user, and customer lifetime value. To control the execution dates of processes that originally ran Chetu’s developers had to use an external PostgreSQL database.

We provide business intelligence (BI) data warehouse services, including the engineering of central repositories, to extract, transform, and load data from disparate platforms and applications. Chetu’s developers can seamlessly construct multiple nodes for data aggregation, securing the data clusters safely in the cloud or on-premises databases for data mining, filtering, and cleansing.

Data Analytics Software

After the solution was deployed, JUMP saw many benefits including, customer retention and accurate data analytics. While in production, JUMP appreciated Chetu’s comfortability with the workflow and the ability to stay up-to-speed on development. We build custom BI solutions for desktops, mobile devices, and browser apps, complete with personalized and customizable business intelligence dashboards that offer real-time visibility on KPIs.

Chetu develops world-class video production software with robust features to cater to the media and entertainment industry. We also provide customized, robust solutions for video asset management systems that store all file types in an organized and manageable way.