Panos Labropoulos' presentation will focus on "Distributed Data Processing Using Spark in Radio Astronomy", addressing the issue that a new generation of radio interferometric arrays will enable scientists to observe the Universe with unprecedented imaging capabilities, both in terms of sensitivity and resolution. Panos Labropoulos will discuss the fact that imaging software is one of the important aspects for processing the high-volume data streams and is one of the best places to use Spark.
Panos Labropoulos' session will take place on October 29, 11:35 12:05, in Room 3.
The presentation from Bright Computing continues the company's momentum in the Spark community, having announced fully integrated support for Apache Spark in June 2015. The newest version of Bright Cluster Manager for Apache Hadoop bundles, installs, monitors, and manages Apache Spark, which means that nothing else is needed to deploy, use and maintain the Spark engine for large-scale data processing.
For a full presentation synopsis you can visit the Spark Summit website.
Bright Computing has also issued a series of short videos, to explain its Apache Spark offering. You can access them at YouTube .