Managing and analyzing time series data using Warp 10
Warp 10 is an Open Source solution for managing and analyzing time series data in multiple environments. Warp 10 offers an ingestion and storage layer based on LevelDB or HBase, and a data manipulation environment built around a custom language called WarpScript designed from the ground up for time series data analysis. WarpScript can be leveraged on data residing in Warp 10 or any other other datasource. WarpScript can also be used on massive datasets via its integration in Pig, Spark and Flink or on real time data streams through its bindings for Storm or Flink. This session will give a grand tour of Warp 10, covering its datamodel, architecture and APIs and giving attendees an overview of what WarpScript can be used for in interactive, batch and streaming mode.
CTO, Cityzen Data
Mathias is co-founder and CTO of Cityzen Data, he leads the development of the sensor data management platform. Prior to Cityzen Data, Mathias lead the Big Data initiative in a french bank, role for which he received the Big Data innovation award in 2013. M. Herberts also worked at Google in a team responsible for managing the company wide Big Table storage systems. Mathias holds an engineering degree in Telecommunications and Computer Science from Telecom Bretagne.