The move over recent years has been towards increasingly distributed processing of data, both in terms of the underlying model and in terms of the processing architectures available. More and more of this data is also streaming and SQLstream is focused on effective access to streaming big data …

Read the full article on Decision Management Solutions: http://jtonedm.com/2012/12/03/first-look-sqlstream/

Attendance at the PostgreSQL West 2010 Conference was encouraging considering a million people had gathered in the city to celebrate the World Series victory of the San Francisco Giants.

I’ve posted the presentation from the event (previously blogged about here).

We presented the concepts of Streaming GIS, integrating SQLsteam’s real-time streaming data analytics with the PostgreSQL-based Geographic Information Systems (GIS) engine PostGIS. With examples from SQLstream’s commercial traffic congestion monitoring application, we discussed how sophisticated high performance real-time geospatial applications can be delivered quickly and easily using standards-based SQL.

Streaming GIS using PostGIS and SQLstream at PostgreSQL West 2010

SQLstream’s founding engineer Sunil Mujumdar is set to present at PostgreSQL Conference: West 2010.

In a talk entitled ‘Streaming GIS using PostGIS and SQLstream’, Sunil will describe the SQLstream stream computing platform based on industry-standard SQL, and its integration with the PostgreSQL-based Geographic Information Systems (GIS) engine PostGIS.

Wireless sensors and internet services are generating data faster than conventional database technologies can process that data. In particular, mobile resource management requires the stream processing of high volume, location-based data. Solutions require new methods such as Streaming SQL to address these new sources of big data, in real-time. We’ll be discussing key concepts in stream computing, data warehouse feeds and the integration of PostGIS into a high performance streaming environment.

Using mobile resource management as a case study, we will illustrate with examples from SQLstream’s commercial traffic monitoring application.