PhillyDB: Geo-spatial Queries with StormDB/Introduction to Apache Drill

Submitted by admin on Sun, 09/09/2012 - 14:35


Our September meetup will feature two presentations.

First up is Jim Mlodgenski from StormDB:

Geo-spatial Queries with StormDB

With the global explosion of mobile devices, location aware applications are now commonplace, but their potential has been limited the ability to quickly process Geo-spatial data. StormDB is a database service built on the open source project Postgres-XC. The Postgres-XC is a horizontally scalable clustering technology base PostgreSQL allowing for read and write scalability while being transparent to your application. Data is automatically sharded across a number of different data nodes while still maintaining full ACID compliance and consistency.

Learn how StormDB can provide the ability to:

- Process large amounts of Geo-spatial quickly
- Horizontally scale data without giving up consistency or availability
- Create a production ready database in the Cloud
- Free developers and administrators from worrying about the data layer

Jim Mlodgenski is CEO and Co-Founder at StormDB. He is a technology leader with extensive experience in developing enterprise class technology solutions utilizing open source software. In addition to his role at StormDB, Jim is also an avid advocate of PostgreSQL as one of the organizers of the New York City and Philly PostgreSQL User Groups. Prior to StormDB, Jim was Founder of Cirrus Technologies, a professional services company focused on helping move database centric applications to the Cloud. Before that, Jim was Chief Architect at EnterpriseDB.

Our second presentation features Bradley Anderson from MapR:

An Introduction to Apache Drill

Drill is a distributed system for interactive analysis of large-scale datasets. Drill is similar to Google's Dremel, with the additional flexibility needed to support a broader range of query languages, data formats and data sources. It is designed to efficiently process nested data. It is a design goal to scale to 10,000 servers or more and to be able to process petabyes of data and trillions of records in seconds.

Register at the PhillyDB site