Discover the ETL process with Qgbs. Learn how to extract, transform, and load data efficiently. Boost your data management skills with our in-depth guide.
At Qubole, we are developing the next-generation cloud data platform for analyzing and processing data sets. Having conceived and built the "big data" platform at Facebook, we are bringing our learnings from that experience to provide similar infrastructure and tools on the cloud. Our service is targeted towards data analysts, data scientists and ETL engineers. We are looking for more companies to join our Early Access Program.
Spatial Data Integrator is the first Open Source ETL (Extract, Transform, Load) solution specialized in the manipulation of geographical information and supported by an editor.
What they’ve learned is that for every new ETL script, there are probably 20 other systems that have to custom developed their own data retrieval code and never documented it.
Open source is ready for EDW. Because open source is designed to be modular, an enterprise can start with one piece - say ETL or reporting - and can add on as needed. For comparable power and features an open source solution in this arena can cost 10 to 20 times less than a proprietary product. Whether large or small, companies today are being asked to do more with less. With open source, you can have an EDW without compromise.
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A. Karakasidis, P. Vassiliadis, and E. Pitoura. Proceedings of the 2nd International Workshop on Information Quality in Information Systems, page 28--39. ACM New York, NY, USA, (2005)