Data touches everything. Understanding it all is the biggest problem out there to solve. Data crosses all industries, all parts of a business and all that makes up life. The future web is about finding answers, discoveries, stitching together sources, busting data silos to release the next level of collective wisdom for society. This talk …
Stado provides a powerful and flexible analytical environment allowing users to process large amounts of data using a shared-nothing, massively parallel processing (MPP) architecture with PostgreSQL and PostGIS. Data is automatically partitioned across multiple nodes and each node processes its subset of data allowing queries to be distributed across the cluster and run in parallel.
A presentation of the various data and querying models available in today’s distributed data stores landscape. This session reviews what models and APIs are available and discusses the capabilities each of them provides, the applicable use cases and what it means for your application’s performance and scalability.