Psydex - Technology - AG (Analytics Grid)


	TECHNOLOGY • AG (Analytics Grid) • AIM Indexes • Massive Parallel Processing • Universal Modeling • Predictive Analytics • PEP (Event Processor) • Partner Integration • Sources • Query Language • AG APIs BIG DATA - BIG THINKING The World will produce a ZetaByte of new data this year with 80% in the form of UnStructured emails, documents, text messages and social media conversations. Traditional approaches to analyzing and processing data do not work for the Real Time World. White Papers

AG (Analytics Grid)

Psydex was designed from the bottom up as a massively scalable system supporting real time search, data mining and predictive analytics across high volume, velocity and variety data.

Psydex Text Analytics Grid Decision Support

AIM (All-In-Memory) Indexes
Indexes reside All-In-Memory and are partitioned by Source and Time in sequences of Index Instances spread across nodes on the Grid. Indexes are constructed internally as a graph around n dimensions of words, attributes, values and organized around TIME to generate Time Series from ad Hoc requests.

Massive Parallel Processing
Psydex is designed around a shared-nothing, MPP architecture and easily scales using commodity hardware. Performance is measured in milliseconds, even as terabytes of indexes and additional hardware nodes are brought online.

Dynamic Modeling
Psydex was uniquely designed to allow models to evolve indepedent of indexes. Semantic Topic Models use word expressions and logical operators to define People, Companies, Events etc... and Data Topic Models define attributes, dimensions and aggregate functions for structured data.

Structured and Unstructured
Psydex Analytics Grid provides a unified, real time view across both structured and unstructured data. Source Handlers for many interfaces, including but not limited to JDBC, Reuters Data Feed (RDF), HTTP/S, NNTP, FTP, and ICE Impact Data Feed. Parsers for many formats and encodings, including but not limited to HTML, RSS, NewsML, NITF, XML, ICE Impact Data Format, and Reuters Open Message Model (OMM). A framework for writing custom handlers and parsers is available.