SmartData Fabric™ distributed data virtualization, federation, integration, analytics and security platform
Unique index-based data virtualization,
federation and integration
ADDRESS DATA QUALITY AND OTHER FUNDAMENTALS
UPFRONT IN NEAR REAL-TIME
Indexes are built and maintained in near real-time using metadata and transforms developed from data discovery, including classification, security, quality, standardization, connections/links and master data management.
Unify access to all data
BUT LEAVE IT SECURELY IN SOURCES
Almost any and all data source types, formats and locations, such as mainframes, databases, files, logs, office docs, applications, email, Web, social media, Big Data, streaming, Cloud and IoT.
Complement and leverage existing
STANDARDS-BASED PLATFORM WITH OPEN APIS, DATA SERVICES AND MULTIPLE POINTS OF APPLICATION INTEGRATION
Seamless incorporation of data fundamentals with data access, including master data management and link analysis/graph database –not separate systems, but still support standard drivers, SQL and other query languages.
Add value through indexes and
FOR AGGREGATIONS, CALCULATIONS, JOINS, EVENT PROCESSING, LINK ANALYSIS, SEARCH AND MORE
Regardless of index type or location, all indexes are 100% contiguous and resolve to the same unique pointers to data in sources.
High performance distributed
BUT ALMOST NO LOAD ON DATA SOURCES
All indexing and most query processing load absorbed by independent data source system adapters, using the 3 Bs of computing – binary index trees, and Boolean operations on virtual and physical bitmaps.
Enable true interoperability
WITH WRITE-BACK TO DATA SOURCES – ALMOST ANY APPLICATION WORKING WITH ALMOST ANY DATA SOURCE(S)
Obtain single patient/customer views of all data, regardless of where it is, and use to support applications, write back to data sources and update master data.
Bridge the gap from operations to analytics
ENABLE ADVANCED ANALYTICS AND PROVISION HIGHLY CURATED DATA TO BIG DATA/ANALYTICS
Eliminate up to 80% of data scientists/analysts time by addressing data fundamentals upfront, tending towards streaming analytics and real-time feedback to operational/transactional systems.