SOLUTIONS

A comprehensive distributed data virtualization, federation, integration, analytics and security platform for more customer/patient-centric solutions

Organizations are receiving an increasingly high VOLUME of data from an increasing number of sources at high VELOCITY in a wide VARIETY of formats, i.e., the three Vs of Big Data, and they recognize that this data is a prime asset that they need to leverage to improve their business. The other two Vs of Big Data of VERACITY/governance and VALUE continue to elude organizations, particularly in context with the other three Vs of Big Data.  Organizations are under pressure to reduce cost, increase revenue, meet regulatory requirements and industry guidelines, and prevent data loss—all while learning more about their customers/patients and improving the customer/patient experience. WhamTech SmartData Fabric™ is a unique option to support an organization's plans and enables the most effective, high quality data solutions compared to conventional centralized data management and integration approaches.

Enables more highly advanced capabilities than conventional data federation and integration technologies:

Address data management fundamentals upfront (discovery, profiling, classification, semantic mapping, security, quality, master data management/master patient index and link mapping/relationships capture for link analysis/graph database). Enable single customer/patient views of all operational/transactional data, pre-aggregations, pre-calculations and pre-joins, high performance parallel distributed processing, event processing, event correlation,and supporting almost any and all applications through standard drivers, APIs, Web/data services, etc., and query languages (SQL, PL SQL and others).

Please see WhamTech SmartData Fabric™ Solutions in detail below. 

SmartData Fabric™:  unleash the value of data.

To view our solutions as a PDF, please click here.

Please see the pages below for more information:

SmartData Fabric™ Solutions Diagram

 

WhamTech SmartData Fabric™ Solutions

Key Features:

(KF01) discovery of networks assets and devices, processes, apps, users, data sources and data
(KF02) EIQ TurboAdapter(s)
(KF03) data profiling
(KF04) distributed metadata repository
(KF05) data security and classification

Key Features:

(KF06) Changed data capture (CDC)
(KF07) parser/tokenizer
(KF08) data quality
(KF09) data masking, tokenization and encryption (format-preserving)
(KF10) entity extraction (open source)
(KF11) other text analytics
(KF12) indexes
(KF13) indexed views

Key Features:

(KF14) EIQ SuperAdapters and EIQ Federation Server(s)
(KF15) mapping to a standard data view(s)

Key Features:

(KF20) Unique (different from KF19) logon and password and/or encryption/biometric key (assumes patient could be unconscious)

Key Features:

(KF21) Application query transform and inverse results data transform back to application (N/A yet)
(KF22) write back to data sources

Key Features:

(KF23) Catalog of available micro-services

Key Features:

(KF24) Potential write-back to data sources

Key Features:

(KF25) Monitoring and rules-based event processing – currently through stored procedures

Key Features:

(KF27) Near real-time updateable hierarchical and other indexed views
(KF28) virtual data mart query construction

Key Features:

Combined (KF25) Monitoring and rules-based event processing – currently through stored procedures and (KF27) Near real-time updateable hierarchical and other indexed views

Key Features:

Use KF15 to create a new relational, NoSQL/flat, ontological schema or more than one simultaneously

Key Features:

(KF29) Extend existing data warehouse schema – possible to federate from within data warehouse

Key Features:

(KF30) Streaming or incremental results data flow, and (KF31) tag and export data in specified formats, e.g., XML, JSON and delimited and/or write directly to data source

Key Features:

(KF32) Attribute-level role-based access control (WhamTech or third-party)
(KF33) user authentication (third-party)
(KF34) encryption (third-party)