Automated Data Discovery

Using an open source tool, OpenAudIT, WhamTech automatically discovers devices, computers and servers on a network, associated data sources associated, connects to data source and “raw” indexes data on sources, and using these “raw” indexes, profiles, identifies, secures and maps data to a standard data view. Future options will automatically cleanse, transform and standardize “raw” data to initially build indexes for subsequent application query processing.

Data federation

A form of data virtualization where the data stored in a heterogeneous set of autonomous data stores is made accessible to data consumers as one integrated data store by using on-demand data integration see (

Data integration

The process of combining data from a heterogeneous set of data stores to create one unified view of all that data (see

Data virtualization

The process of offering data consumers a data access interface that hides the technical aspects of stored data, such as location, storage structure, API, access language, and storage technology (see

Distributed Data Virtualization Platform (DDVP)

Many data federation, integration and virtualization solutions are centralized where most processing occurs. DDVP attempts to differentiate in that most processing occurs on the edge, close to data sources. In most cases, only results are consolidated in a central location. Also see SmartData Fabric™


External Index and Query, used to describe the various EIQ Products™ offered by WhamTech that make up the majority of the SmartData Fabric™


Extract, Transform and Load process and software for copying, cleaning, transforming, standardizing and loading/storing data in a database, usually a data warehouse.

Event Processing

The capture, enrichment, formatting and emission of events, the subsequent routing and any further processing of emitted events (sometimes in combination with other events), and the consumption of the processed events.


An index is a data structure defined on columns in a database table to significantly speed up data retrieval operations. WhamTech uses balanced binary trees as indexes, with Boolean operations on virtual and physical bitmaps to execute queries. This low-level approach provides high performance and scalability to indexing and query processing. WhamTech also offers a wide range of indexes and indexed views to significantly improve and extend queries on data source systems – all without loading up source systems.


The ability of computer systems or software to exchange and make use of information.

Internet of Things (IoT)

Refers to the ever-growing network of physical objects that feature an IP address for internet connectivity, and the communication that occurs between these objects and other Internet-enabled devices and systems.

Link Indexes™

Link Indexes™ are an add-on option for EIQ Adapters™. Link Indexes™ in combination with normal content indexes enable accelerated database joins, link mapping, degrees of separation queries, link analysis, virtual CDI-MDM, and physical data, logical and ontology model discovery, among other capabilities.

Logical Data Warehouse (LDW)

A data warehouse that virtually adds new data sources to an existing/physical data warehouse. This is different from a Virtual Data Warehouse, where there is no existing/physical data warehouse.

Master Data Management (MDM)

A comprehensive method of enabling an enterprise to link all of its critical data to one file, called a master file, that provides a common point of reference.

Revenue Cycle Management

All administrative and clinical functions that contribute to the capture, management, and collection of patient service revenue.


Read, Transform and Index process and software for reading, cleaning, transforming, standardizing and indexing data in WhamTech EIQ indexes – data not stored/discarded.

Single Patient View

Refers to the ability to consolidate all patient information into one single view

SmartData Fabric™ (SDF)

A synergistic combination of EIQ adapters, federation servers and other software tools that are WhamTech-owned or third-party. Together these components comprise a software “fabric” that is designed and built to plug-and-play in existing IT architectures, and complement and leverage existing IT systems, tools and applications. SDF assumes a very data-centric approach, plugs gaps and enhances and enables many applications from basic operations to advanced analytics – discovery to insight (d2i).

SmartData Fabric™ MAT

WhamTech’s merger and acquisition tool (MAT) uses SmartData Fabric™ to run across fragmented and often siloed data sources—and successfully integrate multiple systems without copying or moving any of the original source data.

Virtual Data Warehouse (VDW)

A virtual data warehouse combines access to multiple sources to create a single view of data, usually with data quality and master data management addressed. This is different from a Logical Data Warehouse, where an existing/physical data warehouse is extended.

Virtual Master Entity Index (VMEI)

An interactive, highly intuitive visualization index of quality Business Intelligence (BI) and advanced analytics of all persons, organizations, devices, etc. associated with a healthcare system (data and content).

WhamEE™ Entity Extraction

Entity extraction from all data sources (add-on). Including unstructured, structured and semi-structured data sources. Requires open-source text analytics software GATE.

WhamSearch™ Text Indexes

Searches for data, metadata and text in databases, files, email, Web documents, blogs, social media, etc. (add-on). Content and context-directed Intelligent Spider™. Used as an add-on for other EIQ products for structured, unstructured and semi-structured data search.



SmartData Fabric™:  unleash the value of data.

For more related information, please visit the pages listed below.