Smart Data Fabric Distributed Data Virtualization Federation Integration

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ (SDF) aka Distributed Data Virtualization Platform (DDVP) Basics and Options November 2016 (Best viewed in slideshow mode) Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 1

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ • • • Transparent data management layer that plugs and plays in existing IT architectures Complements and leverages existing IT systems, tools and applications Leaves and guards data in sources ORGANIZATION B CLOUD DATA SOURCE EXTERNAL COMMERCIAL/ PUBLIC DATA SOURCE ORGANIZATION’S OWN REFERENCE SYSTEMS ORGANIZATION A LAB Revision 5. 3 LAB EHR PM LAB EHR ETL Data MDM Governance System Copyright 2016 Wham. Tech, Inc. ORGANIZATION C EHR PM 2

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ Capabilities Summary • • • Access and seamlessly integrate all data, but leave data in sources, from any location Work with almost any and all data source types, formats and locations Use high performance parallel processing, but almost no load on data sources Address fundamentals of data discovery, classification, security, quality, standardization and connections, and master data management Add value through indexed views (pre-aggregations, pre-calculations and pre-joins), event processing, link analysis/graph database, event correlation and anomaly detection Support standard reporting, BI, analytics, BPM, CDI-CRM and other applications Present data as data objects with ontological views, relational views and No. SQL/Big Table views Enable true interoperability with write-back to sources – almost any application working with almost any data source(s) Provision highly curated data to Big Data/analytics in near real-time Bridge the gap between enterprise operational/transactional systems and reporting, BI, analytics and other applications Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 3

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform What does Wham. Tech do? Applications Standard drivers, APIs, Web/data services, SQL and other query languages Virtual data security Virtual event processing Virtual cybersecurity Virtual MDM Virtual reporting, BI and analytics Virtual interactive link analysis and visualization Wham. Tech EIQ Federation Servers Wham. Tech EIQ Adapters (indexed and conventional federated) Independent structured and unstructured Indexes ACCESS SECURITY ADMINISTRATION/ CONFIGURATION Wham. Tech Smart. Data Fabric™ (SDF) Virtual network, data source and advanced data discovery Data Pre-processing (read, but not stored) Data Sources Mainframes Databases Files Logs Office Applications Email docs Web docs Social Big Streaming Cloud Io. T media Data 4 Revision 5. 3 Copyright 2016 Wham. Tech, Inc.

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform SDF is decentralized/distributed and indefinitely scalable Applications Data stays in sources - no copying or moving Data Source Revision 5. 3 Data Source Copyright 2016 Wham. Tech, Inc. 5

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Indexes EIQ Super. Adapter Social Media Feed Indexes EIQ Super. Adapter Hadoop Indexes EIQ Super. Adapter Mainframe ERP System Salesforce Revision 5. 3 EIQ Conventional Adapter EIQ Federation Server FIREWALL RDBMS FIREWALL Example multiple data source SDF configuration EIQ Federation Server TCP / IP Wham. Tech JDBC Driver Application(s) 3 rd Party Adapter Copyright 2016 Wham. Tech, Inc. 6

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Simplified* layer capabilities Standard drivers, APIs, Web/data services, SQL and other query languages Built-in advanced capabilities Built-in support for common applications Link analysis/graph database Visualization Big Data/analytics data provisioning Support for BI/analytics Support for CRM Support for BPM/ decision support Support for interoperability Master data management Event processing Event correlation [Anomaly detection] Standard data view mapping – more than one possible AUTOMATION Post-index, standard data view, multi-record processing RBAC and data loss prevention Indexing – content, security, extracted entities, indexed views, unstructured and Link Indexes™ Pre-index, single record processing Security – classification, data masking, tokenization and encryption Quality – cleansing, transformation and standardization Analytics – parsing, categorization, entity extraction and other analytics Discovery, profiling and correlation – device, source and data *See the Appendix for more detailed layer capabilities Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 7

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Initial SDF adapter configuration, index build and data view mapping Data Discovery and raw indexbased Data Profiling Metadata Discovery and Semantic Mapping Data Classification and Data Security Develop and test Data Transforms using profiles Distributed Metadata Repository, incl. Data Governance Data Source Discovery Network Asset and Device Discovery Automated Data Discovery and Classification (ADDC) thus far Data Source Data Read, Transform/ clean-up (and Index) Twelve ways to build and maintain indexes EIQ Adapter* w/SDV** EIQ Indexes Index schema and names same as data source Indexes do not store data – only queryable representations Alternate use of raw indexes to initially build EIQ Indexes Revision 5. 3 Copyright 2016 Wham. Tech, Inc. Indexes mapped to SDV *EIQ Super. Adapter and EIQ Turbo. Adapter **Standard Data View – future application-to. SDV query translation 8

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform SDF adapter index update, query and results retrieval Distributed Metadata Repository, incl. Data Governance Queries resolved in the EIQ Adapter and EIQ Indexes Result-set pointers to data in source User-level access Data Read, Transform/ clean-up (and Index) Data Source EIQ Indexes Continuous EIQ Indexes updates … Revision 5. 3 EIQ Federation Server Middleware Application(s) Results provided in almost any format Raw results data transformed/cleaned-up from source … … … EIQ Federation EIQ Server Adapter* (subw/SDV** Middleware) middleware) w/SDV Applications / middleware connect with standard drivers or Web Services and SQL*** Multiple other data sources *EIQ Super. Adapter and EIQ Turbo. Adapter **Standard Data View – future application-to. SDM query translation ***Future OQL, SPARQL and No. SQL options … Copyright 2016 Wham. Tech, Inc. 9

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ for data federation/abstraction Discovery Indexing (data discarded) Event correlation Profiling Classification Categorization Security Cleansing Masking Transformation Standardization Tokenization Encryption Standard data view mapping Indexed views BI, analytics, CRM and BPM support Link mapping/ indexing Master Data Management (MDM) Event processing [Anomaly detection] High performance parallel query processing Integration (results read only) Interoperability (results read and write) Link Analysis/Graph Database Wham. Tech key differentiators addressed upfront Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 10

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Enterprise conventional data life-cycle Data copied multiple times Discarded/retained Acted on Analyzed Reported Data Mart (DM)/ Analytics Database/ Link Analysis. Graph Database Revision 5. 3 Related Indexed Stored Created Stored Log/Transaction System Copied Operational Quality/improved Data Store (ODS) Quality/improved Stored Copied Indexed Copied Data Stored Quality/improved Warehouse (ETL and DW) Copyright 2016 Wham. Tech, Inc. 11

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Big Data life-cycle is not much different Data copied multiple times Discarded/retained Acted on Analyzed Reported Big Data/ Analytics Database/ Link Analysis/ Graph Database Revision 5. 3 Related Indexed Created Stored Log/Transaction System Copied x 3 Big Data Quality/improved Lake/Reservoir Quality/improved Stored (similar to ODS) Copied Indexed Copied Big Data Refinery Stored Quality/improved (similar to ETL) Stored Copyright 2016 Wham. Tech, Inc. 12

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Wham. Tech eliminates most conventional data life-cycle stages Discarded/retained Acted on Analyzed Reported Related Indexed Stored Discarded/retained Acted on Analyzed Created Stored Copied Quality/improved Stored Copied Indexed Copied Stored Quality/improved Revision 5. 3 Reported Wham. Tech Smart. Data Fabric™ Quality/improved Indexed Related Master Data Capabilities in the Smart. Data Fabric™ support applications Copyright 2016 Wham. Tech, Inc. 13

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Data provisioning for Big Data and other analytics Discarded/retained Acted on Analyzed Reported Big Data/ Analytics Database/ Link Analysis/ Graph Database Revision 5. 3 Created Stored Indexed Quality/improved Stored Quality/improved Copied Log/Transaction System Indexed Related Master data Wham. Tech Smart. Data Fabric™ Data mapping, quality, security, masking tokenization, encryption and link mapping, and master data, addressed Copyright 2016 Wham. Tech, Inc. 14

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform SDF bridges the gap between the enterprise, and reporting, BI, analytics and other apps Data Mapping Integration (read only) Data Masking, Tokenization and Encryption Data Security Data Aggregation Single Customer View (read only) Interoperability (read and write) Enterprise (operational, transactional, other and external data sources) Revision 5. 3 Group Data Governance Smart. Data Fabric™ Data Links/ Relationships Master Data Provisioning Queries/Results Other Individual Data Quality Predictive rules/interactive CRM and BPM Copyright 2016 Wham. Tech, Inc. Population Reporting, BI, Analytics and other apps Multiple Entity Centricities Local Regional Global 15

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ Basic Solutions Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 16

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ Incremental Solutions Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 17

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ Example Use Cases • VMPI for Huntington – POC, 2 data sources, single patient view, interactive link analysis and visualization and integrated dashboard • Single patient view for NHS Trust in the UK – 3 organizations, 7 on premise and Cloud data sources - Hybrid Cloud, use NHS MPI, FHIR APIs, data services and AWS • Smartphone app support for interactive CRM, BPM workflows, data services and write-back to sources • Message Bank for HL 7 and other messages for large New York healthcare co and other customers – Cassandra data source, real-time, parse and index, VMPI, FHIR APIs, IBM Bluemix and support for reporting, BI and analytics • Single patient view for highly curated data provisioning to Big Data – Ayasdi, patient treatment plan optimization, 80 – 90% data prep eliminated and real-time • Federal Fraud Fusion Center – Unemployment Insurance claims, Medicare, Medicaid, SSA, SARS, NIBRs, etc. , MDM, data stays in sources (fed, state and local) and support SPARK analytics • Selective patient indexing on hosted EHR systems for large healthcare co – solves major network provider issues • Multiple use cases (8+) for Select. Health and Intermountain • Casandra reporting, BI and analytics support for Australia NHS Trust • Bitcoin/Blockchain transaction reporting, BI and analytics – particularly, link analysis and MDM Working with CSC, Intermountain/Select. Health, Northrop Grumman, UHG/NAMM and other large healthcare cos Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 18

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform The End Appendix: Backup material Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 19

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Best of all worlds • Leave data in place (FED*) • Almost any type of data source (DW** and Search) • Data quality, security, master data and link mapping addressed upfront before any access (DW) • Latest data (FED) • Event processing (real-time DW) • Standard drivers, Web services and APIs (All) • SQL, PL/SQL and other query languages with conversion (FED and DW) *FED = Conventional federated data access **DW = Conventional data warehouse Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 20

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric Example Bluemix Deployment • • • Revision 5. 3 Copyright 2016 Wham. Tech, Inc. Multiple access methods Multiple query language options Multiple ways to represent data Standard data view, e. g. , FHIR APIs and NIEM Cloud platform-based data services New BPM workflows running on legacy data sources Write-back to data sources VMPI-governed data access Multiple legacy data sources Data sources could be in multiple organizations Data sources could be on premise and in the Cloud – Hybrid Cloud access 21

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Best of all worlds • Leave data in place (FED*) • Almost any type of data source (DW** and Search) • Data quality, security, master data and link mapping addressed upfront before any access (DW) • Latest data (FED) • Event processing (real-time DW) • Standard drivers, Web services and APIs (All) • SQL, PL/SQL and other query languages with conversion (FED and DW) *FED = Conventional federated data access **DW = Conventional data warehouse Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 22

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Multi-level Value Contribution Reduce costs Increase revenue Increase profit Improve customer experience Upsell and cross-sell customers Gain customers Improve compliance Improve reporting Reduce waste Tend to realtime Reduce liability Convert knowledge to SUCCESS OUTCOMES Visualization Social analytics Link analysis Ontology representation BI/ analytics BPM CRM/ MDM Decision support EHR/ HIE Convert information to KNOWLEDGE Indexed views Advanced text search Entity extraction Entity resolution Link Indexes™/ mapping Realtime alerts CEP Categorization Convert data to value-added INFORMATION Data discovery Data profiling Access almost any data source Integrate multiple data sources Leave data in sources Work with structured and unstructured data Improve data quality Build structured and unstructured indexes Update in near realtime Map to a virtual standard data view Scale with distributed parallel processing Almost no load on data sources Provide basic indexed virtual DATA access, integration, sharing and interoperability Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 23

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ is location agnostic Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 24

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ is configuration agnostic Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 25

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Data-driven bottom-up vs top-down approach For each data source: Application/Middleware External Query in SQL EIQ Super. Adapter™ Wham. Tech’s Standard Drivers/APIs/Web Services Wham. Tech’s Mapping Layer Wham. Tech’s Automatic Query Processor Wham. Tech Content Indexes Wham. Tech Link Indexes™ Data Quality/Parser/Entity Extraction/Other Transaction Log Reader, MQ or similar Revision 5. 3 Data profiling Data Source Driver/API/Web Service Data Source Copyright 2016 Wham. Tech, Inc. 26

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Detailed Smart. Data Fabric™ layer capabilities Real-time Business Intelligence Applications Distributed Analytics Complex Event Processing Enterprise and Web Search Link Analysis e. Discovery Social Network Analysis Living Networks™ CDI-MDM/ Single Entity View Other Applications Standard drivers, APIs, Web/data services, SQL and other query languages EIQ Super. Adapter™ Semantic Mapping to Standard Data View(s) Automatic Query Processing Real-time Monitoring and Event Processing Data Security Layer – Query Side Smart. Data Fabric™ Administration and Configuration Tools Structured Indexes Master Data Indexes Extracted Entity Indexes Text Indexes Fuzzy Match Indexes Preaggregated Indexes Precalculated Indexes Embedded Value Indexes Join Indexes Link Indexes™ Denormalized Indexes Data Security Layer – Data Side Master Data Management Security and Privacy Access Controls Metadata Management and Repository, incl. Data Governance Data Cleansing, Transformation, Standardization, Masking, Tokenization and Encryption Entity Extraction/NLP/Categorization/Other Text Processing Metadata Discovery/Data Profiling Device, Source and Data Discovery Changed Data Capture Intelligent Spider™ Changed Data Capture Data Sources Network Assets and Devices Revision 5. 3 Standard, Proprietary and Web Service Drivers Relational Databases Mainframe data Files Web Services Application Drivers Applications Enterprise documents and email Spidered files from Web and other sources Network Assets and Devices Copyright 2016 Wham. Tech, Inc. 27

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Wham. Tech Smart. Data Fabric™ impact diagram Discovery Intra and Inter. Source Data Correlation Semantic Identification Profiling Index Data Preparation and Results Data Transformation Data Source Unstructured Parser Security Classification Entity Extraction Categorization Security Classification Results Data Pointers Distributed Metadata Repository Distributed Metadata Indexes Device/Host Unstructured Indexes (most data discarded) Revision 5. 3 Link Indexes Structured Indexes (most data discarded) Transform Masking, Tokenization and Encryption Standard Data View Master Data and Indexes Results Data Transform Development and Testing Structured Content Indexes Copyright 2016 Wham. Tech, Inc. Standard Data View (indexes semantically mapped) Link Indexes™ Master Data Indexes Link Analytics and Visualization Results Data 28

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Wham. Tech Smart. Data Fabric™ impact diagram query submission APPLICATION Discovery Index Data Preparation and Results Data Transformation Content Indexes Standard Data View Link Indexes 3 Structured Indexes (most data discarded) Master Data Distributed Metadata Repository Master Data Indexes 1 1 Structured Data 3 Unstructured Distributed Metadata Indexes 3 Revision 5. 3 2 Standard Data View (indexes semantically mapped) Link Indexes™ Results Master Data and Indexes 3 Link Analytics and Visualization Unstructured Indexes (most data discarded) Copyright 2016 Wham. Tech, Inc. 29

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Wham. Tech Smart. Data Fabric™ impact diagram results retrieval APPLICATION Discovery Index Data Preparation and Results Data Transformation 5 Content Indexes Standard Data View Link Indexes Structured Indexes (most data discarded) 6 4 Masking, Tokenization and Encryption Data Unstructured Results Data Pointers Transform Structured 5 Distributed Metadata Repository 4 Distributed Metadata Indexes 7 Link Indexes™ Standard Data View (indexes semantically mapped) 8 Unstructured Indexes (most data discarded) Revision 5. 3 Copyright 2016 Wham. Tech, Inc. Master Data and Indexes Results Master Data 4 Master Data Indexes 9 Link Analytics and Visualization Results Data 30

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Example Analytics. DDVP™ as a product and/or service CUSTOMER Automated Network Asset, Data Source and Data Discovery, Profiling, Transformation and Semantic View Mapping HOSTED Network Asset, Data Source and Distributed Metadata Repository Mainframes Automated EIQ System Configuration Network Traffic Databases Devices Files Office Documents Router Web Pages and Documents Logs Automated EIQ Indexes, Views Build and Maintenance EIQ Adapters™ Big Data Social Media Short-term EIQ Indexes* INTERNAL (PRIVATE), EXTERNAL (PUBLIC) OR BOTH (HYBRID) CLOUD STORAGE Po ss ibl e. M igr ati *Content indexes, indexed views and Link Indexes™ Revision 5. 3 EIQ Federation Server™ Copyright 2016 Wham. Tech, Inc. on Longer-term EIQ Indexes* and key data 31

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ processes (1 of 5) Automate (using BPM) as much as possible: • Deploy on AWS, IBM Bluemix, Open. Stack, VMs, physical servers – other cloud options available • Instantiate an EIQ System Administration and Configuration Tool • Instantiate a distributed network asset/device, data source and metadata repository • Network asset/device discovery • Data source discovery − Using network asset/device discovery tool − Using spiders for e. Discovery-type documents, files, email, etc. • Instantiate EIQ Adapters™ on demand Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 32

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ processes (2 of 5) • Data discovery − Optionally, with raw Link Indexes™ (internal and external pre-joins) • • Data identification DSL = Data Security Layer DSL: Data risk classification CS = Cybersecurity CS: Event correlation Data profiling for data transforms for typos, transpositions and non-standard data, e. g. , name, address, phone and email correction − Lookup dictionaries and thesauri, USPS or other address correction, and regular expressions − DSL: Masking, tokenization or encryption for indexed data or dynamically depending on access controls Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 33

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ processes (3 of 5) • Multiple indexes and types, e. g. , basic content, DSL: security (classification), aggregations, calculations, fuzzy, text, extracted entities and Link Indexes • DSL: Can encrypt entire disc volumes, individual indexes or entire sets of indexes • MDM: Data source-specific tables containing unique indexed primary entity IDs, and master data, links and date-time MDM = Master Data Management − Create using Link Index process, with multi-attribute fuzzy match for composite scoring and master data rules • DSL: Wham. Tech Security and Privacy Access Profiles (SPAPs) or other Role. Based Access Control − Current: Source organization, user, role, application, target organization and data source profiles available − Future: Extend for application processes Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 34

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ processes (4 of 5) • Hierarchies honored through joins and/or Link Indexes − Inferred ontologies − Reasons for hierarchies change depending on application, e. g. , one vendor has multiple products and one product from multiple vendors • MDM: Versioning with access to historic master data • Combine with other data sources, tending towards EDW/enterprise solutions • MDM: Pure registry option to replace either data source indexes or source data itself (automatically updates indexes) with master data − Pure registry-based master data table, but limits options and more complex • Execute analytics, combined with other data and search/query filters, e. g. , BI and link analysis/graph database − Include aggregations, calculations, master data (if available) and other data, e. g. , external Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 35

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ processes (5 of 5) • Write back selective updates/corrections to data sources with possible inverse data transforms (MDM: See previous slide) • Continuously monitor metadata (index tree profiles) using stored procedures with triggers − Helps identify anomalies/outliers • Event processing enabled (federated solution for Oracle® Event Processing) – Open source and commercial BPM software for non-Oracle solutions • Interoperability query transformation to avoid rewriting applications – Goal to enable almost any application(s) to work with almost any data source(s) • Mainframe data source option – files and live systems • Hadoop (HBase/Hive and HDFS levels) and Cassandra options Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 36

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ key differentiators expanded (1 of 2) 1. Data remains in sources – not copied or moved 2. Any data source – mainframes, legacy, databases, office documents, Web, social media, streaming, Hadoop, Cassnadra, structured, unstructured, semi-structured, etc. 3. Automation as much as possible – detect new devices, and discover data sources and data, e. g. , for Io. T and networks 4. Data quality addressed before any data access – cleansed, transformed and standardized indexes, and results 5. Own indexes, indexed views and query processing, as part of adapters to multiple data sources – parallel distributed processing – linearly scalable – maintained in real-time using changed data capture, incrementally and batch 6. Event processing (partner with Oracle®) Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 37

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ key differentiators expanded (2 of 2) 7. Link mapping finds relationships between entities within and across data sources and captures them in Link Indexes™ using (i) exact, (ii) fuzzy and (iii) composite weighted probability matches 8. Link Indexes used to (i) locate and read entities for master data, (ii) execute degrees of separation queries, (iii) accelerate joins, (iv) represent ontological/semantic models and (v) perform link analytics 9. Seamless combination of master data with operational, other enterprise and external data systems, and of use by any application 10. Link analytics for single customer/patient views, network visualization, fraud detection, debottlenecking, social media analysis, etc. 11. Highly interactive browser-based query, results and link visualization tool 12. New support for active CRM, BPM, individual analytics and machine learning Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 38

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Smart. Data Fabric™ data processes Discarded/retained Acted on Analyzed Reported Note: Data not copied or moved - only results retrieved Device/host discovery (Results data quality/ transformation) Data source discovery Results retrieval Data discovery and profiling Query processing Master data management Data security classification Data and link indexing Data quality/transformation/ masking/tokenization/encryption Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 39

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Solutions to multiple challenging problems in one platform Applications Virtual network, data source and advanced data discovery Virtual data security Virtual event cybersecurity processing Virtual MDM Virtual reporting, BI and analytics Virtual interactive link analysis and visualization Distributed Data Virtualization (and Federation, Integration and Interoperability) Platform, aka Smart Data Fabric™ Revision 5. 3 Copyright 2016 Wham. Tech, Inc. Optional Modules Basic Product 40

Smart Data Fabric™ Distributed Data Virtualization, Federation, Integration, Analytics and Security Platform Solutions to multiple challenging problems in one platform 1. 2. 3. 4. 5. 6. 7. 8. SMART DATA FABRIC™ (SDF) for basic data discovery, profiling, quality, mapping, indexing, virtualization, federation, integration and interoperability as basis for capability support modules and applications EXTEND SDF WITH AUTOMATED NETWORK, DATA SOURCE AND ADVANCED DATA DISCOVERY including relationships and eventual automated mapping to a standard data view EXTEND SDF WITH EVENT PROCESSING to keep track of significant changes occurring in data EXTEND SDF WITH DISTRIBUTED (preferably HYBRID) MDM to seamlessly combine with operational/transactional data and maintain in near real-time EXTEND SDF WITH IMPROVED CYBERSECURITY through indexed federated log and other data source access, including automated anomaly detection and automated event correlation EXTEND SDF WITH VIRTUAL DATA SECURITY LAYER to defend and protect data of value (i) as it is created, (ii) at rest in the source, (iii) in transit, (iv) at the recipient and (v) after no longer needed EXTEND SDF WITH BI/ANALYTICS oriented virtual and materialized real-time updateable hierarchical indexed views, text analytics including entity extraction, and locally executed algorithms EXTEND SDF WITH LINK ANALYSIS (and OEM LINK VISUALIZATION) for link analysis/graph database for almost any type of analytics, including virtual MDM (master patient index), cybersecurity and data security Revision 5. 3 Copyright 2016 Wham. Tech, Inc. 41
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