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The Year of the Graph

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Graph technology has truly burst onto the scene with diverse new products and services, proving that graph is relevant and that not all graph use cases are equal. Previously relegated to niche implementations and science projects, graph now finds itself deployed as the foundational technology for enterprise analytics solutions and enterprise Data Fabric strategies. It is no surprise that many are calling 2018 “The Year of the Graph”.

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The Year of the Graph

  1. 1. The Year of the Graph Ben Szekely, VP Solution Engineering
  2. 2. ©2018 Cambridge Semantics Inc. All rights reserved. Data Lake Architecture Semantic Layer Graph Database Technology
  3. 3. ©2018 Cambridge Semantics Inc. All rights reserved. Data Lake Architecture Semantic Layer Graph Database Technology Graph Database Technology
  4. 4. Unstructured Content Diverse Data Sources Enterprise Data Lakes Internal Databases & Applications Industry Standards & Open Data Third-Party Data Open Standards Scalability Security Governance The Enterprise Knowledge Graph
  5. 5. ©2018 Cambridge Semantics Inc. All rights reserved. 2018 is the year of the Graph
  6. 6. ©2018 Cambridge Semantics Inc. All rights reserved. Here are three reasons why
  7. 7. ©2018 Cambridge Semantics Inc. All rights reserved. 1. Graph Database offerings are showing maturity in capability and diversity
  8. 8. ©2018 Cambridge Semantics Inc. All rights reserved. On-line Transaction Processing (OLTP) On-line Analytical Processing (OLAP) Large number of short transactional queries (ex: SELECT, UPDATE, DELETE) Relatively fewer but complex analytical queries on large data (ex: AVERAGE, SUM, COUNT) Graph Database Market Segmentation
  9. 9. ©2018 Cambridge Semantics Inc. All rights reserved. Relational Databases Graph Databases On-line Transaction Processing (OLTP) On-line Analytical Processing (OLAP) Large number of short transactional queries (ex: SELECT, UPDATE, DELETE) Relatively fewer but complex analytical queries on large data (ex: AVERAGE, SUM, COUNT) Graph Database Market Segmentation
  10. 10. ©2018 Cambridge Semantics Inc. All rights reserved. Relational Databases Graph Databases AnzoGraph™ Graph Databases Relational Databases On-line Transaction Processing (OLTP) On-line Analytical Processing (OLAP) Large number of short transactional queries (ex: SELECT, UPDATE, DELETE) Relatively fewer but complex analytical queries on large data (ex: AVERAGE, SUM, COUNT) Graph Database Market Segmentation
  11. 11. ©2018 Cambridge Semantics Inc. All rights reserved. 2. Graph is being used beyond classical graph problems
  12. 12. ©2018 Cambridge Semantics Inc. All rights reserved. Classical Graph Application: How is Daniel Related to Grant
  13. 13. ©2018 Cambridge Semantics Inc. All rights reserved. Classical Graph Application: How is Daniel Related to Grant
  14. 14. ©2018 Cambridge Semantics Inc. All rights reserved. Today’s Graph Application Harmonize and Connect Data Across N>1 Data Sources Firmographics Data Citeline Data Salesforce Data Multi-value cells need to be parsed No schemas exist to interlink data
  15. 15. ©2018 Cambridge Semantics Inc. All rights reserved. Today’s Graph Application Harmonize and Connect Data Across N>1 Data Sources Firmographics Data Citeline Data Salesforce Data Multi-value cells need to be parsed No schemas exist to interlink data
  16. 16. ©2018 Cambridge Semantics Inc. All rights reserved. Today’s Graph Application – Join and Aggregate Across N>1 Data Sets
  17. 17. ©2018 Cambridge Semantics Inc. All rights reserved. 3. Digital Transformation of complex data requires graph
  18. 18. ©2018 Cambridge Semantics Inc. All rights reserved. Driving Digital Transformation of the Science-Driven Business Graph provides a data model flexible and scalable enough to digitize even the most complex business processes
  19. 19. ©2018 Cambridge Semantics Inc. All rights reserved. Driving Digital Transformation of the Science-Driven Business
  20. 20. ©2018 Cambridge Semantics Inc. All rights reserved. Complex Scientific Discovery Model
  21. 21. ©2018 Cambridge Semantics Inc. All rights reserved. Beyond Graph The Semantic Layer makes graph accessible
  22. 22. ©2018 Cambridge Semantics Inc. All rights reserved.
  23. 23. ©2018 Cambridge Semantics Inc. All rights reserved. The Semantic Layer A human-readable representation of data that uniquely identifies and connects data with common business terms. A layer that helps end users access data autonomously, securely and confidently.
  24. 24. ©2018 Cambridge Semantics Inc. All rights reserved. An Information Fabric in the Life Sciences Industry Drug Discovery Preclinical Product Development FDA Review Scale Up Production Post Marketing Surveillance PHASE 1 PHASE 2 PHASE 3 ~5,000-10,000 Compounds 250 Compounds 5 Compounds 3-6 Years 6-7 Years 0.5 - 2 Years Indefinite INDSUBMITTED NDA/BLASUBMITTED PREDISCOVERY Number of Volunteers 20-100 100-500 1,000-5,000 $538m $119m $219m $255m $251m $39m FDA Approved Clinical Trial Exploratory Analytics
  25. 25. ©2018 Cambridge Semantics Inc. All rights reserved. An Information Fabric in the Life Sciences Industry Drug Discovery Preclinical Product Development FDA Review Scale Up Production Post Marketing Surveillance PHASE 1 PHASE 2 PHASE 3 ~5,000-10,000 Compounds 250 Compounds 5 Compounds 3-6 Years 6-7 Years 0.5 - 2 Years Indefinite INDSUBMITTED NDA/BLASUBMITTED PREDISCOVERY Number of Volunteers 20-100 100-500 1,000-5,000 $538m $119m $219m $255m $251m $39m FDA Approved Clinical Data Standards Mgmt Clinical Trial Exploratory Analytics Real World Research PV & Safety Case Management
  26. 26. ©2018 Cambridge Semantics Inc. All rights reserved. An Information Fabric in the Life Sciences Industry Drug Discovery Preclinical Product Development FDA Review Scale Up Production Post Marketing Surveillance PHASE 1 PHASE 2 PHASE 3 ~5,000-10,000 Compounds 250 Compounds 5 Compounds 3-6 Years 6-7 Years 0.5 - 2 Years Indefinite INDSUBMITTED NDA/BLASUBMITTED PREDISCOVERY Number of Volunteers 20-100 100-500 1,000-5,000 R & D Intelligence (CI) $538m $119m $219m $255m $251m $39m FDA Approved Product Development & Regulatory Clinical Trial Operations Medical Advisory Board Analytics Clinical Data Standards Mgmt Clinical Trial Exploratory Analytics Real World Research Voice of the Customer Analytics Source of Influence Commercial Analytics PV & Safety Case Management
  27. 27. ©2018 Cambridge Semantics Inc. All rights reserved. “As the influx of use cases for advanced analytics and data exploration continues to rise, we have experienced greater than expected growth in the intrinsic value of the information fabric, providing insights previously requiring human heroics to achieve.” The Information Fabric ASDL Fortune 100 Customer
  28. 28. ©2018 Cambridge Semantics Inc. All rights reserved. What Lies Ahead? The foundation for leveraging new technologies on existing data NLP ML AI
  29. 29. ©2018 Cambridge Semantics Inc. All rights reserved. Our Technology Data Lake Architecture Semantic Layer Graph Database Technology
  30. 30. ©2018 Cambridge Semantics Inc. All rights reserved. Many Organizations Have Established Data Lakes 30 Built to reduce storage costs, and enable self service access to data
  31. 31. ©2018 Cambridge Semantics Inc. All rights reserved. Data Ingestion Structured Data Ingest and ETL Storage Infrastructure Data Cataloging Basic Metadata Cataloging Self Service Access to Raw Data Sets Standard Data Lake Offerings Focused on ingest and cataloging Many Organizations Have Established Data Lakes 31
  32. 32. ©2018 Cambridge Semantics Inc. All rights reserved. Data Ingestion Structured Data Ingest and ETL Storage Infrastructure Data Cataloging Basic Metadata Cataloging Self Service Access to Raw Data Sets Standard Data Lake Offerings Focused on ingest and cataloging Many Organizations Have Established Data Lakes 32 But does not address: - Unstructured Data/NLP - Data Prep - Custom Coding - Data Integration - Multiple Vendor Integration
  33. 33. ©2018 Cambridge Semantics Inc. All rights reserved. Anzo Smart Data Lake 4.0 – Bringing Graph to the Data Lake We bridge that gap
  34. 34. Click To See A Demo!

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