Thursday, October 17, 2019
03:30 PM - 04:30 PM
Are graph databases just another tool for our data architecture toolbox, or will knowledge graphs and/or property graphs replace all other SQL and NoSQL databases for data capture and analysis? Our panelists will reveal their insights into this interesting problem, and the discussion should help you to better navigate the increasingly complex world of data architecture.
Questions to be addressed:
What are the best applications for graph databases?
Is there anything a graph database can’t do?
Is it reasonable to replace a SQL database with a graph database?
Is it reasonable to replace a document database with a graph database?
Dan is a C/C++ developer with the ArangoDB core team. He has worked on the storage and query engines, caching system, and performance testing and optimization. If it involves non-trivial data structures, he’s interested.
Thomas Frisendal, Graph Data Architect and Visual Data Modeler, is an experienced database consultant with more than 30 years on the IT vendor side and as an independent consultant. He has worked with databases and data modeling since the late '70s; since 1995 primarily on data warehouse projects. He has a strong urge to visualize everything as graphs – even data models!
He excels in the art of turning data into information and knowledge. His approach to information-driven analysis and design is "New Nordic" in the sense that it represents the traditional Nordic values such as superior quality, functionality, reliability, and innovation by new ways of communicating the structure and meaning of the business context as graphs.
Thomas is an active writer and speaker. He lives in Copenhagen, Denmark.
Melli Annamalai is a product manager at Oracle. She has vast experience in multiple technology areas related to unstructured and semi-structured data management. Her current focus areas are Big Data, streaming data, and analytics. She works closely with enterprise customers who develop and deploy solutions based on state-of-the-art data management technology, giving her a deep perspective on challenges and solutions when working with large volumes of data from multiple sources. She is a regular presenter at industry events. She has a Ph.D. from Purdue University.
Mark Ouska is an Enterprise Agile Data Strategist and Ontologist with nearly 35 years of professional information management experience in Enterprise Business Data Architecture. He's an Enterprise Data Strategy expert focused on data leadership and enterprise information management strategy development. He's demonstrated success recruiting key cross-functional business segments to participate in the accurate technical articulation and execution of business data goals and objectives. He has proven expertise in extracting business data requirements, developing relationships, and evolving models that execute the enterprise data vision. He has public and private-sector leadership experience implementing solutions that are willingly adopted by technical staff, critical business leadership, and championed by VP and C-Level constituents. He has experience in multiple industries, including Pharmaceutical Research, Retail, Health Care, Financial Services, Consulting, Criminal Justice, Insurance, Natural Resources, Petrochemicals, and Software Development.