Join us for this live webinar with Thanos Giannakis, Senior Product Development Engineer at Tom Sawyer Software, as he discusses how to unify Kafka streams and other heterogeneous sources into a governed, query-ready knowledge graph with Tom Sawyer Data Streams. Learn how you can continuously run datas flow to normalize, enrich, and link changing streams in real time, then persist the knowledge graph model in a graph database for scalable sharing and downstream analysis.
Discover how Data Streams transforms real-time data streams into AI-ready knowledge graphs for accurate insights, governance, and scalable analytics.
Thanos Giannakis, Senior Product Development Engineer at Tom Sawyer Software, demonstrates how to unify Kafka streams into query-ready knowledge graphs using Tom Sawyer Data Streams.
About the host
Thanos Giannakis joined Tom Sawyer Software in 2018 as a Software Engineer working on data integration using graph and relational databases. Since 2020, he leads technical teams to orchestrate the development of robust software systems that leverage the power of graph databases to extract insights from complex data structures. Thanos brings over 9 years of expertise in software development, graph database integrations, and graph-based solutions.
Prior to joining Tom Sawyer Software, Thanos served as a Software Engineer and Researcher at the Institute of Computer Science in Crete. There he specialized in the design and development of web and Java applications for high-speed data acquisition and integration. His work extensively covered areas such as graph database technologies, information retrieval, Semantic Web, and knowledge representation, with a particular focus on exploratory search and Linked Data. In addition to his research and development roles, Thanos was also a teaching assistant in Java at the University of Computer Science Department in Crete.
Thanos holds a Master of Software Engineering degree from the University of Computer Science Department in Crete.