Dev Conference by Neo4j
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Session Track: Data Science
Session Time:
Session description
The Neo4j-Databricks connector integrates Neo4j’s graph database with Databricks' analytics platform to provide deeper insights and faster development for Generative AI applications. This partnership allows users to combine structured and unstructured data, uncover hidden patterns, and enhance analytics and AI capabilities. Key features include seamless data ingestion, real-time insights, robust security, and the use of Neo4j’s graph algorithms and Cypher query language. This integration aims to improve decision-making, fraud detection, supply chain management, and more.
Senior Data Architect
With over 18 years of experience as a Solution/Data Architect, I specialize in leveraging data to enhance revenue, derive actionable insights, and develop innovative solutions across sectors such as construction, oil and gas, and transportation. I design and manage a Modern Cloud Data Lakehouse Architecture with Azure Synapse and Azure Databricks, implementing Data Mesh principles and TOGAF methodology for scalable, efficient solutions. My expertise in analytics modeling and NoSQL databases supports real-time analytics and data governance, aiming to drive revenue growth, improve customer experience, and optimize business operations through data-driven strategies.
