Data architects and IT executives are continually looking for the best ways to integrate graph data and analytics into their organizations to improve business outcomes. This session outlines how the Data Lakehouse provides the perfect starting point for a successful journey. We will explore how the Data Lakehouse offer the unique combination of scalability, flexibility, and speed to quickly and effectively ingest, pre-process, curate, and analyze graph data to create powerful analytics. Additionally, we will discuss the benefits of using the Data Lakehouse over traditional graph databases and how it can help improve time to insight, time to production and overall satisfaction. At the end of this presentation, attendees will:
– Understand the benefits of using a Data Lakehouse for graph data and analytics
– Learn how to get started with a successful Lakehouse implementation (demo)
– Discover the advantages of using a Data Lakehouse over graph databases
– Learn specifically where graph databases integrate and perform better together
Key Takeaways:
– Data lakehouses provide the perfect starting point for a successful graph data and analytics journey
– Data lakehouses offer scalability, flexibility, and speed to quickly and effectively analyze graph data
– The Data lakehouse is a cost-effective alternative to traditional graph database shortening your time to insight and de-risk your project
Talk by: Douglas Moore
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