Download the slides here>> Changes in consumer behavior are driving the need for applications to be highly personalized and localized across industries and verticals. Use of a high-performance, feature-rich NoSQL database can support personalization based on behavior, geographical location, and the specific mobile and IoT devices that users are on and around. However, enterprises […]
Fluree Demo: The Great Escape – Liberating 20+ Years of Legacy Data into Knowledge Graphs and Semantics with AI
Download the slides here>> Most large enterprises struggle to adopt knowledge graphs and semantic models given years of investments in legacy mainframe, relational database and data warehousing technologies. Because legacy data has been created and retained in source application schemas with zero semantic structure, the cost and complexity to convert to a universal-semantic data […]
MongoDB Demo: From RDBMS to NoSQL at Enterprise Scale
Download the slides here>> NoSQL isn’t just a database. It’s a new way of thinking about data. Traditional RDBMS has been baked into software development for decades. Moving development organizations from RDBMS to NoSQL means overcoming technology momentum and the natural bias to use solutions that are already well understood. Prior to joining MongoDB, […]
Cambridge Semantics Demo: Conversations with Your Data
Download the slides here>> Knowledge Guru is a revolutionary new feature that facilitates a conversational interaction (similar to ChatGPT) between individuals and data in their organization. The first part of this session will cover Knowledge Guru’s capabilities, and how it utilizes LLM technology. Then we’ll peel back a couple of layers and discuss how […]
ADV Webinar: Understanding the Modern Applications of Graph Databases
Download the slides here>> About the Webinar Another day, another mind-blowing show of capabilities from the graph database market. Reports feature benchmarks running one trillion relationships where throughput and latency improve linearly with the number of shards that it’s distributed across. There are also demonstrations of a massive knowledge graph that consists of materialized […]
DataStax Demo: Building an Efficient Streaming Data Pipeline With Apache Cassandra and Apache Pulsar
Download the slides here>> Event Streaming is one of the most important software technologies in the current computing era as it enables systems to process huge volumes of data in blazingly high speed and in real-time. It is indeed the “glue” that can connect data to flow through disparate systems and pipelines that are […]
Webinar: Activate your Data Lakehouse with an Enterprise Knowledge Graph
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Rapid innovation and disruption in the data management space is helping organizations unlock value from data available both inside and outside the enterprise. Organizations operating across physical and digital boundaries are finding new opportunities to serve customers […]
Webinar: JSON Data Modeling in Document Database
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Making the move to a document database can be intimidating. Yes, its flexible data model gives you a lot of choices, but it also raises questions: Which way is the right way? Is a document database even […]
Webinar: The Death of the Star Schema
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Learn about the three advances in database technologies that eliminate the need for star schemas and the resulting maintenance nightmare. Relational databases in the 1980s were typically designed using the Codd-Date rules for data normalization. It was […]
Stardog Demo: Unlock the Power of Your Data Lake with an Enterprise Knowledge Graph
Download slides here>> Companies have struggled to gain value from data lakes. They require extensive preparation and coding to make data accessible and queryable, making them prohibitively expensive and slow for analytics. As a result, data and analytics teams spend the bulk of their time wrestling data problems vs. delivering analytic insights, costing organizations billions […]