Are Knowledge Graphs the Next “Killer App” in Big Data Integration?
Originally Recorded January 30, 2020
Steve Sarsfield, VP of Product, AnzoGraph DB, Cambridge Semantics, Inc.
The extraordinary growth in complex data has left many enterprises struggling to create an integrated, comprehensive view of that data. The high level of technical acumen needed and cost of managing and transforming massive amounts of disparate data, as well as the shortcomings of traditional data management solutions and architectures, has resulted in a significant underutilization of enterprise data for meaningful analytics and insight.
In recent years, knowledge graphs have emerged as a powerful tool for integrating large volumes of distributed, data, both structured and unstructured. A simplified graph data model available in graph databases helps enterprises achieve this goal in fewer steps and without locking into a single notion of the analytics needed.
Register for this webinar to learn how enterprises are using a massively parallel processing (MPP) native graph database like Cambridge Semantics’ AnzoGraph® DB – which is built for diverse data harmonization and analytics at scale (trillions of triples & more), speed, and deep link insights – to accelerate complex, large-scale data integration initiatives, including those involving massive knowledge graphs.
This webinar is for Application Developers building apps with embedded analytics that require graph algorithms, graph views, named queries, aggregates, built-in data science functions, data warehouse-style BI, and reporting functions.
You will learn:
- A comparison of old school data harmonization methods to new graph-based methods for data harmonization
- Comparison of data management tools where you might build a knowledge graph and why all may not be suitable
- The powerful side benefits of graph databases, like graph algorithms, and how they go beyond standard analytics to uncover relationships in the data.
Simply fill out the form to the right to view this informative webinar now!
