Connect the Dots in Complex Distributed Data

How To Use Graph Databases for Better Analytics and Faster Business Insights

Graph databases and analytics are at the forefront of advanced analytics technologies. Graph technology is a set of analytic techniques that allows for deep exploration of connected data, tracing the complex interrelationships among various entities and placing them all in context to derive deeper, actionable insights. Graph database technology forms the foundation of solutions to some of the world’s most prevalent data challenges.

In this webinar, you'll hear how companies globally rely on graph-powered solutions to combat fraud and money laundering, build more efficient and effective supply chains, and understand their customers to help meet their needs and protect their sensitive data better.

Graph databases are uniquely positioned to handle relational analysis of complex distributed data sets without the constraints facing legacy relational database management systems and NoSQL databases. If graph database technology is not already on your enterprise's radar, it should be.

On Demand
1h 00min

Attend this webinar and you will discover how to:

  • Use graph technologies to rapidly analyze thousands of data sources with millions or billions of elements.
  • Answer complex questions about relationships in large data sets.
  • Increase speed of queries, improve business outcomes, and save money.

Featured Speakers

  • Dan Eaton
    Dan Eaton
    Director of Business Development

    Dan Eaton is Director of Business Development at TigerGraph. Previous to joining TigerGraph Dan has spent the last decade building accelerated computing solutions to accelerate Amazon Redshift, Apache Cassandra, Apache Kafka, Apache MXNet, Apache Spark, HDFS, ONNX, IBM Netezza, Pytorch, Tensorflow at Parallel Computing Solutions, DirectStream and Xilinx. Dan has an MBA from the University of Minnesota and a BS in Mechanical Engineering from Iowa State University of Science and Technology.

  • Gerard Svartz
    Gerard Svartz
    Sr. Marketing Development Manager

    Gerard Svartz is a Solutions Marketing Manager at AMD with over 30 years of experience across a broad spectrum of the technology industry. He's held sales and marketing roles in both hardware and software companies, from startups to among the largest technology companies in the world. Additionally, he's supported solutions for small and medium businesses to the Fortune 500. This diverse background affords him a great perspective in understanding the disparate needs of a wider audience.

  • Mark Thomas
    Mark Thomas
    Data Analytics & Artificial Intelligence - North America East Commercial
    Dell Technologies

    Mark Thomas has over 20 years of combined datacenter, big data analytics, and AI solutions experience with Dell Technologies, spanning public and multiple corporate verticals. Mark's passion is helping organizations plan for and adopt a vision-aligned AI strategy by collaborating with key stakeholders (i.e. executives, data scientists, business leads, & IT), while helping identify and mitigate risk and optimize ROI.

  • Michael Krieger
    Michael Krieger

    Michael has been involved in various disciplines in the information technology field for more than 25 years. His background and experience in product development, marketing and sales give him a unique perspective on how and why companies succeed in the technology marketplace. He has served as a senior VP for marketing at FutureLink, a large ASP based in Southern California. Before that he was VP of marketing for Hitachi Data Systems’ server product line, and also was a senior product manager for AST Research's server and data communications product lines. His entrepreneurial experience includes founding Solution Business Systems, a developer of manufacturing software for IBM midrange systems. He was also VP of product development at Techland Systems, one of the industry's first creators of micro-to-mainframe emulators.

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