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Discover How Graph Databases Can Uncover Business Insights at Data Summit 2018


With the proliferation of big data throughout enterprises, businesses need innovative ways to derive insights to propel business value. This is where knowledge graphs come in, a tool that can drive new marketing strategies to maintain existing customers and attract new ones.

Sean Martin, CTO at Cambridge Semantics will dive deep into why graph databases matter in his Data Summit 2018 presentation titled, “The Rise of Graph Databases: From Thomson Reuters to Amazon Neptune.”

Data Summit 2018 is taking place at the Hyatt Regency Boston, May 22-23.

“It’s been a long time coming but just in the last year or two the technology that underpins graph databases has improved dramatically in its ability to scale to significantly more data which is for the first time making it viable to deliver enterprise applications,” Martin said.

He’ll be discussing the history of Graph Databases, different types of graphs and their orientations, and more.

“I don’t think people have graph in their head as a particular database that’s good for relational data as well as doing queries,” Martin said.

With the amount of information and data being generated from structured and unstructured sources people are getting swamped. This is the time to introduce graph databases as an alternative to work through this data to create context and relationships, explained John Rueter, vice president of marketing.

This will be Martin’s first time at Data Summit, even though the company works frequently with DBTA. The company is looking forward to engaging in energizing conversations with attendees, network, and speak with people in the industry around problem solving platforms for big data, according to Rueter.

“There’s a lot of excitement when we meet people who are getting into graph,” Martin said.

He predicts attendees will be focused on machine learning, the cloud, moving to multi-hybrid cloud strategies, data catalogues, and data lakes.

Martin will give his talk on Tuesday, May 22, 2018 at 4:15 pm at Data Summit.

For more information about Data Summit 2018, and to register, go here.

To review the Data Summit program, go to www.dbta.com/DataSummit/2018/Program.aspx.


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