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Navigating the Post-Relational Database Era at Data Summit 2018


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With more big data options than ever before we are now in the post-relational database era, according to David Teplow, CEO, Integra Technology Consulting.

However, professionals aren’t done with relational database management systems (RDBMS) and are utilizing Hadoop, HBase, Cassandra, MongoDB and more, alongside tried and true RDBMS solutions.

Teplow will discuss the rise of Hadoop and other massively parallel processing architectures during his Data Summit 2018 session titled, “SQL’s Sequel: Hadoop and the Post-Relational Revolution.”

According to Teplow, his presentation will focus on the new generation of database technologies that have emerged over the past decade or so in response to how data itself has changed in terms of size, speed and structure (or lack thereof).

“The prior generation of database technology was completely dominated by Relational Database Management Systems (RDBMS), which came with widely accepted standards for data modeling (Relational for transactional systems; Dimensional for analytical systems) and for data access (SQL),” Teplow said. “No such standards exist for technologies like Hadoop, HBase, Cassandra, MongoDB, DynamoDB and other NoSQL databases that offer multiple storage models) and numerous access methods.  It’s important to understand the differences between the many options and the tradeoffs that come with each.”

Teplow isn’t new to the stage at Data Summit, having held a session in 2015 titled, “Hadoop: Whose to Choose.”  

This year, he looks forward to the conference coming to his hometown of Boston and, more importantly, to hearing what attendees have to say about their data-related experiences, objectives and concerns.

Teplow predicts that attendees will be focused on which technologies and vendors are leaders and which ones are losers.

“I believe there’s an over-abundance of technologies for storing and processing Big Data, and the field seems to get even more crowded by the month,” Teplow said. “The market needs to pick its winners and begin to agree on standards for integration, governance, security, etc.”

He is especially excited to be sharing his session with Sumit Pal who will be speaking about SQL on Big Data.

“It’s a topic he literally wrote the book on,” Teplow said. “Sumit is a good friend and someone I respect greatly for his years of experience designing and building systems to handle Big Data, and for his comprehensive understanding of SQL engines for Big Data.”

Teplow will give his talk on Tuesday, May 22, 2018, at 10:45 am at Data Summit.

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

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


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