Meeting/Event Information


November 20, 2014

Rick Reimer Managing Big Data: RDBMS Scaling Options and Big Data Use Cases
November 20, 2014
9:00 AM - 12:00 PM
CA formerly Computer Associates
520 Madison avenue (53rd Street)
New York City, NY 00000
Managing Big Data: RDBMS Scaling Options and Big Data Use Cases

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           Managing Big Data Rick Reimer, Splice Machine


Managing Big Data: RDBMS Scaling Options


Presentation Brief

In this presentation, we will discuss RDBMS scaling choices to Big Data, your options, decision points, and how to use existing infrastructure.  Traditional relational databases like Oracle and IBM have been the de facto RDBMSs for decades. They do many things very well and are still a strong choice for high performance transactional systems, especially for data volumes below a few terabytes. However, when data volumes begin to scale, many enterprises are looking for more cost-effective alternatives.


Distributed computing (i.e., the ability to scale out on commodity hardware) is a disruptive technology underpinning the new wave of database innovators such as SQL-on-Hadoop, NoSQL and NewSQL solutions. These solutions can offer a dramatic price/performance improvement over legacy databases. Incumbent database vendors have faced threats to their dominance in the past, but it is different this time, because of the volume, velocity, and variety of data growth.  Also, companies have mandates to figure out how to reduce costs with open-source software and commodity hardware, as well as efficiently support new semi-structured and unstructured workloads.

                                                             Big Data Use Cases

Most Big Data and Hadoop use cases have focused on ETL and batch analytics.  However, there is a new class of Big Data use cases emerging - powering real-time applications and analytics. 

 Why is this possible now?  New SQL-on-Hadoop technologies enable real-time, interactive queries on Hadoop.  In other cases, RDBMS technology is being married to the scale-out technology of Hadoop to enable reliable real-time updates. 

 Why should you care?  This enables a whole new class of real-time Big Data use cases in digital marketing, ad tech, and telecom industries.  In the cases in which these SQL-on-Hadoop technologies replace traditional RDBMSs, you can easily see greater than 10x price/performance improvement because of the ability to parallelize queries and scale out on commodity hardware.

 In this presentation, we will examine real-time Big Data uses cases, such as replacing traditional RDBMSs (e.g., Oracle and MySQL) struggling to scale for real-time applications, and offloading operational analytics from operational data stores and data warehouses.  We will also discuss how this Big Data scale-out technology now enables new applications such as real-time personalization and cyber threat security that integrate streaming data with historical data to drive real-time decisions.  Lastly, we will talk about possible issues migrating from existing databases.



About the Speaker:

Rich Reimer – Vice President Product, Splice Machine

Rich has over 15 years of management experience in high-tech companies to Splice Machine. Before joining Splice Machine, Rich worked at Zynga as the Treasure Isle studio head, where he used petabytes of data from millions of daily users to optimize the business in real-time. Prior to Zynga, he was the COO and co-founder of a social media platform named Grouply. Before founding Grouply, Rich held executive positions at Siebel Systems, Blue Martini Software and Oracle Corporation as well as positions at General Electric and Bell Atlantic. Rich received his BSEE in Electrical Engineering from the University of Michigan, his MSEE in Electrical Engineering from Columbia University, and an MBA from Harvard Business School, where he was a Baker Scholar.


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