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An In-Memory RDBMS as an Alternative to Storm

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Eugene D.
An In-Memory RDBMS as an Alternative to Storm

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Hi,

This time we will have very interesting presentation that may influence how you approach real-time streaming problems.

An In-Memory RDBMS as an Alternative to Storm.

John Hugg, VoltDB

Abstract: In 2008, the team behind VoltDB set out to completely rethink transaction processing for the 21st century. VoltDB 1.0 leveraged multi-core CPUs, shared-nothing clustering and cheap and copious DRAM to achieve throughput, low latency and high fault-tolerance, all without sacrificing ACID consistency. Interestingly, early users pushed us to add real-time analytics and stream processing features. At high throughput, it was important to understand how data was changing as it was changing. Over time, our system became a powerful stream processing tool.
Apache Storm is one of several new systems that aim to add scalability and robustness to stream processing in this era of big data. Storm takes a completely different approach to solving these problems, focusing on distributed processing, while relying on complementary components for ingestion, state management, etc.
This talk will compare and contrast the approaches of VoltDB and Storm for stream processing, arguing that for many problems, a more integrated solution saves time and costs in development and in operations. We will specifically cover the benefits of integrated state, strong consistency and a native and natural query interface. We will examine competing solutions of specific real user problems. Hopefully this will spark a lively discussion.

Speaker:

http://photos2.meetupstatic.com/photos/event/9/b/d/5/600_433899893.jpeg

John Hugg (http://www.linkedin.com/in/johnhugg) (@johnhugg (http://twitter.com/johnhugg)) has spent his entire career working with databases and information management. At start of 2008, he was lured away from a Ph.D. program by Mike Stonebraker to work on what became VoltDB. As the first engineer on the product, he liaised with a team of academics at MIT, Yale and Brown who were building H-Store, VoltDB's research prototype. Then he helped build the world-class engineering team at VoltDB to continue development of the open source and commercial products.

Agenda:

6 :30 pm: Guests arrival & networking.

7: 00 pm: An In-Memory RDBMS as an Alternative to Storm

8.30pm: Event ends.

Sponsors:

VoltDB, Spotify

RSVPs will cost $5. (Refundable) Proceeds go towards nonprofit organization, Girls Who Code (http://girlswhocode.com/about-us/). Launched in Spring 2012, Girls Who Code is a national nonprofit organization working to close the gender gap in the technology and engineering sectors. With your support, Girls Who Code works to educate, inspire, and equip high school girls with the skills and resources to pursue opportunities in computing fields. I got inspired by article in in Forbes magazine, STEM Fields And The Gender Gap: Where Are The Women? (http://www.forbes.com/sites/work-in-progress/2012/06/20/stem-fields-and-the-gender-gap-where-are-the-women/)

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New York City Real-Time Stream Processing User Group
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