Date:     Dec 12/18/14 12:22 PM
Subject:  NEJUG Meeting: Thu, Jan 8 - Titan - A Highly Scalable, Distributed Big Graph Database
From:     Stevel Lintz


Welcome to the first NEJUG meeting of 2015! We are starting off strong with a highly anticipated presentation on Titan,
 given by Praveen Peddi - a principal engineer at Kiva (an Amazon company). Also, we'll have our usual agenda,
including job and event announcements from the floor, Lightning Talks, and plenty of time to network.

Since this will be the opening meeting of 2015, I'm hoping to see a large turn out.
We will have all waited patiently through "No NEJUG December," and this is your opportunity to once again
gather with co-members, swap stories, strengthen your professional network, absorb new knowledge, and spark new ideas.

I'm looking forward to a full house and another great meeting.


Stevel Lintz
NEJUG President

Register now to reserve your seat


Topic: Titan - A Highly Scalable, Distributed Big Graph Database
Presenter: Praveen Peddi
Location: Constant Contact

Doors will open at 5pm for networking, pizza and soda provided by Constant Contact will arrive around 5:30pm,
and the meeting will begin promptly at 6pm. Come early to meet someone new and to ensure you get a good seat.

Presentation Overview:

When it comes to persisting data, first thing that naturally comes to a software engineer's mind is an SQL database.
Even though SQL databases are the most widely used persistence technologies today, they often fail to excel when the data size
grows exponentially. "Big Data" gave birth to many NoSQL databases that are designed to address scalability issues.
However NoSQL databases introduced other problems, such as lack of transactional support, lack of relationships (joins) etc.
This presentation focuses on a technology called Titan which provides the best of both worlds (SQL and NoSQL).

Titan is a highly scalable distributed graph computing framework with a pluggable architecture for backend data stores.
This plugin feature supports several NoSQL data stores like Cassandra, HBase, BerkeleyDB, Hazelcast, etc. with just a
configuration change.Titan is proven to support hundreds of billions of vertices and edges in the graph and thousands of
concurrent graph updates and retrievals. This presentation will start with basic concepts of GraphDBs and jump into different
concepts of Titan with a range of examples. Also, there will be a section about achieving transactions and joins using Titan/Cassandra.

Register now to reserve your seat

As always, I want to take a moment to thank our sponsors:

Special thanks to Constant Contact for pizza, beverages, and a wonderful meeting location
Contegix for hosting our website

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