This month, Matt Kalan will discuss how to use MongoDB as a tick database. We'll also be looking for lightning talks at the meetup next week. If you have a new project you're working on or want to show some MongoDB tips, let us know!
Learn how you can enjoy the developer productivity, low TCO, and unlimited scale of MongoDB as a tick database for capturing, analyzing, and taking advantage of opportunities in tick data. This presentation will illustrates how MongoDB can easily and quickly store variable data formats, like top and depth of book, multiple asset classes, and even news and social networking feeds. It will explore aggregating and analyzing tick data in real-time for automated trading or in batch for research and analysis and how auto-sharding enables MongoDB to scale with commodity hardware to satisfy unlimited storage and performance requirements.
About Matt: Matt is a Senior Solutions Architect with MongoDB based in New York, with extensive experience helping more than 200 customers in financial services and other industries solve business problems with technology. Before MongoDB, Matt grew Progress Software's Apama Algorithmic Trading and Complex Event Processing (CEP) Platform business in North America and later sold broader operational intelligence solutions to FS firms. He previously worked for Caplin Systems selling solutions to stream real-time market data over the web to FX and FI portals, and for Sapient providing consulting services to global 2000 clients.
Unfortunately have Jim Sills, CEO of Clear Demand had to reschedule his presentation at the New York MUG. We will be hosting Jim at a future date to keep your eye out!