Seattle Hadoop / Scalability / NoSQL Meetup: Energy Exploration and a Startup

This meetup focuses on Scalability and technologies to enable handling large amounts of data: Hadoop, HBase, distributed NoSQL databases, and more!

There's not only a focus on technology, but also everything surrounding it including operations, management, business use cases, and more.

We've had great success in the past, and are growing quickly! Including guests from Twitter,... [read more]

This meetup focuses on Scalability and technologies to enable handling large amounts of data: Hadoop, HBase, distributed NoSQL databases, and more!

There's not only a focus on technology, but also everything surrounding it including operations, management, business use cases, and more.

We've had great success in the past, and are growing quickly! Including guests from Twitter, LinkedIn, Amazon, Cloudant, Microsoft, 10gen/MongoDB, and more.

Our format is flexible: We usually have speakers who talk for ~30 minutes each and then do Q+A, plus discussion.

There'll be beer afterwards, of course!

Meetup Location:

Amazon HQ, 1918 8th Avenue, Puget Sound Room, 3rd Floor, Seattle, WA

(A secret startup...ContextRelevant...AND...)

 

Real-time Big Data Challenges in the Energy Industry: How New Data Models, Cloud Systems, and Mobile Devices Will Meet Them

The search for oil and gas often requires extreme technology in extreme environments to collect data.  The analysis of this data requires enormous compute capacity to generate models of the subsurface geometry and properties.  The development of embedded sensors on the ocean floor and in wells makes these tasks even more challenging with the amount of generated data increasing by orders of magnitude.  To make all this even more challenging, we need answers sooner than before because the decisions made are time-critical in optimizing operations and preventing catastrophic failures such as seen in the Gulf of Mexico.

Hopefully this talk will provide you interesting insights into how physics, math, and computer science are used to find hydrocarbons.   The challenges described above, though, have not been met.  I’ll describe in detail how I think they can be addressed, and how I think those of you involved in data modeling, high-performance computing, cloud-server and mobile systems development can help solve them.

 

 

 

 

NOTE: This building is in the 'back right' of the area with the stairs.

Doors open 30 minutes ahead of show-time. Please show up at least 15 minutes early out of respect for our first speaker.

 

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