What we're about

This Group is for practitioners, enthusiasts, novice, and curious members in the field of Energy Data Science. The Energy industry has its own set of jargon,laws, taxes,etc., so it important that any Data Scientist network with other Data Scientists to share Subject Matter Expertise. This group is designed for this purpose.

Upcoming events (2)

H-Town Showdown - R vs Python Panel Battle it Out!!!

Hello Members, It's on like Donkey Kong!!! Ever wonder if R or Python is the best programming language to use for Data Science? Which is best for Machine Learning? Data Viz? Statistical Analysis? Data Wrangling? Hear from an expert panel on both sides... The winner(s) of this battle, determined by the audience, will get a special prize in the end. Food + Drinks will be provided....sorry, no boxing gloves will be available! I will see you there! Francisco Our event sponsor is Flatiron School; please check out their website below and their new offering to Houston --> Data Science Immersive. https://flatironschool.com/career-courses/data-science-bootcamp/houston/ https://flatironschool.com/campuses/houston/

Datastax - The Edge of Exploration & Graph Databases for Data Scientists

Hello, Joins us for the great Meetup from Datastax! We get the pleasure of having TWO SPEAKERS on this one! This Meetup will be held at the new RANCH OFFICE... Houston's latest cowork office space. The Edge of Exploration I report on the design, system integration, and testing of a strategy for the automation of data acquisition, distribution, and processing of seismic data “at the edge”. The solution utilizes inexpensive embedded systems to acquire data from seismic data acquisition systems and insert it into DataStax Enterprise (DSE), powered by Apache Cassandra, to confront the “real-world” constraints of acquiring, distributing, and processing seismic data at the edge. Bio: Frank Sepulveda is a Senior Data Scientist at Pioneer Natural Resources, a Fortune-500 independent oil and gas company, and a geoscience Ph.D. candidate at Baylor University. At work, Sepulveda is responsible for the planning and execution of innovative, business relevant, technology projects that incorporate advanced analytics, “Big Data”, cloud services, and the Internet of Things. In his research, he is responsible for the development of a near real-time seismic exploration and monitoring solution based upon a novel “edge-based” approach. Prior to transitioning to the oil and gas industry, Sepulveda supported the Department of Defense and Intelligence Community for ten years as a field & test engineer, systems engineer, and signal processor. Working out of Fort Hood, Texas he had an opportunity to assist civilian and military personnel engaged in the development of bleeding edge technology in support military and intelligence operations. Intro to Graph Databases for Data Scientists With the rise of graph databases, graphs are no longer just a data structure but a powerful set of capabilities at the persistence layer which data scientists can leverage to accelerate the speed to insight. Unlike the relational world, we can now create graph models that work on 10k records or 10’s of millions of records and do so in real time. In this talk, we will walk someone familiar with building for relational databases through the process of how to start leveraging the power of graph databases. We will talk about what makes a good and bad use case, how to build effective models, and how to prevent your developers and data engineers from pulling their hair out when it goes to production. Bio: Dave Bechberger is a Solution Architect in the Graph Practice at DataStax where he helps customers build large distributed graph backed applications. Prior to that, he was the Chief Architect at Gene by Gene, a genetic genealogy and bioinformatics company, where he worked to migrate their legacy technology stack to modern technologies including heavy use of graph databases and Cassandra. Dave has spent his career engaging in full-stack software development but specializes in building data architectures in complex data domains such as bioinformatics, oil, and gas, supply chain management, etc. He uses his knowledge of graph and other big data technologies to build out highly performant and scalable systems. Dave has previously spoken at a variety of national and international technical conferences including NDC Oslo, NDC London, as well as previous GraphDay conferences in Texas, San Francisco, and Seattle. Dave is the author of the upcoming book from Manning publications: Graph Databases in Action. www.datastax.com www.ranchoffice.com See you there! Francisco

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