{"id":23,"date":"2017-01-26T17:34:57","date_gmt":"2017-01-26T17:34:57","guid":{"rendered":"http:\/\/www.juansequeda.com\/blog\/?p=23"},"modified":"2017-01-26T21:11:00","modified_gmt":"2017-01-26T21:11:00","slug":"a-data-weekend-in-austin","status":"publish","type":"post","link":"https:\/\/www.juansequeda.com\/blog\/2017\/01\/26\/a-data-weekend-in-austin\/","title":{"rendered":"A Data Weekend in Austin"},"content":{"rendered":"

On the weekend of January 14-15, I attended Data Day Texas<\/a>, Graph Day Texas<\/a> and Data Day Health<\/a>\u00a0in Austin and gave three talks.<\/p>\n

Do I need a Graph Database<\/strong><\/em>: This talk came out of a Q\/A during a happy hour after a talk I gave at a meetup in Seattle. We were discussing when to use a Graph Database? What type of graphs should you use: RDF or Property Graph.<\/p>\n

http:\/\/www.slideshare.net\/juansequeda\/do-i-need-a-graph-database<\/p>\n

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Graph Query Languages<\/strong><\/em>: This talk gave an update on the work we have been doing in the Graph Query Language (GQL) task force at the Linked Data Benchmark Council<\/a> (LDBC). The purpose of the GQL task force is to study query languages specifically for the Property Graph data model because there is a need for a standard syntax and semantics of a query language. One of the main points I was arguing in this talk is the need of a closed language: graphs in, graphs out. One can argue that a reason for\u00a0success of relational databases is because the query language is closed (tables in, tables out). With this principle, queries can be composed (i.e. views!). This\u00a0talk was well received and generated a lot of interesting discussion, specially when Emil Eifrem<\/a>, Neo Technologies’ CEO is in the room. \u00a0An interesting part of the discussion was if we are too early for standardization. Emil stated that we need standardization now because their clients are asking for it. I stated that graph databases today\u00a0are in the mid 1980’s of relational databases, so time is about right to start the discussion. Andrew Donoho<\/a>\u00a0said I was\u00a0too optimistic. He thinks we are in the late 70s and we are too early. I will be giving this talk next week at the Smart Data<\/a> – Graphorum<\/a>\u00a0conference, with some updated material. Special thanks to Marcelo Arenas, Renzo Angles and specially Hannes Voigt for helping me organize these slides.<\/p>\n

Semantic Search Applied to Healthcare<\/strong><\/em>: In this talk, I introduced\u00a0how we are identifying patients who are in need of Left Ventricular Assist Devices (LVADs) using Ultrawrap, the semantic data virtualization technology developed at Capsenta<\/a>. This talk presented a use case with the Ohio State University Wexner Medical Center. Patients are being missed through traditional chart pull methods.\u00a0Our approach has resulted in ~20% increase in detection over previously known population at OSU, which is a mature institution. This talk will also be given at the\u00a0Smart Data<\/a>\u00a0conference.<\/p>\n

Main highlights of the\u00a0conference:<\/p>\n