PPT-ESIP Earth Science Data Analytics (ESDA) Cluster Breakout July 10, 2014 Lead by Steve

July 10 2014 Lead by Steve Kempler Tiffany Mathews Please sign attendance sheet ESDA Cluster Mission reminder Mission To promote a common understanding of the usefulness of and activities that pertain . Dr. Brand Niemann. Director and Senior Data Scientist. Semantic Community. http://semanticommunity.info/. http://www.meetup.com/Federal-Big-Data-Working-Group/. http://semanticommunity.info/Data_Science/Federal_Big_Data_Working_Group_Meetup. Tenneson. Origins Master. 2012. Table of Contents (links). Resolving a dispute. T/B survey data. ID & finely tuned universe. Truth theories. Meaning of . evolution. Punctuated . equilibria. Evidences for evolution. Home and Business. Earth Wind and Fire Energy Summit. Addison Texas. October 4, 2014. Steve Wiese, Clean Energy Associates and Longhorn Solar for the Earth Wind and Fire Energy Summit, October 4, 2014. Authors: Yoane Lopes and Victor . Mudarikwa. Big Data Analytics. Introduction. Authors: Yoane Lopes and Victor . Mudarikwa. Big Data Analytics. What is Big Data?. Authors: Yoane Lopes and Victor . Mudarikwa. Chap 2: Data Analytics Lifecycle. Charles . Tappert. Seidenberg School of CSIS, Pace University. Data Analytics Lifecycle. Data science projects differ from BI projects. More exploratory in nature. Critical to have a project process. Federal Big Data Working Group Meetup. November 3, 2014. Dave Vennergrund. Director Predictive Analytics and Data Science. David.Vennergrund@salienfed.com. 571 766 2757. Salient Data Analytics Center of Excellence. and. Data Management. Stephen D. Ambrose. 1. , Elizabeth Hoy,. 2. Peter Griffith. 3. 1. NASA CISTO Climate Model Data Services (CDS), . 2, 3 . NASA Carbon Cycle and Ecosystems Office. NASA, GSFC Greenbelt, Maryland. ON THE WEB: . AN INITIAL SURVEY. LAURA MARCIAL. MARCIAL@UNC.EDU. BRAD HEMMINGER. 5 March 2010. Rationale. Discussion. Futures. Study. Rationale. Study. Discussion. Future Work. OBJECTIVES. RATIONALE. James Pick and Namchul Shin. 1. Definition of Spatial Big Data. Big Data . are “data sets that are so big they cannot be handled efficiently by common database management systems” (Dasgupta, 2013).. . Chap 11: Adv. Analytics – Tech & Tools:. In-Database Analytics. Charles . Tappert. Seidenberg School of CSIS, Pace University. Chapter Contents. 11.1 SQL Essentials. 11.1.1 Joins. 11.1.2 Set Operations. April 29, 2014. NERSC Data Services . Update and Plans (Draft). - . 1. -. Data intensive science is a growing part of the NERSC workload. - . 2. -. Data intensive science requires different services and expertise.. Three breakouts. : biomass, atmospheric flux, oceans and wet carbon. The breakout sessions are . self-assigned. We will request a . volunteer to be the lead of each breakout session. Each breakout session should . Lead: Abby Benson (USGS). Co-leads: . Diana . LaScala. -Gruenewald (MBARI, . CeNCOOS. ). Robert McGuinn (NOAA Affiliate). Erin Satterthwaite (UCSD, CA Sea Grant). Integrated Ocean Observing System (IOOS) - Earth Science Information Partners (ESIP) Biological Data Standards Workshop. Proposed Bachelor of Science (B.S.) in Business - Analytics Track. Paolo Catasti, PhD, MBA, CSSBB. Teaching . Assistant Professor. Statistics and Analytics. Top Analytics Employers in the Greater Richmond Area.