Most of us come from a background of building or using traditional data warehousing and deploying mainstream BI reporting tools. We are hearing more and more about Big Data, data visualization, the semantic web, unstructured data and advanced analytics. Come hear from several industry leading companies to see how they have embraced the opportunities and challenges these new technologies are bringing upon us and hear about real world solutions being deployed. Meet other local professionals, swap business cards, share ideas, and exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Please see our detailed meeting agenda below.
"Meter Data Analytics"
by Badri Raghavan, CTO & Chief Scientist, FirstFuel, Inc.
The commercial building industry remains hindered by several challenges that limit large-scale energy efficiency: limited customer engagement and targeting tools, limited access to high-quality building information, expensive and time-consuming audits, emphasis on capital-intensive retrofits, and difficulty measuring real efficiency savings, just to name a few. More than ever, stakeholders need comprehensive efficiency approaches to deliver on regulatory mandates, savings targets, and other energy objectives. FirstFuel will demonstrate how they are using their meter data analytics platform to overcome these long-standing barriers to deliver large-scale efficiency across commercial portfolios.
"YarcData: Cray’s Big Data Strategy"
byTom Bourgoin, Segment Director for Life Sciences, YarcData (division of Cray) & Ted Slater, Solutions Architect Life Sciences, YarcData (division of Cray)
This presentation will highlight and share what customers are doing with YarcData’s ability to provide the highest performance processing capabilities and visionary data management resources with Big Data and advanced graph analytics.
Please register at your earliest convenience at the following link: https://tdwi.ps.membersuite.com/events/ViewEvent.aspx?contextID=f8caf206-0078-cf21-701a-0b38a09ef400