Data Platforms 2017 Expands Speaker Line Up
Cloud leaders Amazon Web Services, Microsoft and Oracle join data innovators from Autodesk, Capital One, Fanatics and Under Armour
SANTA CLARA, CA–(Marketwired – May 16, 2017) – Data Platforms 2017, the first industry conference focused exclusively on helping data teams build modern, self-service big data platforms, today announced an expanded speaker lineup. New speakers at the conference include luminaries from Amazon Web Services, Microsoft and Oracle, and data team leaders and engineers from Autodesk, Capital One, Epic Games, Fanatics, PayU and Under Armour.
“Advancements in technology have created new opportunities for companies to take advantage of data, yet many still struggle to build their own big data platform,” said Ashish Thusoo, co-founder and CEO of Qubole. “Because of these transformation hurdles, there was a clear need for the creation of Data Platforms 2017, which is the only industry conference that provides how-to advice for those looking to design their own data platform. We’re proud to join the best and brightest in the industry as we share how to turn your organization into a data-driven enterprise.”
“The growing demand for a self-service data platform has made it difficult for organizations to scale their data teams and initiatives fast enough,” said Joydeep Sen Sarma, co-founder and head of Qubole India. “In order to quickly and effectively provide employees with broad access to data, there’s a need for new technologies and new methods of automating data management. At Data Platforms 2017, we’ll discuss best practices with attendees, who will also have the chance to network with fellow practitioners and hear from major cloud providers.”
Gathering data practitioners and data visionaries, Data Platforms 2017 is the only industry conference that’s dedicated to helping data teams design, build and optimize their data strategies and big data platforms. Speaker highlights include:
- R. David Edelman, former ‘Geek-in-Chief’ and advisor to President Barack Obama, and newly appointed head of MIT’s Project on Technology, the Economy, and National Security, will discuss the future of data, ethical considerations, and the opportunities and responsibilities that data teams have
- Industry visionaries from three of the most powerful cloud service providers will share their views on the future and promise of the next wave of cloud computing, and what opportunities exist for data teams:
– Jeff Barr, Chief Evangelist for Amazon Web Services
– John Alioto, CTO DX Technology Evangelism & Startups, Microsoft
– Bruce Burns, Senior Director of Product Management, Oracle Cloud Platform Group
Several of the authors and contributors to the recently released book, “Creating a Data-Driven Enterprise with DataOps: Insights from Facebook, Uber, LinkedIn, Twitter and eBay,” will also be presenting at Data Platforms 2017. Some of the authors will be signing hardcopies of the book at the conference.
Data Platforms 2017 will take place on May 24 – 26, 2017, at the Wigwam Resort in Phoenix, Arizona. Limited tickets available, click here to register today and discover how to build the modern data platform. To learn more about Data Platforms 2017, register and view the agenda by visiting: www.dataplatforms.com
Qubole, the big-data-as-a-service company is presenting sponsor for Data Platforms 2017. Featured sponsors include O’Reilly, 47 Lining, Amazon Web Services, Bolste, Clarity Insights, DZone, iOLAP, insideBIGDATA, Lyft, Microsoft, Nexla, Oracle and RT Insights.
Qubole is a big data-as-a-service company that provides a fast, easy and reliable path to turn big data into valuable business insights. Qubole’s cloud-based platform addresses the challenges of processing huge volumes of structured and unstructured data. It uses clouds such as Amazon Web Services, Google Compute Engine, Microsoft Azure and Oracle Cloud Platform to help enterprises extract value out of their big data while enabling their operations teams to be nimble and adaptive to their users’ needs. Qubole achieves this through features such as auto-scaled big data clusters and integrated toolsets for data analysts, developers and business users. With more than 500+ PB of data processed every month across its customer base, Qubole’s platform makes enterprises agile with big data.