The first conference to focus on DataOps strategy
Join DataOps pioneers from LinkedIn, Facebook, eBay and Twitter and hear how they transformed their businesses into data-driven enterprises, with practical, immediately actionable advice to create a data-driven culture.
Conference Resources
Alexander Sadovsky, director of data science at Oracle, talks to RTInsights.com about using Apache Spark machine learning for pattern detection.
Charles Pritchard, a big data expert at Expedia, talks to RTInsights.com about why trying to analyze big data in the form of CSV and TSV files can be a colossal waste.
Ashish Thusoo, Co-Founder and CEO of Qubole, on the need for a conference that focuses on the subject of building the modern data infrastructure.
Hear from R. David Edelman, President Obama’s “Geek in Chief”; Shrikanth Shankar (LinkedIn); Karthik Ramaswamy (Twitter); Alex Sadovsky (Oracle); Evan Harris (Return Path); Jeff Barr (AWS); and more.
“Data Platforms 2017 brings visionaries, practitioners and partners together, providing actionable advice for data teams who want to create their own next-generation data platform.” – Nik Rouda, Sr. Analyst, ESG
Featured Sessions
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SessionHear from data pioneers, including Qubole co-founder Joydeep Sen Sarma, on best practices and lessons learned for transforming the enterprise with DataOps. -
SessionHow to leverage modern distributed computing frameworks like Spark and managed services like EMR and Qubole to build out production ready, large scale data solutions without an ops team on hand.
Connect with Data Platforms 2017
About Data Platforms 2017
Data Platforms 2017 is the first industry conference focused exclusively on helping data teams build a modern data platform. It is organized by Qubole, a big data-as-a-service company that provides data teams with self-service solutions that help enterprises get valuable business insights.
Learn more about the conference and register at Data Platforms 2017.
Can’t make the conference? Read the book
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Learn how LinkedIn, Twitter, eBay and Uber harnessed Big Data to write their futures by each building a modern big data platform. Download now.