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 about using Apache Spark machine learning for pattern detection.

Charles Pritchard, a big data expert at Expedia, talks to 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.

Frequently Asked Questions about Data Platforms 2017

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

  • Hear from data pioneers, including Qubole co-founder Joydeep Sen Sarma, on best practices and lessons learned for transforming the enterprise with DataOps.
  • How 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

  • Learn how LinkedIn, Twitter, eBay and Uber harnessed Big Data to write their futures by each building a modern big data platform. Download now.