Press release

DataStax Accelerate: A NoSQL Original Series Premieres May 12

Sponsored by Businesswire

DataStax today announced the season premiere of Accelerate: A NoSQL Original Series, which kicks off May 12, 2020 with four episodes that explore how today’s enterprises and users are succeeding with NoSQL and Apache Cassandra™ in the new decade of open-source, scale-out, and cloud-native data.

Accelerate: A NoSQL Original Series—a combination of livestreams and on-demand episodes—is free, and you can sign up here.

Click to Tweet: #Accelerate: A NoSQL Original Series explores how enterprises and users are using #NoSQL and #Cassandra. The series kicks off May 12. Sign up to get access:

What: Accelerate: A NoSQL Original Series

Ep. 1 | A Leadership Vision of Data-Driven Enterprises Now and in the Future

Streaming live Tuesday, May 12 at 10:00 am PT

Visionary CIOs have transformed modern data-driven organizations using open-source, scale-out, cloud-native technology; mission-driven innovation; and reliable execution at scale. Learn from DataStax CEO Chet Kapoor about applying key principles of leadership and a strategic approach to technology to inspire change, promote growth, and make a difference.

Ep. 2 | 2 Years of Transformation in 2 Months: The Data Firehose

Streaming live Tuesday, May 12 at 10:30 am PT

The need to deploy, scale, and fail fast in the cloud is more critical than ever. The New Stack’s Alex Williams leads a panel of experts to discuss how users and enterprises are managing the data firehose and the role Cassandra can play as a hybrid database-as-a-service.

Ep. 3 | Your Next Dell Shopping Experience: A Modernization Story

Available on-demand Tuesday, May 12

Dell’s retail modernization team rises to the challenge of delivering a personalized shopping experience at global scale. Lead Architect Prashanth Srinivasan and Sr. Director of Software Engineering Raj Kaimal detail the adoption effort toward a hybrid cloud data architecture, share the impact on both the backend technology and overall business, and provide development best practices to ensure success.

Ep. 4 | Why Tomorrow’s Cassandra Deployments Will Be on Kubernetes

Available on-demand Tuesday, May 12

The 2000s were about figuring out scale-out networking, the 2010s were about figuring out scale-out compute, and the 2020s will be about figuring out scale-out data. Let’s discuss the challenges of cloud-native data and Cassandra’s potential as the data control plane for Kubernetes.


  • Chet Kapoor, CEO, DataStax
  • Ed Anuff, Chief Product Officer, DataStax
  • Robert Reeves, CTO, Datical
  • Tony Baer, Principal, dbInsight
  • Prashanth Srinivasan, Distinguished Engineer, Dell
  • Raj Kaimal, Sr. Director, Software Engineering, Dell
  • Michael Vizard, IT Journalist and Author
  • Alex Williams, Founder, and Editor-in-Chief, The New Stack
  • Alan Gibson, Principal Software Engineer, Sky
  • Toby Cole, Database Reliability Engineering, Yelp
  • Raghavendra Prabhu, Sr. Software Engineer, Yelp

Why: Hear directly from top users and global enterprises on how they’re succeeding with NoSQL and Cassandra. For episodes streaming live, you’ll have the opportunity to engage with our speakers through live Q&As on Twitter, LinkedIn, YouTube, and Facebook.

When: Tuesday, May 12 | 10:00 am PT/1:00 pm ET

Where: Right where you’re sitting. Sign up at


Blog: Accelerate – A NoSQL Original Series Premieres May 12

Blog: Leading with Code for a Better Apache Cassandra and Kubernetes

Webinar: The New DataStax with RedMonk’s Stephen O’Grady

About DataStax

DataStax is the company behind the massively scalable, highly available, cloud-native NoSQL data platform built on Apache Cassandra™. DataStax gives users and enterprises the freedom to run data in any cloud at global scale with zero downtime and zero lock-in. More than 450 of the world’s leading enterprises including Capital One, Cisco, Comcast, Delta Airlines, eBay, Macy’s, McDonald’s, Safeway, Sony, and Walmart use DataStax to build transformational data architectures for real-world outcomes. For more, visit and @DataStax.

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