SANTA CLARA, Calif. – July 14, 2020 – <a href="https://www.datastax.com/">DataStax</a> today announced the return of <a href="https://www.datastax.com/accelerate">Accelerate: A NoSQL Original Series</a> on Tuesday, July 21 at 9:00 a.m. PT with four new episodes. The season one episodes explore how users and enterprises are using Apache Cassandra™ and open-source tools to build powerful cloud-native applications.&nbsp;

The new installment kicks off with a conversation between DataStax Co-founder and Chief Technology Officer Jonathan Ellis and DataStax Chief Product Officer Ed Anuff, who explore how Cassandra has changed throughout its 12-year history and why it’s uniquely positioned to serve as the modern database for the future.

Accelerate is a combination of livestreams and on-demand episodes that are available for free. Tune in to find out how Cassandra has evolved over the years and why the NoSQL, open-source database is increasingly used to build scalable, cloud-native applications.&nbsp;

<a href="https://www.datastax.com/accelerate#form">Sign up today</a> to make sure you don’t miss an episode!&nbsp;&nbsp;

What: Accelerate: A NoSQL Original Series

Ep. 10 | The Road to Cloud-Native: Cassandra Then and Now

Streaming live on Tuesday, July 21

Join DataStax Co-founder and CTO Jonathan Ellis as he highlights the evolution of Cassandra since its inception 12 years ago, bringing in DataStax Chief Product Officer Ed Anuff to discuss how Cassandra makes building modern, cloud-native applications easier than ever before.

Ep. 11 | Cassandra 4.0: Better, Faster, Stronger

Streaming live on Tuesday, July 21

A panel of key players will discuss the past struggles and successes with Cassandra and how Cassandra 4.0 will give modern developers a reliable, scale-out solution for building cloud-native applications.

Ep. 12&nbsp;| The Shape of Your Data

Available on-demand on Tuesday, July 21

Cassandra is powerful, but having a well-designed data model is critical when it comes to meeting applications performance and scalability goals. Learn the secrets to building successful, cloud-native applications as we travel through the past, present, and future of data modeling.

Who:

<ul>
	<li>Jonathan Ellis, Co-founder and CTO, DataStax</li>
	<li>Ed Anuff, Chief Product Officer, DataStax</li>
	<li>Helena Edelson, Scientist and Researcher, former Principal Engineer; Affiliation: OSS committer to many C* related projects, International speaker</li>
	<li>Josh McKenzie, Head of Open-Source Strategy, DataStax</li>
	<li>Alice Lottini, Vanguard Architect, DataStax</li>
	<li>Stacie Riddle, Tech Lead, Data Platform, Pantheon</li>
	<li>Amanda Moran, Apache Cassandra Advocate</li>
	<li>Patrick Callaghan, VP Global Partners Technology, DataStax</li>
	<li>Patricia Gorla, Solutions Architect, DataStax</li>
	<li>Patrick McFadin, VP Developer Relations, DataStax</li>
</ul>

&nbsp;

Why: Find out how leading organizations are using Cassandra to build cloud-native applications.

When: Tuesday, July 21, 2020 | 9 a.m. PDT / 6 p.m. CET

Where: Right where you’re sitting. Sign up at <a href="https://www.datastax.com/accelerate">datastax.com/accelerate</a>.

Resources: 
Video: <a href="https://www.datastax.com/accelerate/a-leadership-vision-of-data-driven-enterprises-now-and-in-the-future">Ep. 1 | A Leadership Vision of Data-Driven Enterprises Now and in the Future</a> 
Video: <a href="https://www.datastax.com/accelerate/2-years-of-transformation-in-2-months-the-data-firehose">Ep. 2 | 2 Years of Transformation in 2 Months: The Data Firehose</a> 
Video: <a href="https://www.datastax.com/accelerate/your-next-dell-shopping-experience-a-modernization-story">Ep. 3 | Your Next Dell Shopping Experience: A Modernization Story</a> 
Video: <a href="https://www.datastax.com/accelerate/why-tomorrows-cassandra-deployments-will-be-on-kubernetes">Ep. 4 | Why Tomorrow’s Cassandra Deployments Will Be on Kubernetes</a> 
Video: <a href="https://www.datastax.com/accelerate/data-driven-differentiation-at-un-carrier-speed">Ep. 5 | Data-Driven Differentiation at Un-carrier Speed</a> 
Video: <a href="https://www.datastax.com/accelerate/the-coming-decade-of-data-cloud-native-open-source-and-collaborative">Ep. 6 | The Coming Decade of Data: Cloud-Native, Open Source, and Collaborative</a> 
Video: <a href="https://www.datastax.com/accelerate/a-developers-journey-from-zero-to-superhero">Ep. 7 | A Developer’s Journey from Zero to Superhero</a> 
Video: <a href="https://www.datastax.com/accelerate/race-to-scale">Ep. 8 | Race to Scale</a> 
Video: <a href="https://www.datastax.com/accelerate/pour-mon-amie-cassandra-made-easy">Ep. 9 | Pour Mon Amie: Cassandra Made Easy</a> 
Blog: <a href="https://www.datastax.com/blog/2020/05/accelerate-nosql-original-series-premieres-may-12">Accelerate - A NoSQL Original Series Premieres May 12</a> 
Media Alert: <a href="https://www.datastax.com/press-release/datastax-accelerate-nosql-original-series-premieres-may-12">DataStax Accelerate: A NoSQL Original Series Premieres May 12</a> 
Media Alert: <a href="https://www.datastax.com/press-release/t-mobile-cio-cody-sanford-headlines-second-installment-accelerate-nosql-original">T-Mobile CIO Cody Sanford Headlines Second Installment of DataStax ‘Accelerate: A NoSQL Original Series'</a>

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, Macy’s, McDonald’s, Safeway, Sony, and Walmart use DataStax to build transformational data architectures for real-world outcomes. For more, visit DataStax.com and @DataStax.

© 2020 DataStax, All Rights Reserved. DataStax, Titan, and TitanDB are registered trademarks of DataStax, Inc.and its subsidiaries in the United States and/or other countries.

Apache, Apache Cassandra, and Cassandra are either registered trademarks or trademarks of the Apache Software Foundation or its subsidiaries in Canada, the United States, and/or other countries.

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