DriveScale to Discuss New Software Composable Infrastructure for Flash at 2018 Cloudera Sessions

//DriveScale to Discuss New Software Composable Infrastructure for Flash at 2018 Cloudera Sessions

DriveScale to Discuss New Software Composable Infrastructure for Flash at 2018 Cloudera Sessions

2018-07-10T12:08:27+00:00

SCI Startup to Join Data Professionals in Houston, Mountain View and Toronto  

SUNNYVALE, Calif. – July 10, 2018 –  DriveScale, the leader in delivering Software Composable Infrastructure (SCI) for modern workloads and a 2018 Cool Vendor by Gartner for Cloud Infrastructure,  today announced that it will be participating in three upcoming Cloudera Sessionsevents in Houston, Texas,  Mountain View, California, and Toronto, Canada, where the company will share how its SCI approach for flash can accelerate adoption in cloud infrastructure.

 DriveScale participated in the Cloudera Session in Bostonlast month, where attendees took a deep dive into machine learning, artificial intelligence (AI) and the future of big data analytics. Attendees also learned about how companies are deriving real value from their data.

DriveScale’s SCI technology is the key to unlocking the promise of big data for mainstream enterprises. It is the only solution on the market that allows data center managers to quickly disaggregate compute and storage resources into separate pools and flexibly recombine them together as needed under software control. Its newest innovation, SCI for Flash, helps solve the over-provisioning, flexibility and lifecycle management issues that plague IT teams using flash-based NoSQL databases and similar cloud-native applications.

“It’s exciting to be a part of Cloudera Sessions 2018 and be amongst smart data professionals and like-minded innovators. We sponsored these sessions because at DriveScale, we also believe in the importance of finding real value in your data and accelerating innovation in the cloud,” said Laura Lilyquist, VP of Marketing at DriveScale.

Cloudera Sessions is a premier global event for data professionals by data professionals. Each one-day event features leading industry experts who will share information on production use cases and best practices that will take you on a deep dive into machine learning. They will explore how it’s enabling us to quickly understand patterns in data, make better predictions and use the information to influence business opportunity. Additionally, Cloudera technical experts will lead hands-on breakout sessions on AI, machine learning and advanced analytics.

 Upcoming DriveScale Sponsored Cloudera Sessions:

What: Cloudera Sessions Houston

 When & Where:  July 12, 2018 | Hotel Sorella, 800 Sorella Ct, Houston, TX 77024

 What: Cloudera Sessions Mountain View 

When & Where: August 14, 2018 | Computer History Museum, 1401 N Shoreline Blvd, Mountain View, CA 94043

What: Cloudera Sessions Toronto

When & Where: October 23, 2018 | St. Lawrence Centre for the Arts, 27 Front St E, Toronto, ON M5E 1B4, Canada

About DriveScale

DriveScale is the leader in Software Composable Infrastructure for modern workloads. Our innovative data center solution empowers IT to disaggregate compute and storage resources and quickly and easily recompose them to meet the needs of the business. Enterprises can respond faster to changing application environments, maximize the efficiency of their assets, and save on equipment and operating expenses. DriveScale supports modern workloads such as Hadoop, Spark, Kafka, NoSQL, Cassandra, Docker, Kubernetes and other distributed applications at a fraction of the cost of alternative platforms. DriveScale, based in Sunnyvale, CA, is founded by technologists with deep roots in IT architecture that built enterprise-class systems for Cisco and Sun Microsystems. Investors include Pelion Venture Partners, Nautilus Venture Partners and Ingrasys, a wholly owned subsidiary of Foxconn. Visit www.drivescale.com or follow us on Twitter at @DriveScale_Inc.

Media Contact
Jocelynn Stidham
Bhava Communications
(703) 863-1277
drivescale@bhavacom.com

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