We are pleased to announce speakers, titles and presentation descriptions for our 7/24 Meetup.
Presentation #1: SSDs & Databases -- What Users Think
Description: Database applications have become a key user of SSDs. Why is this? What does it mean to database admins? Objective Analysis and Coughlin Associates performed a survey over the past several months in which nearly 200 respondents told us about their storage needs. 40% of these users listed database programs as their main application, and these respondents shared their thoughts on speed and performance needs. In this presentation, Jim Handy will discuss this part of our survey and of the reason that SSDs are so useful in database applications.
Presenter: Jim Handy of Objective Analysis is a 35 year semiconductor industry executive and a leading industry analyst. Following marketing and design positions at Intel, National Semiconductor, and Infineon he became known for his technical depth, accurate forecasts, industry presence, and numerous market reports, articles, white papers, and quotes. He writes the Chip Talk blog for Forbes, www.TheMemoryGuy.com, and www.TheSSDguy.com.
Presentation #2: Flash Acceleration of Database Workloads
Description: Data-sets are getting larger, and customer expectations are getting higher about rapid time-to-results for database queries and analytics. Customers can leverage flash solid-state drives (SSDs) to improve performance for their database and related analytics workloads – and to reduce latency that slows job completion. This presentation will include the results of benchmark tests that demonstrate the ways in which flash can accelerate database processing.
Presenter: Jean Bozman has more than 20 years of experience in Enterprise IT, server and software technology. She has analyzed, and written about IT deployments in datacenters worldwide, focusing on enterprise servers, applications and databases. She frequently writes about the megatrends of Cloud Computing and Big Data as they transform enterprise adoption of new technologies.
In her role at SanDisk, Jean drives the discussion of enterprise workloads that leverage flash memory solid-state disks (SSDs). This includes describing the adoption model for flash technologies – and writing about customer deployments of flash to run mission-critical workloads and performance-sensitive applications.
Jean came to SanDisk from IDC, where she was Research Vice President of IDC’s Enterprise Platforms group. In that role, she analyzed the worldwide markets for servers and high availability software.
We look forward to seeing you there.
Presentation #3: Software-Defined Storage + Flash = Low Latency Disruption?
For those of us in the storage business, we’re seeing disruption in pretty much all segments. All SAS Flash. PCIe Flash. Hybrid. All HDDs. Ethernet connected drives. Scale Out / shared nothing Object stores. Cloud. Hybrid clouds. Hyper-converged. And Software-Defined solutions. Software-Defined Storage changes the economics of storage, enabling customers to truly benefit from industry standard hardware and avoid margin stacking from ‘box’ vendors. SDS started with Tier 2 and Tier 3 workloads. What will it mean to deliver SDS for all Flash configurations?
Presenter: Thomas Cornely is currently Chief Product Officer at Nexenta, Global Leader in Software-Defined Storage. Thomas joined Nexenta in February 2014 and has over 15 years of experience building and running hardware and software product teams in infrastructure companies in the high-speed networking, Big Data and storage industries. At Nexenta, Thomas is responsible for all aspects of product management and product delivery, including portfolio management, technology strategy, product definition and lifecycle management. Prior to Nexenta, Thomas held senior management positions at Violin Memory where he focused on high performance, extremely low latency, all flash arrays and EMC Greenplum where he was instrumental in bringing to market the industry’s first unified analytics appliances combining Greenplum's high performance scale out database with Hadoop.