Is your company struggling to keep up with unprecedented data growth? If so, you’re not alone. The amount of data managed by enterprise datacenters is expected to explode by a factor of 50 over the coming decade. This phenomenal growth presents CIOs and their teams with more challenges than just how to store and manage all that data. They have to help their organizations find the nuggets of data that will provide business value.
Data appears to have officially taken center stage within the enterprise, and for good reason. Organizations now view data as an asset. CIOs rank data growth as their top concern, and making sense of all that data as their top priority, according to the Gartner CIO Agenda 2012.
Those CIOs have to build out data strategies that support virtually unlimited storage scalability, leveraging physical, virtual, and cloud-based storage resources, while efficiently delivering a mix of structured, semi-structured, and unstructured data to big data applications.
In this webinar, attendees will learn more about how their organizations can:
Become more agile so they can solve problems faster
Dramatically lower IT costs
Drive innovation with open-source, cloud-based storage
Simplify storage management
Improve business continuity and disaster recovery
Join Big Data Republic editor Saul Sherry and Scott Clinton, senior director for Product Management and Marketing in Red Hat Inc.'s Storage Business Unit as they discuss how your organization can achieve these goals with the assistance of The Five Must-Haves of Big Data Storage.
Scott Clinton, Sr. Director Product and Program Marketing, Storage Business Unit, Red Hat Inc.
Scott Clinton leads product management and product marketing for the Storage Business Unit at Red Hat. With more than 15 years’ experience in the IT industry, he is responsible for the overall product direction and marketing strategy and execution for Red Hat’s storage software portfolio. Prior to Red Hat, Scott held management positions at Fortune 500 companies, including EMC and Sun Microsystems, where he successfully led the strategic marketing, business development, and product management functions. He holds a bachelor’s degree in computer systems design and international business from San Jose State University.
Saul Sherry, Editor in Chief, Big Data Republic
Saul Sherry is Editor of Big Data Republic. He originally hails from the first-rate county of Leicestershire in England and currently plies his trade in that nation's capital. He is particularly interested in the ways big-data can reveal to us the intelligence that lurks below the surface of the everyday, and how we can use this to improve lives. When not writing about big-data (or looking for excellent minds to do the same) he can normally be found deafening himself in one of London's fine live music venues. Other weekly highlights involve dragging himself around Clissold Park and buying books based solely on their covers. If you have questions about Big Data Republic, or want to inquire about being a moderator or a blogger, please feel free to email: firstname.lastname@example.org.
Stan Swete, Chief Technology Officer, Workday
Stan Swete is chief technology officer at Workday and is responsible for Workday's overall technology strategy, direction, and execution.
Prior to Workday, Stan spent 10 years at PeopleSoft in a number of key leadership roles, including head of the products and technology organization that included more than 4,000 employees. He was also manager of tools development, general manager of financial applications, general manager of CRM, and was responsible for the initial release of PeopleSoft's Internet architecture. Prior to PeopleSoft, Stan spent 10 years with ASK Computer Systems, including management of ASK's VAX product line.
Stan holds Bachelor of Science and Master of Science degrees in Industrial Engineering from Stanford University.
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