Netezza Data Warehousing for Analytical Processing: Ayal Steinberg, IBM

Ayal Steinberg, IBM Business Unit Executive — Big Data, presents the topic of Data Warehousing for Analytical Processing using IBM Netezza. At a Boston, MA educational event hosted NES (New England Systems, Steinberg demonstrates the power of Netezza with case studies of successful applications in a variety of industries, businesses and organizations.

Running Time: 11:49

Ayal is responsible for leading IBM’s Big Data sales in New England and Great Lakes across all industries. He joined IBM after 15 years of sales and business consulting leadership positions at Oracle, JDA Software, and ProfitLogic. Ayal started his career as a strategic planning manager and merchant at Macy’s East and Lord and Taylor. Ayal holds a B.A. in Economics from State University of NY at Binghamton.

Netezza is a purpose-built, standards-based data warehouse that architecturally integrates database, server and storage into a single, easy to manage system. Netezza is designed for rapid analysis of data volumes into the petabytes, delivering 10-100X performance improvements, at one-third the cost of other options available from traditional database vendors.

Netezza pioneered the data warehouse appliance market in 2003 with the Netezza Performance Server (NPS), the world’s first data warehouse appliance. Netezza appliances architecturally integrate database, server and storage into a single, easy to manage system that requires minimal set-up and ongoing administration.
Netezza appliances deliver high performance out of the box, with no indexing or tuning required. As an appliance, all of the integration of hardware, software and storage is done for you, leading to shorter deployment cycles and faster time to value for Business Analytics. Netezza simplifies business analytics dramatically by consolidating all analytic activity in the appliance, right where the data resides. Netezza eliminates complexity at every step to redirect valuable resources to the initiatives that will actually impact the bottom line.