In-Memory Architectures for Current Workloads and the Future of Processing

Leading platforms will undoubtedly be In-Memory over the next 5-10 years. Be prepared. A fair question for any CIO in any organization large or small is “Are we exploiting In-memory processing?” If not, why not? If the business is incapable of capitalizing on the benefits, that might be an area worth improving. If you can achieve an order of magnitude improvement in transactional speed or value-added quality, market share is not far behind. No IT professional is over-educated in what will be the corporate standard for data in the near future. Areas Covered in the Session:

In-Memory Computing Defined
Factors Driving In-Memory Now
Processors and Servers
Busting In-Memory Myths
In-Memory Computing Options and Products
Example in-Memory Systems: SAP HANA, Teradata
NewSQL Approaches
The Power of Performance
Case Studies

Who will benefit:

CIO
Information Architects
Data warehouse architects, designers, developers, and administrators
Data management staff; program and project managers; center of excellence staff; application developers; IT architects
Managers who want to understand the purchases their staff are recommending
DBAs

William McKnight is President of McKnight Consulting Group (www.mcknightcg.com). He is an internationally recognized authority in information management. His consulting work has included many of the Global 2000 and numerous mid-market companies. His teams have won several best practice competitions for their implementations, and many of his clients have gone public with their success stories. His strategies form the information management plan for leading companies in various industries. William is author of several books including “Integrating Hadoop" and “Information Management: Strategies for Gaining a Competitive Advantage with Data." He has authored benchmarks on Hadoop and Cloud Databases and published the GigaOM Sector Roadmap on Analytic Cloud Databases. He has published over 25 white papers, and his blog has been syndicated for many years. William is a very popular speaker worldwide, having given well over 100 days of training on diverse data subjects NoSQL, Graph Databases, Data Governance, Data Architecture, Data Return on Investment, Agile Methodology, Organizational Change Management, and Master Data Management. William is a mentor in information for a startup accelerator. William has taught at Santa Clara University, UC-Berkeley, and UC-Santa Cruz, and has consulted in over a dozen countries. He provides clients with strategies, architectures, platform and tool selection, and complete programs to excel with information.