Session title: Data Virtualization and Project Queryplex
Session abstract: Regardless of the industry, data has become a fundamental driver in today’s business decisions. Businesses pivot and remain competitive based on the analytics performed on that data. Increasingly that data comes from more and more sources, its volume is increasing at an exponential rate, and need for insight is increasingly real-time.Data is dispersed in silos across the enterprise, derived from external sources, and increasingly coming from remote locations or devices that are internet connected. And as the number of data sources increase, that data becomes increasingly heterogeneous in nature. To date the physics have required complex data architectures where data is copied, moved and replicated to satisfy the analytics needs of business users. This has resulted in increased cost and complexity, loss of data integrity and accuracy, and governance headaches. Data Virtualization is a means of avoiding needless copying and moving of data to perform analytics. Instead analytics are performed real-time on the data where it resides, and both physical structure and location are made irrelevant to users through virtual views. IBM’s Project Queryplex has been in-progress now for a couple of years, and it is a game changing breakthrough in Data Virtualization. The technology has been in a beta trial period since early 2018, and the first GA of the technology will form the Data Virtualization capability within the IBM Cloud Private for Data platform in November. Subsequently this technology will replace existing Federation technology across IBM’s Hybrid Data Management product line. This session will overview the Data Virtualization problem domain, Project Queryplex, the release roadmap, a live demo, followed by Q&A.
Speaker biography: Dave Williamson leads Business Development for Emerging Analytics Technology (including Data Virtualization). Dave joined IBM in 2011 and has over 35 years of experience in the Software Industry. He has held a number of Sales leadership roles in IBM Canada and at the IBM North America level, and has been in the Analytics organization since 2014. He holds a degree in Computer Science and Statistics, and started his career in software development of mission critical systems for air-traffic control, aerospace and telecommunications. Prior to IBM he was the senior Sales and Services executive for several Software startups (leading to both acquisitions and IPOs).