Stream: New Technologies
Time: 10:00 - 10:45
Business competitiveness depends on an organization’s ability to leverage data. Enterprises still have trouble even accessing their data, especially legacy mainframe data. There are four important steps to building a modern data architecture that’s cost-effective, secure, and future proof. Attend this session to learn the most common challenges of integrating mainframe data:
Data structure
Metadata
Data mapping
Different storage formats
There is currently no attachment for Building Modern Data Architecture with Legacy Data
Charles has a career spanning more than 30 years in IT working for several companies and in various roles as a support engineer, trainer, consultant and currently as a principal sales engineer at Precisely. Since a young age Charles was, and still is, highly interested in state-of-the-art technology in many different areas inside and outside IT. With a strong background in programming, operating systems, networking, database technology and distributed computing he has worked on many data migration and modernisation projects.
Charles has a career spanning more than 30 years in IT working for several companies and in various roles as a support engineer, trainer, consultant and currently as a principal sales engineer at Precisely. Since a young age Charles was, and still is, highly interested in state-of-the-art technology in many different areas inside and outside IT. With a strong background in programming, operating systems, networking, database technology and distributed computing he has worked on many data migration and modernisation projects.