Stream: Virtual Room 2
Time: 15:00 - 15:45
This topic explores how the responsibilities of DBAs in mainframe environments are transforming with the adoption of modern technologies. As data volumes increase and systems grow more complex, DBAs are leveraging AI-driven tools for predictive maintenance, automated performance tuning, and self-healing systems.
Additionally, cloud integration enables hybrid architectures, allowing for cost-effective storage, real-time analytics, and scalability. This shift also includes the integration of big data platforms, enhanced security measures, and continuous compliance monitoring.
The presentation will highlight both the opportunities and challenges these advancements bring, emphasizing the need for DBAs to evolve their skills and adopt new technologies to maintain performance, security, and efficiency in an increasingly data-driven world.
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I have diverse experience in application development within the banking and telecom sectors, along with a strong background in Quality Assurance Engineering for product development in the IMS area. With a Master’s degree in Data Science and Management, I combine technical expertise with business acumen to deliver innovative solutions. I have a keen eye for identifying gaps between technology and business aspects, enabling me to optimize solutions and drive efficiency across industries.
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