Aug 21 / 2024 / 2:00 pm - 3:00 pm EDT
As organizations continue to generate and store more and more data, the cost and complexity of moving that data around continues to increase. And data is constantly on the move. From production systems to test systems, from one test system to another, and even from user to user. All that data is required for multiple purposes, such as supporting transactional systems, mirroring production, reporting, performing analytics, for testing purposes, training, and more. And data is being moved around more frequently than ever before to support business requirements and changing technology needs such as agile development and DevOps. How can your company support this myriad of data movement requirements without overworking your DBAs? And how can you satisfy the legitimate need to move, copy, and refresh data without incurring significant costs? Not to mention the long runtimes required to unload and load large tables using Db2 utilities? And all of this movement has to happen while production systems remain online, because nothing gets put on hold just so you can copy data or move it around.
Attend this webinar to learn more about these issues as well as a customer use case showing significant cost savings. Additionally, Craig will offer his insight into using BCV5 based on consulting engagements where he had the opportunity to implement and use BCV5 to optimize data movement in Db2 for z/OS.
This webinar will be presented by Craig S. Mullins, president and principal consultant of Mullins Consulting, where he focuses on data management strategy and consulting. He has been named by IBM as a Db2 Gold Consultant and an IBM Champion for Data and AI, as well as an Influential Mainframer by Planet Mainframe. He writes the monthly DBA Corner column for Database Trends & Applications magazine. And he has used BCV5 at a several clients during recent consulting engagements. Craig has over three decades of experience in all facets of database systems development and has worked with DB2 for z/OS since V1.
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