Two-tier access to a lookup table is the method of choice when your replacement values must come from a specific data range.
Early on, we understood timing, training and mentorship should coalesce to ease the process of onboarding individuals to fill mainframe jobs.
Mainframe agility is now a competitive requirement for enterprises in the accelerating digital economy. Agile provides the development framework for IT organizations to thrive in a fast-paced environment, and Scrum meetings are an indispensable component of that framework.
As technologies of engagement increasingly access systems of record, enterprises would be wise to adopt the mainframe DevOps culture, processes and tools they need to innovate.
Before a lookup table is set up, some thoughts must be given to the method you’ll use for accessing the data lookup table and how replacement rows are retrieved.
There’s no question the mainframe is the most powerful backend data transaction system for enterprises and, yes, our United States government.
These are actions you should take to eliminate common software development bottlenecks. Doing so will help you improve the speed and efficiency of your 2-week COBOL sprint.
Despite the availability, many mainframe shops are unaware modern tools contain improved functionality for aiding COBOL migration strategies and achieving improved performance.
As long as testers are humans, they’ll prefer working with real names. This brings us to data translation (a.k.a. data lookup), another commonly used data disguise technique.
The Pokémon franchise logically mainstreaming its brand for the digital age via Pokémon Go. Mainframe software companies should mainstream the mainframe for the digital age, too.
The streamlined structure, rapid skills development and accountability associated with the Scrum team makes it an ideal technique for achieving mainframe agility.
You need someone who fanatically believes in the benefits of mainframe DevOps and can drive an organization to embrace changes in people, process and technology to achieve those benefits. Enter the mainframe DevOps evangelist.
In light of the ensuing General Data Protection Regulation (GDPR), let’s have a look at common data disguise techniques, taking a closer look at one in particular later on.
With today’s release of ISPW Deploy, Compuware is again equipping large enterprises to achieve mainframe agility and release fresh COBOL code with unprecedented speed and frequency.
In “The Agile Mainframe: Compuware Re-Energizes the Mainframe,” you have the opportunity to read more about how Agile and DevOps processes, modernized development tools, and integrations and partnerships forged with leading mainstream software vendors are transforming the mainframe to be a platform for agility.
When it comes to measuring CICS regions for application performance, analysts need to look at the CICSPlex as a whole as opposed to only looking at the performance of one or a few particular CICS regions.
The end users of disguised data—the testers—in a test data privacy project typically have two objections to how pseudonymization affects test data quality. The first objection is easily handled, but the other must be delicately approached with the right solution.