With Orasi launching more public training courses on August 24, we thought it would be interesting to explore how other companies quantify the value of training–and to examine the ROI they receive from it. Most surveys and studies on training effectiveness relate to training in general, or corporate worker training. However, we were pleased to uncover a 2014… Continue reading Orasi Public Training Courses
Year: 2015
Quality Data for Quality Testing
Technology can be an accelerator, but, if not properly tested, it can bring everything to a halt… Software is often intended as an accelerator, to make lives easier while driving up efficiency and efficacy. However, as organizations and individuals come to depend on software more, the greater the impact when it fails. This has been… Continue reading Quality Data for Quality Testing
Grid-Tools Webinar: Quality Data for Quality Testing
We have a natural instinct to improve, automate, and make ourselves more efficient in our daily tasks. Take washing our clothes for an example. For years, washing clothes was a mundane task involving a washboard and hours of manual labour which rarely resulted in a high quality clean. Today, we automate the process using a… Continue reading Grid-Tools Webinar: Quality Data for Quality Testing
Autotrader uses AppDynamics to Solve Performance Issues in Production
There is a common theme among the stories told by our new enterprise customers freshly adopting our AppDynamics platform. As their application grows in scale to meet their customer demands, their time to diagnose performance issues were painfully increasing, too. Operations and development teams slowly seemed to come to accept an untrue reality that solving… Continue reading Autotrader uses AppDynamics to Solve Performance Issues in Production
Cover the Data Coverage Gap with Data Scripting in GT Datamaker
Talking about testing, most of the time we are used to working with sets of data that will be used over and over again. Then a refresh comes to the environment, and again we will have the same data, maybe some changes or addition will come but it will be the same. Most of the… Continue reading Cover the Data Coverage Gap with Data Scripting in GT Datamaker
Test Data Management Maturity Assessment
Test data generation has matured beyond the realm of inputs, as it is described on Wikipedia. Test Data practices must consider the overall quality of the digital assets for a business. The data are not only persistent, they are often the most important IT artifacts for these businesses. With the emphasis on software development in… Continue reading Test Data Management Maturity Assessment
The New Grid-Tools Webinar Series: ‘Lunch and Learn’
Grid-Tools Lunch and Learn webinar series is back by popular demand! Each month we will be hosting a webinar on a variety of different topics, from technical demonstrations to broadcasts which focus on ROI and business benefits. If you would like to be sure that you get the invites to the webinars then click here… Continue reading The New Grid-Tools Webinar Series: ‘Lunch and Learn’
Test Data Management: It’s More than Masking and Subsetting…
Recently, I Googled test data management (TDM). I’m not sure why I was surprised by the results, but I was. The majority of the results on the first page were focused on subsetting and masking from production. This is not the whole picture. Why is subsetting and masking not the only answer? Production copies will… Continue reading Test Data Management: It’s More than Masking and Subsetting…
Database Virtualization with Delphix
There are all sorts of issues trying to get the right data to the correct people, in a timely manner. For different tests during the different phases, there is a new solution that could help you with that. Delphix is a tool which virtualizes databases and files, keeps track of the changes, and lets you… Continue reading Database Virtualization with Delphix
Implementing Federated Views for Data Matching
Introduction In general terms, the Test Data Matching process finds existing information in our database systems, mostly in production environments, which will be very useful for finding efficient and accurate test data. At the same time, it helps us save time and effort in creating new information from scratch. Several systems have been designed to… Continue reading Implementing Federated Views for Data Matching