Click to learn more about author Mark Marinelli. Most of you have heard the term DevOps, which refers to a popular practice where development and operations teams work together to deliver applications faster. It’s time we bring that same notion to the data world with DataOps so that we can achieve agile data mastering: Agile […]
Three Strategies to Ease the SDLC Burden on Your QA Team
Click to learn more about author Drew Horn. Speed kills. And for most aspects of your software development lifecycle (SDLC), that’s a good thing. Agile, unsurprisingly, is the methodology of choice to increase the rate of development and release velocity. But speed can quickly become an issue for your QA team. As fast as you’d […]
Machine Learning at the Center of Quality Data Integration
Machine learning, as we know, isn’t magic, though it may seem that way sometimes. But it can be at the center of enterprise data integration and cross-domain Master Data Management efforts that may deliver millions of dollars in cost savings and other benefits. In the case of large organizations that have gone through multiple acquisitions, […]
The Complete Guide to Cloud Database Management and Migration
Click to learn more about author Gilad David Maayan. Cloud computing is the force behind many successful services, offering companies computing resources at scale. A veteran cloud service leveraged by many IT organizations is the Database as a Service (DBaaS). Database management can be a complex and expensive operation. Agile-minded and DevOps teams aren’t happy […]
Kicking Off Your Test Automation Trajectory
Click to learn more about author Drew Horn. This is part one of a three-part series on introducing and building test automation into your application development and deployment pipeline. In order to move more quickly and efficiently – while simultaneously saving on costs – many companies are starting to embrace test automation. In fact, in […]
The Three Pillars of Agile Data Mastering
Click to learn more about author Mark Marinelli. We’ve explored the benefits of an agile data mastering approach in a previous post, but let’s do a quick recap: Many businesses that collect a large amount of data have an accumulating data mastering issue that leaves their data largely untouchable and riddled with inaccuracies. The problem […]
Five Trends in Data and Software Development to Ensure Data-Driven Flexibility and Success
Click to learn more about author Jeff Keyes. Businesses across multiple industries and sectors are finding themselves delivering more and more software releases at a greater rate than ever before. There is now more technology in existence that requires updates to be rolled out continuously – and at very short notice should a complex issue […]
The Key to the Cloud is Agility
Click to learn more about author Derrin Rummelt. In the technology industry, when you say “agile,” a variety of definitions and instances will come to mind. “Agile” is typically marked by a ready ability to move with quick, easy grace; having a quick resourceful and adaptable character, nimble, having dexterity. That definition fits the Cloud. […]
Don’t Throw Requirements and Documentation Out with the ALM Bathwater
Click to learn more about author David Binny. The Agile revolution effectively overhauled the traditional waterfall/V-shaped process, purging the new methodology of any semblance of the old. In the Agile world, action trumps process, and it’s often thought that the old ways of requirements and documentation carry more burden than benefit. Today, user stories, a leaner, […]
Ad Hoc Analysis: The Limits of Self-service BI
Click to learn more about author Matthew Gierc. Self-service BI. Ad hoc analysis. Exploratory data analysis. This is the holy grail that companies are looking for, right? At least that’s what the BI dashboard vendors are telling us. But do these tools really help organizations? In the short-term, yes. But the long-term effects of repeated Ad […]