Related Content
 |
The Data Science of Big Data Big data is a science, and luckily, there are plenty of tips out there to help you become a better data scientist, which can also work to make you and your team become more adept at leveraging big data. Read on for some helpful data science takeaways. |
|
 |
November Leaves, New StickyMinds Articles Matt Heusser, the editor of StickyMinds.com, talks about some recent contributions to the site—including articles about methods for changing a workplace culture, how to develop a team of testers, and the future of testing—and about how you can get involved writing for StickyMinds, too. |
|
 |
Personal Kanban—I Think I’m Doing It Wrong A kanban board seems like the perfect way to visualize your tasks and organize priorities. But what happens when the backlog starts to get overwhelming? How do you stop the kanban board from becoming a task board? And how do you account for all the little tasks that weasel their way in every day? |
|
 |
The Project Manager-Business Analyst Relationship: When Roles Collide In some organizations, the project manager and business analyst roles are played by different people, and in others, one person performs both. The two roles require different skill sets, so it's important for both people to collaborate—or for the one person doing both to compartmentalize actions. |
|
 |
In Software Development, Execution Isn’t Everything Where software development is concerned, good execution alone does not ensure a successful product. Even the best execution can’t overcome a terrible idea, a lack of shared expectations, or anything less than a total commitment to achieving excellence. Read on for tips to realize software success. |
|
 |
Is Your Career a Trick or a Treat? Have you ever felt tricked by a job you thought would be a treat? Or have you had a job that was once a treat but turned into a trick because you kept doing it year in, year out? Don't get spooked. Johanna Rothman has some tips about what you can do to turn your job into a treat once more. |
|
 |
Keeping Quality in DevOps In our drive for better quality and productivity, we are coming close to realizing full continuous application lifecycle management. Continuous testing is emerging as a best practice that focuses on developing testing procedures, primarily automated, to meet the need for fast application testing. |
|
 |
Successful Performance Testing Begins at Requirements Discovering performance issues in early builds allows more time to correct the design. By including critical performance-related features and elements earlier, we can take advantage of the incremental nature of the development process to avoid creating engineering in potential performance issues. |
