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Making Big Data Agile[article] Big data is defined as web-scale, large quantities of data ranging to several TeraBytes (TB) or PetaBytes (PB). Big data is inherently difficult to manage due to its sheer size and free format, which is best summarized by the three Vs (volume, velocity, and variety). |
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What Makes SaaS, Agile, and DevOps a Powerful Combination?[article] Companies unleash their true potential in today’s ever-changing, constantly evolving world through digital transformation. Implementation of cloud-based Software as a Service (SaaS), when combined with Agile methodology and DevOps, represents a strong value proposition |
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Lessons as a Proxy PO[article] Sometimes a challenge can be turned into an opportunity. When our team learned that the business needed to pull their popular Product Owner to focus on another team, a sense of panic set in. There would be a job search that could and did take months. Who would help the team on their path to creating value in the interim? How would we operate? Over time, what seems to be a negative turn of events was turned upside down. |
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Text Blocks Make Java More Agile [article] A Java architect has often posed the dilemma of whether to revise existing code around a new feature. Revising code involves a lot of code review and code rewriting. Revising existing Java code is justified only if the benefits of a new feature outweigh the effort needed to revise the code. |
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5 Tips to Take Your DevOps Pipeline Beyond the Basics[article] The goal of a DevOps pipeline is to create a continuous workflow that includes the entire application lifecycle. But too often, people focus only on the tools and automating everything, not stopping to think whether their processes could further improve performance and efficiency. Let's look at some common challenges to continuous delivery and then learn five tips for refining your DevOps pipeline and taking it to the next level. |
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