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Collaborating with a Highly Distributed Team Being distributed can cause challenges for team collaboration, such as insufficient communication and a lack of visibility. However, advancements in tools, technology, and best practices have helped to lessen some of those challenges. Here are four ways to make collaborating with distributed teams more seamless. |
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When Customers Attack: Dealing with Rude Clients It seems like the only way some customers know how to communicate is to accuse, complain, and verbally attack. This only gets worse if there are delays. But when you do your best to build trust with customers early on, they are more likely to accept explanations about setbacks, even if they don’t fully understand them. |
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When to Use MapReduce with Big Data MapReduce is a programming model for distributed computation on big data sets in parallel. It's a module in the Apache Hadoop open source ecosystem, and a range of queries may be done based on the algorithms available. Here's when it's suitable (and not suitable) to use MapReduce for generating and processing data. |
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2 Ways to Know Your Work Is Actually Done Some people think a good indication that a piece of work is done is if it's been tested. But by whom, and how? Testing alone doesn’t specifically determine whether you are done—especially when we probably don’t mean the same thing when we all talk about testing. Here are two ways to know when your work is truly done. |
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4 Tips to Refocus Stale Standups The daily standup is supposed to get everyone on the same page and make teams more productive and efficient. But it’s easy for this short meeting to become stale and stop providing any real benefit. Here are four ways to get out of the slump of merely delivering status updates and re-energize your daily standups. |
