Best DevOps

Leveraging Kubernetes to Fuel Intelligence Everywhere

Source:-aithority.com Way back in 1992 when I was leading development for a shipping company, the Head of Sales forever changed the way I approached using data in our business environment. The request from Sales was simple enough. They needed to provide a breakdown of revenues, costs, largest customers, and some other attributes that could not be answered from any of our existing thousand plus reports. Worse, it would take 2-3 weeks to create a new report. The response from our

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The Power of Crunching Big Data Effectively

Source- insidebigdata.com According to an Accenture study, 79% of enterprise executives agree that companies not embracing big data will lose their competitive edge, with a further 83% affirming that they have pursued big data projects at some point to stay ahead of the curve. Considering that data creation is on track to grow 10-fold by 2025, it’s crucial for companies to be able to process it more quickly, and meaningfully. The expression “big data” is often bandied around in the business and tech

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Containers help move Spark and Hadoop into analytics operations

Source:- techtarget.com Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service. Spark and Hadoop analytics efforts often stumble when teams try to turn small pilot projects into larger operational apps meant for data science teams and business analysts. For many, it is an obstacle in their quest to work with big data. Configuration complexity has sometimes been the stumbling block. A custom-configured prototype built

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