DIY vs. fully integrated Hadoop – What’s best for your organization?

This vendor-written tech primer has been edited by Network World to eliminate product promotion, but readers should note it will likely favor the submitter’s approach.You don’t have to look far to see the amazing things that organizations are doing with big data technology: pulling information from past transactions, social media and other sources to develop 360-degree views of their customers. Analyzing thousands of processes to identify causes of breakdowns and inefficiencies. Bringing together disparate data sources to uncover connections that were never recognized before. All of these innovations, and many more, are possible when you can collect information from across your organization and apply data science to it. But if you’re ready to make the jump to big data, you face a stark choice: should you use a pre-integrated “out-of-the-box” platform? Or should you download open-source Hadoop software and build your own?To read this article in full or to leave a comment, please click here

DIY vs. fully integrated Hadoop – What’s best for your organization?