CIO Insight, November 22, 2016
Thanks primarily to the growth of the internet of things (IoT), machine data is expected to account for a huge volume of all data within several years. This influx presents a tremendous opportunity for businesses to analyze their information in real time and gain valuable insights, but CIOs often overlook a major roadblock: Data storage today cannot handle the capacity or the complexity of future machine data. And without fast access to machine data analytics, it is hard to draw insights from growing volumes of data. "To put such information into action, enterprise storage infrastructure must work harder, better, faster and stronger," said Ellen Rubin, CEO and co-founder of ClearSky Data, a storage network provider. Ten years ago, the only solution was to add more boxes to a storage environment. However, simply updating hardware is no longer sufficient. Today, organizations must also leverage cloud services and bridge the gap between on- and off-premise infrastructures. Below are Rubin's tips for avoiding storage setbacks and amplifying the ROI of your machine data.