By Troy Kitch-Oracle on May 25, 2016
Could your security and performance be in jeopardy?
Nearly half (3.2 billion, or 45%) of the seven billion people in the world used the Internet in 2015, according to a BBC news report. If you think all those people generate a huge amount of data (in the form of website visits, clicks, likes, tweets, photos, online transactions, and blog posts), wait for the data explosion that will happen when the Internet of Things (IoT) meets the Internet of People. Gartner, Inc. forecast that there will be twice as many--6.4 billion--Internet-connected gadgets (everything from light bulbs to baby diapers to connected cars) in use worldwide in 2016, up 30 percent from 2015, and will reach over 20 billion by 2020.
Companies of all sizes and in virtually every industry are struggling to manage the exploding amounts of data. To cope with the problem, many organizations are turning to solutions based on Apache Hadoop, the popular open-source software framework for storing and processing massive datasets. But purchasing, deploying, configuring, and fine-tuning a do-it-yourself (DIY) Hadoop cluster to work with your existing infrastructure can be much more challenging than many organizations expect, even if your company has the specialized skills needed to tackle the job.[Read More]