Will ramp quickly
Not even close
Best Argument: Not even close
Audience Favored: Not even close (56%)
Will ramp quicklyLarry Dignan: Big data is being piloted in large enterprise settings with Hadoop clusters, connections to data warehousing and other plumbing being hooked up. In other words, big data is already happening in the enterprise, but it is admittedly early. I'm betting that adoption will ramp quickly because enterprises---already drowning in data---will need big data to make sense of internal information flows. Everything from fraud detection to network maintenance to sensor data to customer service will be touched. Once real ROI is achieved---and I've seen a handful of business cases up close---every corporation will want on the bandwagon. The only real limitation will be talent.
In the end, enterprises will have a data fabric with Hadoop, analytics and data warehousing information. Many of those parts are already in place.
Not even closeAndrew Brust: Big data technology is exciting, innovative and genuinely powerful. It can absolutely take Enterprise analytics to the next level...but not yet.
In Global 1000 organizations, and numerous smaller companies, skill sets and best-practices have been building for years around Business Intelligence (BI) technology and for decades around relational database management systems (RDBMSes). The products in these categories have superior tooling, manageability and fault tolerance. They offer user interfaces designed for non-developers. They are repositories for carefully crafted data models, refined over the years, representing unparalleled investment.
Meanwhile, Hadoop is typically used at the command line, controlled by MapReduce code that must be written in Java, using a file system (HDFS) controlled by a single, vulnerable name node. Some browser-based tooling is emerging and technologies like Hive provide a primitive connection layer for BI tools, but we’re still at a 1990s-era level of sophistication. This stuff is not enterprise-ready yet. It’s not even close.