Hadoopoconomics and Other Forecasted Trends for 2015

Forrester analyst Mike Gualtier has made numerous predictions for Hadoop in the year 2015, primarily that the smart economic sense of Hadoop will inevitably make corporate of this open source big data technology mandatory. Learn what Gualtier’s other predictions are for Hadoop over the year to come.

What is Hadooponomics and What Will It Mean in 2015?

Hadoopoconomics

Hadoop doesn’t break the bank, and that’s a critical selling point.

Hadooponomics is simply the economic sense it makes to adopt Hadoop. Big data is here, and it isn’t going away. Hadoop is simply the only platform for storing and analyzing big data that makes economic sense. Hadoop will also become more important as more business apps are developed for this platform, making it the eventual cornerstone of business technology.

Hadoop is affordable, flexible, and even now offers consistent performance. This will only improve as more developers get on board and improve applications and processes. Hadoop has the ability to scale storage and processing and gives users and developers the ability to access the power of the cloud.

Hadoop is also well suited to harvesting and harnessing both structured and unstructured data by using SQL on Hadoop. SQL conglomerates analytics with business intelligence, and while not yet fully specialized, the adoption by big vendors like Red Hat, VMWare, and Microsoft, assures it will be specialized enough soon enough for full acceptance in 2015.

Why Big Data Analytics Will No Longer Face Talent Shortage

Hadoopoconomics

The talent shortage everyone’s been expecting? Yeah, that may not happen after all.

Until now, Hadoop was seen as overly complex, difficult to grasp, and cumbersome to work with — but the truth is coming out. Hadoop really isn’t that difficult to understand. It’s merely a file system plus a computing platform with Java APIs, all of which the average developer is more than capable of mastering. As teams of developers within enterprises begin to work with Hadoop while filling data lakes and developing MapReduce jobs, they will easily acquire the skills required to leverage Hadoop and Hadoop clusters. This means the looming talent shortage in regards to big data analysis won’t hamper businesses nearly as much as was predicted for the future.

Why High-Priced Big Data Analysts Will No Longer Be Necessary

As these developers master Hadoop skills, CIOs will be happy to realize that high-priced consultants aren’t so necessary after all. Developers working within these enterprises will be able to complete projects faster than any external consultant, because they are intimately familiar with their own data, integration points, apps, and the business as a whole. While Hadoop tools will always be in demand, the need for outside consultants will be reduced and eventually eliminated.

Hadoop and the Full Metal Cloud

Hadoop was developed to work on the bare metal cloud, and that is still where it operates best. The full metal cloud offers all of the power, flexibility, and power of cloud computing, with better performance and significantly less latency. For technology decision makers, Bigstep is the brand of cloud hosting provider that offers the highest-performance public cloud in the world.

In 2015, enterprises will adopt the full metal cloud to maximize the performance of their Hadoop operations.

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