With data volumes and types increasing exponentially, better architectural design for data storage and software that enables the analysis of complex data in parallel is changing the playing field for data-intensive enterprises. We are now entering a new era of big scale, where high-volume, low-cost computing and open source software has enabled data to be analyzed in an iterative, exploratory way. Staying competitive in this new game depends on better business insights and getting the information to the right people, at the right time to help them make better business decisions.
No doubt you’re asking questions like, “How can I…”
For CIOs and business managers, Hadoop is a critical new platform for the data-driven enterprise. The analysis of large amounts of complex, disparate data to recognize patterns and understand and predict behaviors is too costly and time-consuming for traditional datacenters.
Today, more and more data is unstructured and a low-cost computing infrastructure coupled with open-source Hadoop software provides a proven pathway to the analysis of complex, unstructured data – and limitless ways to analyze it to improve decision-making
The evolving nature of large, unstructured data effects how organizations capture and store it and demands a new approach. Low cost, HDFS storage with Hadoop enables the data to be stored easily in its native format and processed and analyzed in limitless, exploratory ways. Questions about data from a variety of sources, in a wide spectrum of structures, can be answered to yield entirely new questions and potential business advantages. Faster results mean more questions can be asked, and the low cost of the technologies means businesses can now afford to ask the questions that may become game changers for their business.
In-depth discussions with our teams about your objectives and strategy will help determine which use cases will be the most significant impact on your business and decision making.
More detail on our Big Data Professional Services