Big Data Analytics Solutions
Time to be ambitious
When Big Data comes in, it is impossible to ignore. The arrival of Big Data headaches might be heralded by a dramatic degradation in the performance of your analytical tools, or by the sheer inability to hold all the data required for analysis on a single machine. Big Data challenges demand a brand new approach to analytics in order to handle the increasing volume, velocity, and variety of Big Data. This requires the adoption of a distributed computing paradigm. The most popular open-source framework for reliable and scalable distributed computing is Apache™ Hadoop®.
Does this mean that deploying Hadoop is all you need to start analyzing Big Data? Unfortunately, not. Hadoop provides only a framework for the analysis of Big Data, like a network of highways provides a framework for countrywide automobile transportations. However, you need to have a car in order to take advantage of the highway network. Similarly, to take advantage of Hadoop for data analysis, first you need to deploy new tools that can perform advanced analytics on this framework.