THe HaDooP STaCk : New ParaDIGm for BIG DaTa SToraGe aND ProCeSSING

We are on the verge of the “industrial revolution of Big Data,” which represents the next frontier for innovation, competition, and productivity.[1]. Big data is rich with promise, but equally rife with challenges—it extends beyond traditional structured (or relational) data, including unstructured data of all types; it is not only large in size, but also growing faster than Moore’s law. In this article, we first present the new paradigm (in particular, the Hadoop stack) that is required for big data storage and processing. After that, we describe how to optimize the Hadoop deployment through proven methodologies and tools provided by Intel (such as HiBench and HiTune). Finally, we demonstrate the challenges and possible solutions for real-world big data applications using a case study of an intelligent transportation system (ITS) application.