Summary
In this chapter, we have discussed various aspects of the Big Data technology landscape. We have talked about the terminology, definitions, acronyms, components, and infrastructure used in context with Big Data. We have also described the architecture of a Big Data analytical platform. Further on in the chapter, we also discussed the various computational methodologies starting from sequential, to batch, to distributed, and then arrived at real time. At the end of this chapter, we are sure that our readers are now well acquainted with Big Data and its characteristics.
In the next chapter, we will embark on our journey towards the real-time technology—Storm—and will see how it fits well in the arena of real-time analytics platforms.
