Spark for Data Science

Challenges with big data analytics

There are broadly two types of formidable challenges in the analysis of big data. The first challenge is the requirement for a massive computation platform, and once it is in place, the second challenge is to analyze and make sense out of huge data at scale.

Computational challenges

With the increase in data, the storage requirement for big data also grew more and more. Data management became a cumbersome task. The latency involved in accessing the disk storage due to the seek time became the major bottleneck even though the processing speed of the processor and the frequency of RAM were up to the mark.

Fetching structured and unstructured data from across the gamut of business applications and data silos, consolidating ...