Abstract
Big data is being at the forefront of many ICT-based developments in all spheres of life, be it business, education, or entertainment. Big data is being generated from many diverse sources including social media, Internet of Things (IoT), manufacturing and operations. Big data technologies allow us to take informed decisions from structured or unstructured data. Management and analysis of heterogeneous data generated by various sources brings numerous challenges and diversity in solutions. The aim of this chapter is to discuss different opportunities, issues, and challenges of big data with the main focus on the Hadoop platforms. We provide a detailed survey of opportunities, challenges, and issues of Hadoop-based big data developments in terms of data locality, load balancing, heterogeneity issues, scheduling issues, in-memory computation, multiple query optimizations, and I/O issues. Taxonomy of these challenges and opportunities is also presented.
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