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Challenges Faced With Big Data

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IV. CHALLENGES WITH BIG DATA Already some success is achieved from big data in some fields like Sloan digital sky survey so it’s mean there is some potential in big data and benefits are also real but still some challenges like scalability, heterogeneity, integration, privacy, security etc. need to be addressed for realizing full potential of big data. One of the major challenge is transformation of unstructured data to structured form for accurate and timely processing. Challenges with big data starts with very first phase of big data analysis pipeline that is data acquisition phase. It’s a challenging task to determine what data to keep, what to discard and how to efficiently store the data. Other challenges are faced in data cleaning, integration and data analysis phase of big data analysis pipeline. Few major challenges of big data are as below: Short of efficient tools and techniques for safely organizing large-scale data and distributed data sets. Both companies and law enforcement agencies increasingly rely on video data for surveillance and criminal investigation. Closed-circuit television (CCTV) is ubiquitous in many commercial buildings and public spaces. Police cars have cameras to record pursuits and traffic stops, as well as dashcams for complaint handling. Many agencies are now experimenting with body-worn video cameras to record incidents and gather direct evidence from a crime scene for use in court, obviating the need for eyewitness versions of events.

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