big data messy
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Big data is messy because it involves combining different types of information from various sources that do not always align perfectly. Messiness also arises when data is extracted and processed since it is being transformed into something else. Additionally, behind every data point is a person, and incorporating people introduces complexity when analyzing big data. Unlocking insights from big data requires accounting for human behaviors and perspectives that complicate analyses.
big data messy
- 1. BIG DATA- MESSY Presented by: Ravi Kumar 14609132 Aishwarya Alagh 14609116 15 November 2015 Big Data
- 2. Using All Available Data • It is feasible in an increasing number of contexts. But it comes at a cost. • Data is fluid, huge, powerful, unpredictable, uncontrollable and not a scare resource. • The abundance of data is the result of the instrumentalisation of the natural, industrial and social worlds. • A key point about the reality of big data: behind every data point is a person, and when people get mixed up with technology and analytics, things get messy. • So unlocking big data through smart systems have to account for the very human, very messy Big Ideas that sometimes complicate things. 5 November 2015 2Big Data
- 3. Add More Data Points • Increasing messiness by combining different types of information from different sources, which don’t always align perfectly. • Messiness can arise when we extract or process the data, since in doing so we are transforming it, turning it into something else. • Messiness itself is messy. 5 November 2015 Big Data 3
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