Comparative Analysis of Various Techniques Used In Managing Big Data

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Provided by: The International Journal of Innovative Research in Computer and Communication Engineering
Format: PDF
The digital world is growing very fast and become more complex in terms of volume (terabyte to petabyte), variety (structured and un-structured and hybrid), velocity (high speed in growth) in nature which to the data collection that has grown so large it can't be effectively managed or manipulated using conventional data management tools: e.g., classic Relational DataBase Management Systems (RDBMS). In recent time many applications work based upon big data analytics, business intelligence and social networking which has petabyte datasets and have pushed SQL-like centralized databases to their limits.
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