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Big Data Analytics

Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage, and process the data with low-latency. And it has one or more of the following characteristics – high volume, high velocity, or high variety.

There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies for organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there.

With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions. The purpose of Big Data Analytics is to use the data to take out useful insights in order to make better decisions.

Big Data helps to analyse:

  • Time
  • Cost
  • Product Development
  • Decision Making

Application Areas of Big Data Analytics :

  • Health Care : Big data analytics enable us to find new cures and better understand and predict the spread of diseases.
  • Detect Frauds : Police use big data tools to catch criminals and even predict criminal activity. And Credit card companies use big data analytics it to detect fraudulent transactions.
  • Social Media Analysis
  • Weather
  • Public sector





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