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Get a QuoteBig Data often helps the organisational or business decisions. The concept of Big Data and Analytics is the complex process of scrutinizing the huge data sets with varied permutations and combinations to discover the data structure, and data relations. Big Data Analytics helps the organisation to interpret the customer pulse, customer feedback and contributes towards the business decisions. Organisation using Big Data Analytics, are dealing with terabytes of data that is received from different means like and processes to derive a logical equation that contributes to the strategic planning. Big Data overrules the capacity of traditional RDBMS available in the market. As the term says, it is the capacity of Big Data is very huge to manage or process.
Volume, Velocity and the variety are main features of Big Data. Fast moving trends of internet operations, usage, Artificial Intelligence, Social Media, and Mobile World are contributing to the intricacy of Data. Various sources that contribute towards Big Data are Chats, Facebook, What’s App, Files, feedback posted on sites, customer reviews, feedback, and images posted on Social Media.
Generally the data in the form of chats, SM conversations, Facebook chats/images and customer feedbacks, views and reviews content is the available data that is in unstructured format. Leverage this unstructured data by applying AI and converting it into meaningful structured data that helps the Organisations to derive best business equations is the capacity of Big Data Analytics.
Sentiment Analysis
Customer Churn Analysis
Advertisement Analysis
Predictive Analysis
Weather Forecasting
Health Care Analysis
The Best Way to a solution is to “Split the Problem”. This Architecture helps in designing the Data Pipeline with the various requirements of either the Batch Processing System or Stream Processing System. Secured data flow can be viewed under Big Data Architecture in 6 layers that ensures data security.