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                Hadoop Vs. MongoDB – Which Big Data Technology Do You Prefer?

                Most organizations receive chunks of information. Some come from the customer service, some from their IT department and some from their market research team. This information might be random, anything from having a person’s name to his bill details. This random sets of information can start to make sense if organizations can organize this information correctly. Companies can do well to interlink data that are similar – to be able to strategize better and understand their customers in a better way – a thing we commonly refer to as Big data. What are we talking about, what is BIG data? Organizations store data under different heads. Some relate to customer details, some relate to customer mail ID, and some relate to customer needs. Every bit of data is important, but it is useless until it is organized, processed and reduced to simpler forms so to make a sense out of it. This data can be in the form of text, images, audio, videos – anything imaginable. Most of it would not make sense individually. However, put together in a certain way,  they offer useful insights that can offer a detailed knowledge about the observed aspect. Combine your customers birth date with his personal taste and you might just understand how you can help him more with your products or services. The term BIG DATA refers to large sets of data that are enormously large to be processed by the conventional methods of sorting and thus requires a smarter system to analyze, collect, share, store and simplify. A system needs to process this data.  It is this need that brought...