Big Data Analytics
In the Past before digitalization, amounts of data were generated at a relatively sluggish pace. all the data was mostly documents and in the form of rows and columns. storing or processing this data wasn’t much trouble as a single storage unit and processor combination would do the job but as years passed the internet took the world mightynews by storm giving rise to tons of data generated in a multitude of forms and formats. Every microsecond, semi-structured and unstructured data is available now in the form of emails, images, audio, and video to name a few all this data became collectively known as big data in Hadoop assignment help services. although fascinating it became nearly impossible to handle this big data and a storage unit processor combination is obviously not enough so what was the solution. Multiple storage units and processors were undoubtedly the need of the hour. This concept was incorporated in the framework of Hadoop that could store and process vast amounts