Data processing and management are very closely intertwined. Excellent management requires informed decision making, while proper decision making depends on the quality of information obtained from data processing. In the computing world, data is stored in databases from where it can be accessed, manipulated, and altered through the help of programs such as queries. With the massive increase in data to store and the pressing need to process and analyze that data, the need to advance in database technology is always imminent.
Necessity is the mother of invention. With the great rise in data volumes, software programs that would help optimize on processing speeds as well as production of most useful information (high quality) have continued to emerge. We can talk of great inventions such as cloud computing, Spark, PIG, Hive, and MangoDB. However, Hadoop has greatly been adopted and implemented for its effective application of MapReduce on big data processing. Basically, Hadoop is a great programming framework that enables the processing and storage of huge loads of data effectively.
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