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Post by account_disabled on Mar 6, 2024 5:29:59 GMT
Variety multiple types of data The data may consist of many different types in their structure and content compared to traditional relational databases. Examples of different data can be images videos songs shares business transactions etc. As technology develops the needs of research and demand have led us to add two additional properties to consider the data as Big Data. Variability diversity In addition to the velocitiy and variety of the data there are quite often data streams that create Job Function Email List peaks that is they fluctuate unevenly . Dealing with the aforementioned data is difficult for the systems even today as every day they have to manage a very large amount of data quickly. The difficulty increases exponentially when the data to be processed is non uniform as opposed to relational databases where the data consists mainly of text . Big Data Complexity The data now comes from a variety of sources which makes it difficult to process compare and transmit them between systems.
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