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@article{144467,
        author = {Komal Mangla},
        title = {A Review Paper on Big Data},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {3},
        number = {11},
        pages = {280-284},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=144467},
        abstract = {The term ‘Big Data’ describes innovative techniques and technologies to capture, store, distribute, manage and analyse petabyte-or larger-sized datasets with high-velocity and different structures. Big data can be structured, unstructured or semi-structured, resulting in incapability of conventional data management methods. Data is generated from various different sources and can arrive in the system at various rates. In order to process these large amounts of data in an inexpensive and efficient way, parallelism is used. 
2015 was the year that Big Data went from being something that a few bigger organisations were doing to being something that a majority of organisations were either doing or at the very least actively considering. The maturing of cloud-based Big Data services has made Big Data analytics a feasible reality for organisations of all sizes
},
        keywords = {Big Data, Big Data Analytics and Map Reduce},
        month = {},
        }