• Mrs Pooja

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. The word ‘Big Data’ designates advanced methods and tools to capture, store, distribute, manage and investigate petabyte or larger sized datasets with high velocity and different arrangements. Big data can be organized, unstructured or semi organized, resulting in incapability of predictable data management methods. Put another way, big data is the realization of greater business intelligence by storing, processing, and analysing data that was previously ignored due to the limitations of traditional data management technologies. Hadoop is the main podium for organizing Big Data, and cracks the tricky of creating it convenient for analytics determinations. Hadoop is an open source software project that allows the distributed handling of large datasets across bunches of service servers. It is considered to scale up from a single server to thousands of technologies, with a very high degree of fault tolerance. 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. Big Data is a data whose scale, diversity, and complexity require new architecture, techniques, algorithms, and analytics to manage it and extract value and hidden knowledge from it. Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Hadoop is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance.

Big Data, Hadoop, Map Reduce, HDFS, Hadoop Components

"A Review Paper on Big Data and Hadoop Technology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.540-543, September-2018, Available :http://www.jetir.org/papers/JETIR1809485.pdf

"A Review Paper on Big Data and Hadoop Technology", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp540-543, September-2018, Available at : http://www.jetir.org/papers/JETIR1809485.pdf