Big Data


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Data that contains greater variety, arriving in increasing volumes and with more velocity. This is also known as the three Vs. Put simply, big data is larger, more complex data sets, especially from new data sources.Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications.

Big Data refers to a large volume of both structured and unstructured data. Hadoop is a framework to handle and process this large volume of Big data. Significance

Hadoop framework

Apache Hadoop is an open source framework for dealing with large quantities of data. It’s considered a landmark group of products in the business intelligence and data

Bigdata development

The concept that refers to the identification of sources of big data relevant to the policies and planning for development programs. It differs from both “traditional” development data and what the private sector and mainstream media call “big data.”.

How bigdata developed?

“Big data for development” is a concept that refers to the identification of sources of big data relevant to the policies and planning for development programs. It differs from both “traditional” development data and what the private sector and mainstream media call “big data.” Big data refers to the large, diverse sets of information that grow at ever-increasing rates. It encompasses the volume of information, the velocity or speed at which it is created and collected, and the variety or scope of the data points being covered (known as the "three v's" of big data).

Benefits of Bigdata Development

  • Big data allows businesses to deliver customized products to their targeted market—no more spending fortunes on promotional campaigns that do not deliver.

  • Businesses function in high-risk environments, so they require effective risk management solutions to address issues.

  • One of the most compelling benefits that big data tools like Hadoop and Spark offer include significant cost advantages for storing, processing, and analyzing large volumes of data.