Big Data Training Classes and Seminars

Big Data is the term used to describe large volumes of structured and/or unstructured data that can be analyzed to extract business information and insights. Companies leverage big data analytics to make better decisions and solve critical business challenges.  Data Scientists jobs are on the rise as they provide the human element to help make sense of the large volumes of data companies mine and collect. 

Typically, datasets are so extensive it cannot be analyzed by traditional data-processing software. The components involved in big data include capturing data, data storage, data / predictive analysis, reporting, visualization, querying, information privacy and data source.

The vendors offering big data technologies is growing every day. Some of the big data solutions that are popular right now include Hadoop, Spark, and R. Specialists describe the breadth and depth of big data in three different dimensions: the extensive volume of data, the wide variety of data types and the velocity at which the data is processed.

Such data can originate from various sources, such as business transactions, customer databases, medical records, internet clickstream logs, mobile apps, social networks, machine-generated data and real-time data sensors used in internet of things (IoT) environments.

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