Big Data

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. ... It's what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves

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What you will learn

Introduction to Big Data & Big Data Challenges

Limitations & Solutions of Big Data Architecture

Hadoop & its Features

Hadoop Ecosystem

Hadoop 2.x Core Components

Hadoop Storage: HDFS (Hadoop Distributed File System)

Hadoop Processing: MapReduce Framework

Different Hadoop Distributions

Requirements

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Description

Big data is used to analyze, extract information systematically from, or otherwise deal with too large or complex data, which are very difficult to be dealt with by traditional data-processing application software. Big data can be analyzed for insights that lead to better decisions and strategic business moves.

It has a major impact on businesses worldwide, with applications in a wide range of industries such as healthcare, insurance, transport, logistics, medicine, agriculture, gambling, and environmental protection, and customer service.

The demand for Big data engineers is particularly on a sharply rising trend. Forbes proclaims that Big Data Engineering is one of the top emerging jobs on LinkedIn. And the people are building high-salary careers working with big data.

The average salary for a Big Data Engineer is ₹7,69,743 per year in India.

With our Big data course given in Beeja, you gain the skills you need to store, manage, process, and analyse massive amounts of structured and unstructured data to extract meaningful insights.