The Importance of Hadoop,Big Data

Introduction to Hadoop, Big Data

Big Data Hadoop – An Introduction

Let us see what Big Data Hadoop accurately defines roughly before getting into the significance of it. Initiating with Hadoop, it is an open-source software framework. You don’t need any authorization to use it, also it is free for everyone to install and use. It is exploited for both data storage and implementations running on clusters of commodity hardware. Subsequently, it offers vast storage for all categories of data. The processing power is simply spotless with a unique ability to process apparently countless parallel tasks.

History of Big Data Hadoop

In late 90’s the indexes became necessary to locate the intended information amongst the text based content before the arrival of search engines. This process was done by humans on the initial days, the process need to be automated due to the phenomenal increase in the number of web pages. Researchers came up with the idea of distributing data calculations across varied computers so that numerous tasks can be performed in a parallel manner.

History of Hadoop, Big Data

This process of distributed computing went on to become Hadoop. Yahoo released Hadoop in 2008 as an open-source project which is now running by a community of developers and contributors.

Importance of Hadoop

The volume of Data that need to be stored increases exponentially in a day by day especially in these times of social media and IOT. Therefore, Hadoop becomes necessary for its ability to store and process large volumes of data.

Importance of Hadoop, Big Data

There is a tremendous amount of increment in terms of computing power due to the rise in distributed computing. It is possible to attain high speed once there is a utilization of large number of nodes.

Hardware failure doesn’t affect the whole process. The tasks are automatically transferred to other nodes when a node gets affected. Also, multiple copies of a single data is stored automatically.

Pre-processing of data becomes redundant due to its increased flexibility. This means you don’t have to mention the type of data to be stored in advance, this also includes miscellaneous data like text, images, and video.

The cost is decreased vastly due to its open-source nature and the utilization of commodity hardware to store large quantities of data. You can increase the potential of your system by minimal effort.

Thus Big data Hadoop has become such an important part of the digital world we are living in.

Implementations of Big data in Hadoop

Data analysis – it inspects large volume data with different data types and also it helps to increase the operational efficiency, better customer service and effective marketing among various business fields.

Manufacturing sector – it can be utilized in identifying the variants in the processes along with machineries which is the indicator of quality issues. Also it helps to determine the development of a product to increase the sale

Information privacy – it helps to protect the data in applications like storing the personal information’s in medical hospitals, banking sectors and other fields.

Marketing field – it helps in determining the finest marketing strategy for increasing the sale in business. Also it supports in enhancing the sale resource and account allocation, product mix and other operations.

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