Before we begin talking about Hadoop Technology, let’s first understand how we got to use it. We all know how big data is one of the main focus areas in the digital world today.
It’s something that is generated and collected largely from different company processes. It can have patterns or can include methods for improving a company’s operations. Similarly, it plays a crucial role in analytics, providing customer feedback, etc. This is why it is essential for companies to not remove data from storage. However, storing whole sets of data also seems to be useless because some of it is not required at all. Such sets of data should be distinguished and discarded from the valuable part. This is where Hadoop Technology comes into play. It analyzes and obtains helpful information efficiently.
As the World Wide Web grew in the late 1900s and the early 2000s, search engines, and indexes were created to help locate relevant information amid the text-based content. In the early years, search results were returned by humans. But as the web grew from dozens to millions of pages, automation became the need of the hour. This is when web crawlers were created and the Hadoop Technology made its breakthrough.
What is Hadoop Technology?
Hadoop Technology is specifically designed for large amounts of data storage and management. It is an open-source software framework that stores data and runs applications on clusters of commodity hardware. It provides massive storage for all kinds of data, enormous processing power, and the ability to virtually handle limitless concurrent tasks.
This technology is majorly advantageous for big businesses because it is based on low-cost servers, which needlessly store and process data. And, by providing a history of data and different company documents, Hadoop is one technology that helps in making better business decisions.
Advantages of Hadoop
Diverse Data Sources: Hadoop technology accepts a wide range of data which may come from various sources, including email, social media, and structured or unstructured forms. It also derives value from multiple data in a text file, XML, images, and CSV file.
Value-Effective: Hadoop is a cost-effective solution. It uses a hardware cluster to store data and commodity hardware which is cheap machinery. So nodes in the framework are not very expensive and the redundant data is significantly decreased and thus requires fewer machines to save data.
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Flexible: Hadoop technology can be used for various purposes like log processing, recommendation systems, data storage, market campaign analysis, and screening for fraud. It allows a firm to access new data sources quickly and tap into various (structured and unstructured) data types to produce value from those data.
High Speed: With technology like Hadoop, data is stored in a distributed file system via a storage system. This is because the tools used for data processing are located on the same servers with the data and the processing operation is also accelerated. This results in processing terabytes of data in a matter of just a few minutes.
Multiple Copies: Hadoop technology makes sure that information is not lost in the event of any failure. It duplicates and creates several copies of the data that is stored unless the company discards it.
Scalability: You can easily grow your system to handle more data simply by adding nodes. Only a little administration is required.
Conclusion: A company can definitely gain from using a technology like Hadoop. It processes the data collected from the company extensively to deduce the result that can contribute to a better decision for the future.
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