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Released in 2010, Hadoop, which is an open source Java programming framework, drastically changed how Big data and its management was perceived. Hadoop is extensible, with its ability to scale from a single server to multiple servers. Every single time it is scaled, there is a possibility to add on to the storage of the framework. Therefore, companies have understood its space and pertinence in a distributed computing environment due to its ability to process large volumes of data.
With this in mind, here are four organizations who understand Hadoop’s importance, and consequently, live by Hadoop.
Royal Bank of Scotland
Today, Customer interactions are laden with complexity and are often difficult to manage. With the explosion of unstructured data and a multitude of interactions over various channels, companies are struggling to gain an all-round view.
The royal bank of Scotland utilizes the Big data management hub Cloudera structured on Apache Hadoop to fully track and comprehend customer needs, interactions and journeys. RBS, by working alongside Trifacta, has brought its Hadoop data in an orderly fashion, to gain information from online conversations between the customers and the bank.
The bank stores unstructured data such as chat logs and metadata monthly in Hadoop. RBS leverages Hadoop to convey personalized concern and relevant experiences.
A revolutionary leader in the field of technology and fundamental research, CERN is impressively diverse in its roles. From operating the largest particle accelerator in the world to medicine, CERN requires a data management framework such as Hadoop. It is leveraged to gain insight from C2MON (control and monitoring platform), receiving real-time information from sensor data.
Equipped with around a hundred and fifty million sensors, the large hadron collider is one of the most powerful machines that the world has seen.
CERN researcher Manuel Martin Marquez says: "This data has been scaling in terms of amount and complexity, and the role we have is to serve to these scalable requirements, so we run a Hadoop cluster."
"From a simplistic manner we run particles through machines and make them collide, and then we store and analyze that data."
"By using Hadoop we limit the cost in hardware and complexity in maintenance."
Quote source: https://www.mis-asia.com/tech/applications/11-hadoop-deployments-and-use-cases-in-the-enterprise/?page=1
In 2015 April, British Airways installed its initial instance of Hadoop. It was used as a data archive meant for legal cases on its EDW platform at an elevated cost.
Ever since the deployment of Hortonworks 2.2 HDP, Alan Spanos stated that within a year, his department has seen return on its investment. Along with the ROI, the department now has seventy five percent added space for upcoming projects. All of this has led to a major cost reduction to the finance department of British Airways.
In 2014, financial services corporation Western Union deployed from Cloudera, a Hadoop data analysis platform so as to gain a sense of increased personalization in dealing with its customers.
With the usage of Cloudera Enterprise, the ability to store real-time analytics has increased substantially in efficiency.
What the implementation of apache Hadoop through Cloudera does is, to consolidate customer data in an enterprise data hub. With this deployment come big data services such as predictive modeling and pattern recognition.
By implementing this big data analytics platform, western union customers are subjected to more personalized experiences.
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