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Hadoop’s ecosystem mainly includes MapReduce, the Hadoop Distributed File System (HDFS), which eliminates data silos, through convergence of open source, enterprise storage, NoSQL, and event streams with unparalleled performance, data protection, disaster recovery, and multi-tenancy features. It helps in the storage of new data resources and combines large data set for interactive, real-time analysis and gaining deeper insights on ways to improve operational margins and protect against one-time events that might cause catastrophic losses. Large retail banks leverage Apache Hadoop due to the influx of applications each day for new checking and savings account. MapR platform analyzes all incoming transactions against individual and aggregate purchasing histories and takes appropriate action if the activity falls outside the confidence level of normal behavior, thereby preventing security attacks and fraud.
With MapR converged platform, banks can also meet their regulatory compliance objectives to avoid steep fines by establishing an enterprise data hub that holds within itself the relevant compliance data which can be accessed securely.
We look forward to helping more customers benefit from the power of Hadoop to increase revenues, lower costs, and mitigate risk
Over the years, the company has worked diligently to achieve great customer relationships, solving some of the most complex business challenges that clients face today. Zions Bank, which operates through over 500 offices and 600 ATMs in US, relies on MapR for its security features, ease of management, superior performance capabilities, and better ROI. “In the past, our existing tools took almost a day to run a report and get the result against a particular data that we need. With Hadoop we can arrive at the results in less than 20 minutes,” says Michael Fowkes, Senior Vice President of Data Science and Security Analytics, Zions Bank.
Looking ahead, MapR Technologies aims to keep up the key requirements of Hadoop adoption and success through ease of use, availability, dependability and high performance. “As we continue to expand, we look forward to helping more customers benefit from the power of Hadoop to increase revenues, lower costs, and mitigate risk,” concludes Schroeder.