As the years pass by, the idea and importance of Big Data have increased exponentially. Data makes up everything and analytics is at the core of any big data enterprise. Hadoop has become a key platform for storing, processing, and analyzing large multi-structured data sets. It is used by many businesses to support big-data applications. With Big Data at the core of the processing model, typical business systems running on Hadoop include three distinct layers: the infrastructure layer, the data layer, and the analytics layer. It is capable of delivering a data processing infrastructure that can accommodate large and complex business applications. Thus, Hadoop is being implemented at the enterprise level as Enterprise Information Management (EIM) needs more improved big data solutions.
Hadoop has been adopted by enterprises that want to gain actionable insights on new data sources. Particularly with the release of v2, it has transitioned from a batch-processing model to a multi-use platform for crunching data in many more ways, making it more accessible for real time big-data applications.
Hadoop became a key platform for big data analytics thanks to its flexibility, reliability, scalability, and ability to suit the needs of developers, data scientists and enterprise IT alike. It is a game changer for enterprises, transforming the economics of large-scale data analytics. It eliminates data silos and reduces the need to migrate data between storage and analytics systems, providing businesses with a more holistic view of their customers and operations, leading to quicker and more effective business insights. Its extensibility and numerous integrations power a new generation of data-aware business applications.
As enterprise data volumes continue to rise in strategic importance, the traditional Enterprise Data Warehouse will continue to progress into larger and more complex Data Architectures. Every business user will likely begin to utilize Big Data applications for reviewing, analyzing, and reporting mission-critical information during daily business operations. Additionally, as advanced technologies like Machine Learning and Deep Learning get included in enterprise Big Data applications for predictive modeling, targeting customers, product pricing or recommendations, an open-source platform like Hadoop is perfect for cost-efficient Enterprise Information Management solutions.
Overall, Hadoop is a reliable business system for the enterprise. It is becoming more known that the best way to meet an organization’s demand for big data solutions is through a managed service. Hadoop that leverages integrated analytics capabilities is the ideal stack for enterprise use.
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“Leveraging Hadoop for Rapid Detection and Response.” Cloudera VISION. N.p., 03 Aug. 2015. Web. 08 Aug. 2017.
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