Apache Hadoop allows big data applications for both operations and analytics and is one of the fastest-growing innovations offering competitive advantage for businesses across industries. Hadoop is a crucial component of the next-generation data architecture, supplying an enormously scalable dispersed storage and processing platform. Hadoop enables organizations to build brand-new data-driven applications while liberating resources from existing systems. MapR is a production-ready circulation for Apache Hadoop.
Change the Economics of Your Data
With the introduction of Hadoop, CIOs are reassessing their enterprise data architecture. Data which was formerly too costly to establishment, can now be provided for analysis to improve business insights at 1/10 to 1/50 the expense on a per terabyte basis. Hadoop also enables the catching and keeping of data from every touch point in an organization, while removing different silos to process that data (e.g., data transformation, cleaning, analysis, scoring).
More Data Causes Better Insights
Users across markets are now able to bring structured, unstructured and semi-structured data sources together on one platform to perform much deeper and more accurate evaluation for improved customer communications and everyday operations. Examples consist of developing customer 360-degree views of both deals and communications, measuring brand health throughout channels, enhancing real-time fleet logistics, improving danger modeling and fraud detection algorithms, and improving quality control on production line. One of the common insights throughout these customer experiences is that broadening the data for a given design can have remarkable improvements in analysis.
Game-Changing Business Applications
In addition to data management and analytic applications powered by Hadoop, more companies are powering business-critical operational applications where low latency and transactional consistency are important. A large number of Web 2.0 business are supplying Hadoop-based services such as ad auction engines, product search, and family tree services, while huge business are leveraging search and NoSQL databases on Hadoop (in-Hadoop databases) to develop data-driven services for their consumers. Examples include real-time product offers for customers, power grid optimization, and cable advertising optimization using set-top box data.
Hadoop is Changing Companies Across Industries
Every industry is benefiting from the scale and processing power that Hadoop brings, becoming more data-driven and acquiring deeper insights to clients and operations.
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