Trends Report

Market Overview: Big Data Integration

Your Big Data Strategy Is Not Complete Without Big Data Integration

December 5th, 2014
Noel Yuhanna, VP, Principal Analyst
Noel Yuhanna VP, Principal Analyst
With contributors:
Elizabeth Cullen , Gene Leganza , Leslie Owens

Summary

Enterprise support of big data strategies has increased data management challenges, especially around integration, security, quality, and governance. Business users want to integrate real-time data from multiple sources, including big data, to enable accurate business decisions; developers want to integrate all kinds of data to support next-generation mobile, web, and interactive applications. But organizations are realizing that simply putting lots of diverse data into Hadoop doesn't always magically result in the ability to gain insights from that data without further integration, transformation, and enrichment. Big data integration brings together disparate big data sources to deliver a unified, comprehensive view of the business and its customers, employees, and products. It supports integration with Hadoop and NoSQL; data warehouses and data marts; packaged and custom apps; Internet of Things (IoT) sensors and devices; web logs and clickstream data; social platforms like Facebook, LinkedIn, and Twitter; and software-as-a-service (SaaS) applications like salesforce.com. Enterprise architects should consider making big data integration part of their big data strategy and focus on integrating diverse data sources to support an agile big data platform.

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