IBM InfoSphere Big Match for Hadoop

Match and analyze disparate volumes of structured and unstructured customer data for deeper customer insights
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Overview

Find and connect the customer data that matters most

IBM InfoSphere® Big Match for Hadoop helps organizations analyze large volumes of structured and unstructured data for deeper customer insights. It links data across sources to create more complete, accurate customer views without moving data, and supports Apache Hadoop platforms such as Cloudera.

Features

Advanced customer data matching

Uses statistical learning algorithms and a probabilistic matching engine running natively within Hadoop to identify and link customer records with greater accuracy. Supports matching across large datasets while maintaining scalable big data performance.

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Provides configurable prebuilt algorithms and templates to help reduce deployment time from weeks or months to hours. Distributed processing capabilities accelerate matching workloads across large volumes of data for improved efficiency.

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Provides Java and REST-based API support for integration with third-party applications and enterprise systems. Enables organizations to extend matching capabilities, automate workflows and incorporate trusted customer data into business processes.

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Provides search capabilities to locate matched entities and customer records quickly. Supports export and extraction functions, including entity IDs, enabling downstream systems to consume consistent, linked and trusted customer data.

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Provides Spark-based utilities and visualization tools to support deeper analysis of matching results. Leverages Spark capabilities for near real-time streaming through micro-batch processing, advanced analytics and graph computation analysis.

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Use cases

Turn complex data into customer insights

Discover how teams can connect and analyze structured and unstructured data to uncover hidden relationships, resolve customer identities and accelerate analytics. Hadoop-native processing and advanced matching capabilities help create a more complete customer view.
Build a complete customer view

Connect customer records with data from Twitter feeds, email and call center logs to uncover insights and create a more comprehensive understanding of customer relationships.
Connect and analyze masses of data

Enable analysts to link customer identities across large data sources using probabilistic matching, text analytics and big data accelerators for faster insight generation.
Accelerate analytics with Hadoop

Reduce data integration bottlenecks by processing information natively in Hadoop, helping teams analyze large datasets more efficiently and with fewer constraints.

Resources

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What is Apache Hadoop Master data management tools and solutions IBM InfoSphere Big Match for Hadoop 11.5.0.11 readme
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