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Big Data

Many enterprises demand access to huge volumes of data and rely on powerful insights from that data to produce better business outcomes. IBM’s big data solutions, featuring enterprise Hadoop solutions, enable users to store, manage and analyze data across numerous sources while making data accessible to business analysts, data scientists and IT users.









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IBM InfoSphere BigInsights

Hadoop is a highly scalable storage platform designed to process very large data sets across hundreds to thousands of computing nodes that operate in parallel. It provides a cost-effective storage solution for large data volumes with no format requirements. 


InfoSphere BigInsights is designed for organizations that want to spend less time creating an enterprise-ready Hadoop infrastructure, and more time gaining insight and delivering data applications. It is available on-premises, on-cloud, and integrated with other systems in use today to help you be more agile and efficient.




  • Open source solution

    Benefit from 100% open source Hadoop through the IBM Open Platform, which includes all the Hadoop ecosystem components bundled for you.

  • Powerful processing

    Integrated with Apache Spark for extra processing power.

  • Performance & usability

    Gain performance-optimized capabilities, visualization, rich developer tools and powerful analytic functions.

  • Easy-of-use

    Built-in modules support a variety of analytics applications and analytics skill sets.

  • Built to go big

    Deliver management, security and reliability features to support large-scale deployments and accelerate time to value.

  • Maximized for self-serve

    Integrates SQL, and other data types with Hadoop quickly and easily to enable self-service data access and optimize insight.

  • Supported

    Supported by IBM’s big data experts 24/7 at no extra charge.

  • Integrated

    Integrated with proven IBM analytics offerings and third-party solutions.

  • Stable

    Provides an ODPi compliant distribution, which is certified to be interoperable so that you don’t have to guess or worry about stability.

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IBM InfoSphere Streams



IBM Streams is an advanced analytic platform 
that allows user-developed applications to quickly ingest, analyze and

correlate information as it arrives from thousands of data stream sources. The solutioncan handle very high data

throughput rates, up to millions of events or messages per second. Streams helps you to:



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  • Case Study

    Consolidated Communications uses IBM Predictive Insights to detect 100 percent of their major incidents, including silent failures, and eliminated the human intensive task of managing manual thresholds, saving $300,000 annually.

    Read Case Study
  • Case Study

    The University of Maryland School of Medicine is one of only two universities working with IBM to test Watson's advanced analytics for potential health care applications.

    Read Case Study
  • White Paper

    Celcom Axiata is using existing customer information and analytics to personalize their marketing campaigns. By enabling near real time analytics, they were able to improve customer loyalty, reduce new campaign launch time by 80%, drive customer engagement and gain market leadership.

    Read Case Study
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  • Experts estimate that more than 90% of the total global email volume is spam. This use case explores how IBM's InfoSphere Streams is providing the scalability, load management, and low resource footprint necessary to build a real-time statistical calculation pipeline for streaming email content, which will act as a pre-processing phase for a larger spam detection system.

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  • Read the paper to learn how you can embark on real-time analytics projects to enhance your investment in Complex Event Processing CEP Platforms.

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  • Communications Service Providers (CSPs) that can ingest and analyze network, location and customer data in real time or near-real time have much to gain. Download this paper, which defines what big data analytics mean to CSPs, provides an overview of their most valuable uses in telecommunications, and outlines what companies must look for as they adopt new big data analytics solutions.

    Learn More
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  • IBM InfoSphere Data Explorer

    IBM InfoSphere® Data Explorer software provides federated discovery, navigation and search over a broad range of data sources and types. Users of all kinds can more easily find and share information, while organizations can launch big data initiatives more quickly. The software includes a framework for developing information-rich applications that deliver a comprehensive, contextually relevant view of any topic for business users, data scientists and a variety of targeted business functions.

  • IBM InfoSphere Warehouse

    The InfoSphere Warehouse provides end-to-end information management solutions in order to meet unique challenges in harnessing the power of information assets. Get the most out of your data, tailor it to your business needs, and make sure you keep it safe and accessible. This comprehensive data warehouse solution enables you to take a project-based approach to warehouse design, using teaming capabilities that support enterprise warehouse consolidation. Manage your data assets and storage more intelligently.

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  • Case Studies

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