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Big Data

Turn petabytes into profits.

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What is big data, exactly?

By 2020, the bits of data in the world will exceed the number of stars in the universe.1 But big data isn’t just about the fact that there’s more data than ever before.

Although the massive volume of data gives big data its name, the variety of data—structured, unstructured, machine data, clickstream data, web logs, social—is what makes big data technology so complex, and so rich with potential.

c09-products-big-data-more-bits-data According to a recent IDC report, by 2020, there will be more bits of data than stars in the universe.
c09-products-big-data-number-of-bigdata The number of big data projects that are never operationalized, according to a 2014 Gartner survey.

So even though enterprises can run petabyte-scale data warehouses, they’re limited by their analytic platforms, which aren’t suited for the scale and complexity—the variety—of big data.

More important, while Hadoop enables a paradigm shift—exponentially increasing the predictive intelligence of industries ranging from ecommerce to healthcare and beyond—the complexity of running Hadoop is often daunting. In fact, only about 30 percent of companies investing in big data have projects deployed.2

What to look for

When evaluating technology for big data, look for solutions that:

  • Leverage existing talent: Hadoop is really hard, but the benefits far outweigh the risks if you select the right technology partners. Look for products that maximize your existing IT skillsets.
  • Are ready for tomorrow: Make sure your solution doesn’t require you to recode integrations with every platform or application change.
  • Provide comprehensive functionality: Look for solutions that handle the full range of needs—from accessing and integrating, cleansing and profiling, to matching and linking data.
  • Play nice with everybody: Make sure your solution can access data from new and legacy sources. And that it uses the full power of Hadoop without inadvertently impacting other Hadoop jobs.
c09-products-big-data-hadoop-skills Recent analysis from Careerbuilder.com showed that there were 28,000 requests for Hadoop skills and only 3,000 resumes with Hadoop skills on them. Conversely, there are over 100,000 trained Informatica developers globally and Big Data Edition allows PowerCenter developers to be Hadoop developers.
c09-products-big-data-expertise “Big data expertise is scarce and expensive” was the #1 primary concern about using big data--InformationWeek 2013 Analytics, Business Intelligence and Information Management Survey of 541 business technology professionals

Why Informatica?

The dirty little secret about Hadoop is that it’s really, really hard to operationalize. Informatica Big Data products simplify Hadoop complexity by:

  • Providing a single, scalable platform that works with traditional data warehouses, cloud-based data, and new types of data from social media and sensor devices.
  • Giving your existing Informatica-certified developers a familiar tool that makes it easy for them to use Hadoop without learning Hadoop.
  • Delivering a comprehensive solution from the leader and pioneer in data integration, data quality, and data security.

1 The Digital Universe of Opportunities, EMC Digital Universe, IDC, http://www.emc.com/collateral/analyst-reports/idc-digital-universe-2014.pdf

2 Survey Analysis: Big Data Investment Grows but Deployments Remain Scarce in 2014, 9 September 2014, Gartner

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2015 Gartner Magic Quadrant for Data Integration Tools

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The Forrester Wave™ : Big Data Streaming Analytics Platforms, Q3 2014

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Big Data Products

Big Data Edition

Provides a safe, efficient way to integrate all types of data on Hadoop without ever having to learn Hadoop.

Big Data Parser

Provides pre-built parsers on Hadoop for a variety of industry standards, documents, log files, and complex file formats.

Big Data Relationship Management

Discovers relationships among parties and groups them to create a 360-degree view.

Connectors (PowerExchange)

Provides out-of-the-box, high-performance connectivity to all enterprise data, eliminating the risk and cost of hand coding.

Vibe Data Stream

Built on fast brokerless messaging technology that helps you manage many small pieces of incoming streaming data.

Customer Success Stories

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Western Union

Western Union built a data platform based on Hadoop and Informatica Big Data Edition

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UPMC

UPMC used a collection of Informatica products to improve research outcomes in the quest to cure various diseases

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BNY Mellon

BNY Mellon accelerated a successful merger using Informatica’s real-time integration products