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4 factors to compare Hadoop distribution vendors

Examine the key characteristics necessary to evaluate in a Hadoop distribution comparison, focusing on enterprise features, subscription options and deployment models.

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Event processing climbs out of niche

Events are as important as data in emerging applications underlying many e-commerce efforts. Streams of events tell a company what motivates customers to use online products.

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Investigate Hadoop distributions for your organization

Hadoop distributions help organizations manage mass volumes of data. It is important to research options, features and vendors before you make a final buying decision.

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Navigate the data integration product buying process

Companies require a data integration product to help manage the constant influx of data. This buyer's guide walks through all the cases to consider before buying one.

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    Data engineering boosts USAA's data science efforts

    When the United Services Automobile Association's data science team wasn't getting data in the right format, the team lead realized the USAA needed more data engineers.

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    data profiling

    Data profiling is the process of examining, analyzing and reviewing data to collect statistics surrounding the quality and hygiene of the dataset.

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    Tips for deploying big data in Docker containers

    Planning for security and container APIs, and watching out for infrastructure sprawls are some issues to be aware of before deploying big data in containers.

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    Google Cloud ups its database, data management game

    New Google Cloud boss Thomas Kurian is putting databases and data management at the forefront at Google. The vendor has forged key data deals, showing a more mature Google Cloud.

  • Hadoop framework

    Event processing climbs out of niche

    Events are as important as data in emerging applications underlying many e-commerce efforts. Streams of events tell a company what motivates customers to use online products.

  • Hadoop framework

    Tools prep IT to move data to cloud

    Tools such as Unravel and Pepperdata offer a way to measure performance of big data cloud applications, which may aid companies with on-premises configuration issues.

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