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Data Processing

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  1. The Smart Way to Optimize Your Amazon Sales Strategy

    Clearly there are some potential risks such as not having proper attribution data since we can’t place a pixel on Amazon’s site or Amazon displaying other sellers under new and used on your listing. Any deviations from these high standards can cost...

  2. 40% of Marketers Want to Reinvent Themselves: Data & Change at Adobe Summit 2014

    But before marketers can begin to explore their options for data processing, they have to want it. The ability to pull together data from multiple sources in one place, process it in a standardized manner, and package it in a way a marketer can...

  3. Facebook on Graph Search Posts Index: 700 TB of Data & 100+ Ranking Factors

    Even back in 2008, they were processing 20,000 terabytes of data daily. What does it take to power a social search index with over a trillion total posts and hundreds of terabytes of data? Facebook's underlying data schema reflects the needs of a...

  4. 3 Reasons Natural Language Processing (Not Google Glass) is the Future of Search

    As data owners, we must be prepared by ensuring our data is organized in the most accessible ways possible, conforming to relevant data conventions and organized logically so the ever evolving spiders can access and make sense of it.

  5. Why Google Will Reject, Block, or Flag Your Data Feed

    Suggested Optimizations, which are also noted on this page, refer to changes Google suggests you make, but won't affect your data feed processing. Here is an example of a Google data feed. Moreover, Google doesn't always do the best job of...

  6. Yandex: Queries Now Influence Search Results, Suggestions 'Within Seconds'

    To instantaneously react to changes in users’ search behavior, we created a real-time data processing system, which processes more than 10 terabytes of data a day, at up to 500 megabytes per second, continuously correcting its knowledge of users...