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How Hadoop Is Being Used for Business Operations Today

  • How Hadoop Is Being Used for Business Operations Today-

    Size Doesn't Matter

    The size of an organization does not always correlate to cluster size. Some of the largest Hadoop deployments and users tend to be small shops, such as ad tech companies, digital marketing, and analytics departments that don't always have the highest numbers of employees. Most organizations just starting out with Hadoop have one cluster for production and one for test/dev. For those who have not figured out how to reliably run multi-tenant environments, it is common to isolate clusters.

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How Hadoop Is Being Used for Business Operations Today

  • 1 | 2 | 3 | 4 | 5 | 6 | 7
  • How Hadoop Is Being Used for Business Operations Today-2

    Size Doesn't Matter

    The size of an organization does not always correlate to cluster size. Some of the largest Hadoop deployments and users tend to be small shops, such as ad tech companies, digital marketing, and analytics departments that don't always have the highest numbers of employees. Most organizations just starting out with Hadoop have one cluster for production and one for test/dev. For those who have not figured out how to reliably run multi-tenant environments, it is common to isolate clusters.

There is little doubt that Hadoop adoption is growing, and not just among enterprise-sized organizations, but by small- and medium-sized businesses as well. In an effort to understand this maturing market more deeply, Pepperdata conducted a survey about how and why Hadoop is used for business operations.

The 134 survey respondents came from a range of experience, but all work at companies currently running Hadoop in production. The majority of respondents were from software engineering/development, data scientist, or data architect job titles (25 percent, 17 percent, and 12 percent, respectively). Almost half (40 percent) were from the information technology industry, with education and financial services (11 percent and 10 percent) coming in second and third. Over 45 percent have been in production for two years or more, with 15 percent of those being "advanced users" (four years or more in production).

In this slideshow, Pepperdata shares findings from the survey, such as key use cases, the size of Hadoop environments, and biggest challenges to production deployment.