In a report released in January, Capgemini reported that, while 60 percent of executives believed Big Data will disrupt their industry within the next three years, only 13 percent of organizations in the survey have achieved full-scale production of their Big Data implementations. Moreover, the research found that only 27 percent of respondents described their Big Data initiatives as successful.
This is not a surprise to Ashish Thusoo, CEO and founder of the Big Data-as-a-service company Qubole. As one of the original creators of Facebook's data infrastructure and authors of Apache Hive, he's intimately familiar with the challenges of working with Hadoop, Spark, Hive, Presto and other related technologies. Building out an on-premises Big Data infrastructure takes significant time, investment and technical expertise and brings with it a lot of risk to boot. That's why Thusoo believes Big Data belongs in the cloud.
For organizations currently considering their own Big Data deployments, here are six things Big Data software providers won't tell you about on-premises solutions.
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