Qubole, the data activation company, announced the results of its 2018 Big Data Trends and Challenges report — an annual, global survey of IT and data professionals on the trends, challenges, and solutions of big data and machine learning initiatives across the enterprise. The survey found that the value achieved from big data in on-premises environments has significantly lagged behind expectations, and as a result, companies are rapidly shifting to the cloud for applications centered around machine learning (ML), and analytics.
According to the survey, 73 percent of businesses are now performing their big data processing in the cloud, up from 58 percent in 2017. The shift towards cloud is necessitated in part due to the ever-growing volume and diversity of data that companies are dealing with, as 44 percent of organizations now report working with massive data lakes over 100 terabytes in size.
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