Ovum report predicts cloud and appliances to drive ‘next wave’ of big data, Hadoop adoption
A new report from Ovum predicts cloud and appliances are set to boost the “next wave” of big data adoption and target “more of the enterprise mainstream that will have more modest IT and data science skills compared with the early adopters.”
In its report, “2016 trends to watch: big data,” Ovum forecasts increased IT spending will lift investment in big data analytics; appliance and cloud will drive Hadoop adoption to mainstream enterprises; and SQL will remain the go to for big data analytics, though Spark is expected to show robust growth.
“While Spark is making fast headway with Java, Python, and R programmers … most of the benefit to come from embedding into analytics tools,” Ovum explained. “Third-party analytic tools’ ecosystems that embed Spark computing will grow significantly in 2016 and that machine learning (a capability enabled by Spark) will become a checklist item for data preparation and predictive analytics.”
In terms of Hadoop, Ovum said it expects early enterprise adopters to begin “planning for data lake implementation, which it added will become a “front-burner issue.”
“Governance of data lakes will not be built in a day,” said Tony Baer, principal analyst and author of the report. “While some of the tooling exists today, capabilities such as managing the lifecycle of multi-tiered storage will have to be extended to cover the growing heterogeneity of Hadoop clusters.”
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