This is part 5 of a multi-part series on the Analytics Operating Model.
As many organizations embark on the transition from “proof-of-concept” to production, selecting the optimal data platform can be a task not for the faint of heart. According to Gartner, through the end of 2017, approximately 60 percent of big data projects will fail to go beyond piloting and will be abandoned. To further compound this statement, only 15 percent of those deployed projects will make it to production as compared to 14 percent in 2016. These numbers beg the question: Why can’t enterprises make the leap?
The traditional IT concept of maintaining infrastructures and applications for years no longer applies. As the needs of the enterprise mature, so should the ecosystem. Capabilities to handle real-time streaming data, in-flight transformation, and the shift from Extract-Transform-Load (ETL) to Extract-Load-Transform (ELT)/Schema-on-Read are no longer concepts, but reality that require adoption of newer tools and techniques to promote these trends.
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http://www.enaxisconsulting.com/data-oriented-architecture-build-the-right-foundation-blog/
