Data engineering needs DevOps to navigate big data ecosystem

For an open source strategy to work, applications based on big data ecosystem components must be hardened to run in production. DevOps could be an important part of that.

Users have always wished for less dependence on vendors. However, that comes at a price. As they navigate the twists and turns of today’s big data ecosystem, they take on responsibilities that were once the vendors’, at least to some degree. The new style of data engineering calls for a heaping helping of DevOps, that being the extension of Agile methods that requires developers to take more responsibility for how innovative applications perform in production.

Author: Jack Vaughan

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