In last week’s blog, The Hadoop Deployment Continuum, we covered how “in production” actually refers to a very diverse set of deployment scenarios. Anything from a PoC, to point solution, departmental deployment to enterprise-wide production can and often is called “production” use.
This blog focuses on the step-change DataOps requirements that come when you take Hadoop into enterprise-wide production.
As enterprises plan to move Hadoop and Big Data into enterprise-wide production scale out, they face a number of challenges.
Table 1, taken from our recent White Paper, details how running Hadoop and Big Data at enterprise-wide production requires a significant re-think across multiple dimensions.
The good news is that these are the very same challenges that ODPi big data community has been working on for over a year. Through our ODPi Compliance and Interoperable Apps programs, enterprises get stacks that are validated across a number of platforms, providing needed support for multi-vendor procurement policies. In the words of Gene Banman, CEO of ODPi member DriveScale: “Enterprises have varying big data needs that require flexible and interoperable platform components. Becoming a member of ODPi will allow us to better maximize data center efficiency for Hadoop with interoperability for enterprise-grade deployments.”
Our ongoing work to validate workloads across cloud environments promises to extend ODPi predictability even further.
From a lifecycle management perspective, our Application Installation and Management specification covers requirements and guarantees for custom service specifications and views. Importantly, this spec, like all ODPi specs, is developed in the open and guided by the ODPi Technical Steering Committee (TSC), which is pulled from the entire Big Data industry. ODPi benefits from the involvement of end users, Hadoop platform providers, solution providers, and ISVs.
Last but certainly not least, our Special Interest Groups (SIGs), are looking into the following areas that are key to predictable enterprise-wide operations:
If these things matter to you, we invite you to get involved with any of these SIGs and/or join our slack channel and work with us to co-create a predictable hybrid future for Hadoop.