Avoid the Top 5 Big Data Mistakes with an Elastic Data Platform
Many organizations are striving to extract more value from their Big Data investments. They must determine what capabilities are required. Many organizations are failing to examine the problems that plagued the early adopters that came before them. These early adopters encountered scalability, organizational, and business value related challenges stemming from a few common mistakes. We call these mistakes Anti-Patterns or the opposite of best practices.
In this video from the Strata Data Conference, I explain these concepts:
- Silos of Information: if information is contained in silos throughout the organization, it becomes costly to maintain and difficult to manage, not to mention how hard it is to meaningfully query across it.
- Too Much Governance: what good is having a data lake if an organization has so many restrictions on it that no one has meaningful access to it?
- Not Enough Governance: if you can’t trust the quality or veracity of the data, then how can the business ever take advantage of it?
- Inelastic Architecture: when organizations hit scalability limits on existing deployments, simply adding more infrastructure won’t help solve the problem. Bare-metal is easy to deploy, but brittle to manage.
- Pet Projects: if you build it, they will come is great for baseball, but not Analytics!
So what’s the answer?
Dell EMC’s Elastic Data Platform provides a best-in-class approach to avoid these Anti-Patterns and enables analytical self-service to drive speed to insights.
Please let me know what you think!