Turnkey Hadoop? Yes, It’s Possible.

As you already know, there are big benefits to big data, and the first step to capitalizing on them is getting an efficient data architecture (including your traditional systems AND big data) up and running. But what’s the best way to build that warehouse? In our last blog, we discussed the many questions and complications that arise when you want to go DIY and build the warehouse yourself. But what about a pre-integrated solution?

A turnkey solution won’t be as specifically tailored to your organization’s exact needs as a DIY solution, but a good pre-integrated data warehouse will relieve the headache of picking out each component part, making sure they can integrate with each other, managing the workflow, tuning it to your IT department’s standards, and bringing the warehouse into production. With turnkey, that’s already done for you.

In addition to not having to worry about each of the components, the pre-integrated enterprise data warehouse tends to be more flexible. A good turnkey solution will allow your developers to write programs in their languages of choice, programs that will work on any piece or group of data in the pre-integrated system. This, in turn, makes it much easier to create and continually update workflows around the data you’re collected, especially as your organization’s data needs grow and change.

A modern turnkey solution also spares you – and your IT department – privacy, security, and governance dilemmas. You can pick a solution that comes with fine-grained security processes, including policy-based access controls, encryption, and auditing straight out of the box. Some big data warehouses even have the ability to dynamically generate different views of data for different users on the fly. To return to an example from our previous blog, with a carefully selected turnkey solution, you can guarantee that your customer service agents and analysts can securely and simultaneously access the same datasets. Sophisticated access policies will ensure that the customer service agents see the full records, while the analysts get a different view of the same data, seeing only the de-identified data they’re authorized to access.

With so many of your big data warehouse’s essential features ready to go, one of the biggest question you’ll ask yourself about a turnkey solution is whether you should deploy it on-premise or in the cloud? Your industry’s regulations may require you to store your data on-premise. On the other hand, cloud-based solutions can mitigate many barriers that slow down big data adoption, allowing you to deploy faster with lower ongoing costs and the ability to easily scale to meet your data’s needs. Depending on the regulations or organizational requirements you’re beholden to, if some of your data must remain onsite, you can also opt for a hybrid approach. It’s possible to have some elements of your solution run in the cloud, while others run on-premise.

When you’re considering what big data warehouse is best for your enterprise, your organization’s needs will determine whether a DIY or a turnkey solution is best for your needs. If unique requirements demand a custom solution, DIY can make sense. But if you want big data as a tool, rather than effectively getting into the big data business, you may end up saving your time and your resources by connecting with a vendor that can provide you with a complete, turnkey solution.

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