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Making Choices: What Kind Of Relationship Are You Seeking With Your Database?

Data is growing and evolving in ways that legacy architects could not have imagined. We are seeing a shift from systems of record that are highly autonomous and rigorously constructed to make sure every piece of data is processed in-tact to data platforms that throw caution to the wind in exchange for performance and scalability. As data evolves and becomes more complex it begs the question, “What type of relationship are you seeking with your database?”

The answer is often more complicated than a single solution a vendor can provide, which is why it’s increasingly important to weigh the costs and benefits of any data platforms and also examine the implications of implementing it with your existing system. Then users can move forward with a new data initiative with the confidence that they will be able to focus on the innovative aspects of the technology rather than deployment, implementation and troubleshooting.

J.R. Arredondo takes us through a model of considerations all aimed at using the right tool for the right job. Each new data platform has advantages and limitations. By knowing whether you need transactional scaling vs. analytics, or a flexible schema database vs. an in-memory solution may help ensure you don’t waste cycles focusing on the wrong technology.

Join us as we dive into these areas of consideration and some real world use cases of how a company can leverage multiple data platforms to achieve a variety of valuable use cases.

About the Author

This is a post written and contributed by Sean Anderson.

Sean is a tenured infrastructure scaling and cloud strategy consultant with a strong focus on strategic partnerships and innovative hybrid technology. A five-year Racker; Sean is focused on developing deep relationships across the technology landscape. Previously, Sean has held several sales director positions at startups and also headed up a team of products specialists for a global retailer. He began his Rackspace journey managing key applications and growth for enterprise customers in the Big Data and Business Analytics sectors. Sean’s focus quickly turned to Big Data Solutions and new platforms like Hadoop, MongoDB and Cassandra. His ever evolving interest in tackling the data problems of tomorrow has made him a key resource to companies looking to harness the power of innovative data and analytics platforms. Sean is currently the product marketing manager for cloud big data solutions at Rackspace.

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