With big data, a large mass of data can be housed, managed and interpreted even when it’s not yours.
Big data changes everything. A smart car captures and interprets more data in a single trip than the NASA computers processed while guiding the first men to the moon. For enterprise, big data means huge volumes of data can be processed in minutes. It means you can harness datasets from across and beyond your enterprise, often in real-time… to bring clarity to actions and strategies.
Overcome relational problems
Relational databases changed everything when they emerged. They meant users could examine data by slicing and dicing through data table relationships. And yet, splitting data into tables makes it harder to use. Placing data into flat data lakes makes it easier for users to consume it. It simplifies architectures and expands possibilities. But to transition from relational databases to data lakes requires skills that are in short supply, like Apache Haddoop, Apache Spark, Apache Storm, Ceph, Hydra, and Google BigQuery. That’s why organizations rely on MetaNXT data scientists to forge innovation with big data.
Your big data lake(s)
Massing data into data lakes demands a well-thought out plan and a skilled team of data scientists, but the results can be game-changing. Opportunities for data lakes abound; to understand market behaviors and pricing, fine-tune customer experience strategies, and shape R&D plans, resourcing approaches, go-to-market agenda. If you have a need for timely data, presented in ways that answer new questions (even the ones you haven’t even thought of yet) you need data lakes.
For a no obligation discussion on our big data services and your needs, drop us a line!
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