What Is Native Distributed Analytics Architecture (NDAA)?

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Native Distributed Analytics Architecture (NDAA) is a new form of analytics that's like a breath of fresh air for your database. Unlike traditional in-database analytics, which requires you to export data from the database and then import it back in once the analytics are complete, NDAA performs its operations on the data at rest. This means you don't have to wait for all the data to be exported before it can be analyzed—it can start working immediately! NDAA accomplishes this by using clusters to distribute the analytic workload across high-performance computing clusters. Clusters are groups of machines that work together toward common goals and objectives. They're also very good at math, which is why we call them "high-performance". So, what does this mean? It means that rather than exporting your data and then importing it back in after it has been analyzed, NDAA allows you to do those tasks while your data is still right where it belongs: inside your database! NDAA is a way of doing analytics directly in the database. It's like the anti-spam filter for your data because it keeps your information safe and secure. Imagine this: you've got a huge pile of information that you need to process, but it's all locked up in various databases and there are so many databases that even if you did have time to export everything and process it all outside of the system, you'd have to build a whole new building just for all those servers. That would be crazy! and expensive! Thankfully, NDAA is here to save the day. NDAA stands for Native Distributed Analytics Architecture, and it uses distributed computing platforms such as Hadoop to perform analytics directly in the database. So instead of exporting all your data from one place and then importing it back into another location before performing any analysis on it, NDAA allows businesses to perform analytics right there in their databases where they already know everything is secure and safe. This means less overhead in terms of storage space and network traffic--and even better: no need for an additional building or two's worth of server farms!

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