Teradata Aster SNAP Framework

Aster Discovery Platform- powerful, high impact insights from big data through an integrated solution optimized for multiple analytics on all data with speed and minimal effort.

So SNAP™ enables some unique and important capabilities. But how does it work? It combines four main components.

1. A query optimizer that understands SQL, MapReduce and Graph; and that can be extended to additional analytical engines in the future, in a plug-and-play manner. The optimizer is comfortable with both relational and file-based data, and also has internal APIs that allow for future data storage engine extensions;
2. An execution engine that when given a diverse analytical plan from the optimizer knows how to combine the data with the analytics in an analytics & data agnostic manner;
3. A unified SQL framework that ties together all the different analytical engines, whether MapReduce, Graph or future additions. This is critical because it enables SQL analysts, as well as Visualization tools that use SQL, to take advantage of powerful analytics (like Graph) without the need to hire an army of Java developers;
4. A layer that integrates and manages resources, including storage resources, CPU, IO, memory etc.

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