Shulou(Shulou.com)06/03 Report--

As a high-performance computing data warehouse, SPL Server can provide efficient computing output in four aspects: offline batch running, online query, multidimensional analysis and memory computing, to help users solve these problems caused by performance:

1. I can't finish running in the middle of the night. I made a mistake and didn't have time to come back.

two。 Look at the report and wait for 10 minutes, and the business staff will pat the table.

3. The correlation statistical operation is slow, the interface dragging is slow, and the general scheme of pre-transfer takes up too much space and has many functional blind areas.

4. Spent a lot of money on the in-memory database, the performance is still not ideal

...

In the face of these problems, no-ask stand-alone and cluster, no-ask international big names and domestic rookies, no-question MPP and HADOOP, the average speed of the aggregator is 10 times faster under the same hardware conditions!

* understand the applicable scenarios of aggregators: performance optimization scenarios of aggregators

* details: run-batch speed-up plan for data warehouse

* details: query the speed-up plan online

* details: aggregator multi-dimensional analysis server scheme

* details: new generation of memory computing engine

* case details: optimization of batch performance of related business of historical insurance policies in insurance industry

* case details: large concurrent real-time query solution for massive accounts

* case details: multi-user self-help analysis speed-up scheme for banking industry with large amount of data

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