Optimize your Email Marketing strategy with automated Machine Learning

https://towardsdatascience.com/optimize-your-email-marketing-strategy-with-automated-machine-learning-e1bfb8cc171b?source=rss----7f60cf5620c9---4

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Large SAP tables which are good candidates for partitioning

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Partitioning in SAP HANA database

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SAP HANA exploits partitioning in SAP BW for optimization

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Partitioning significantly improves query performance, based on the types of queries and on your hardware configuration as the system will find faster the requested information, because it will filter out all the irrelevant partitions and thus reduce the data volume to be read. This is a standard feature in most databases but SAP did not truly exploit this feature being database agnostic until HANA. In SAP/R3, SAP provided partition keys for BW but did not partition data during installation. With HANA the table partitioning/distribution is automated for SAP NetWeaver Business Warehouse. Database tables created for InfoCubes or classic DataStore objects are partitioned on the database. While the technical partitioning of data at database level helps optimizing the runtime of BW processes to a great extent, they alone are inadequate in building and maintaining data warehouses that scale easily with growing data volumes. Hence, to address some of the aspects of dealing with ...
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