The New York Mets and SAS, a leader in business analytics, has announced a partnership that will see the Club use SAS analytics to help analyze fan data at an individual level to engage with them in a meaningful way.
Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who seeks a discussion of missing data handling methods such as imputation.
“In-memory data grids offer an important storage alternative that dramatically lowers cost and boosts application performance. The foundation of an IMDG is fast, scalable distributed caching, which keeps rapidly changing data close to where it is needed and quickly accessible.”
With a hybrid approach to big data storage, companies can combine the high performance and speed capabilities of in-memory while solving the storage issues by putting the vast historical data sets on disk. By bridging available technologies, companies can deliver on all counts – including cost. [Read More...]
In this special guest feature, Dr. Michael Blaha from Modelsoft Consulting Group provides a series of 10 useful guidelines for obtaining good performance with traditional relational databases. Michael Blaha is a consultant and trainer who specializes in conceiving, architecting, modeling, designing and tuning databases. [Read More...]
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