The Reusability Paradigm of LookML

A key difference of LookML is that, unlike older approaches, it combines modeling, transformations, and derivations at the same layer (late-binding modeling). This allows vast amounts of data to be captured in relatively inexpensive databases (mirrored or copied), and then derivations and transformations occur much closer to, or at, query time. The result is a very agile data environment where user questions can change and the data environment can better keep up.
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Analytics on Salesforce Data Demo
Analytics on Salesforce Data Demo

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Essential Guide to Amazon Redshift for Analytics
Essential Guide to Amazon Redshift for Analytics

Amazon Redshift is a fully managed, high-performance MPP data warehouse solution in the cloud that can scal...

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