The article discusses the evolution of Online Analytical Processing (OLAP) databases, highlighting their initial reliance on pre-computed OLAP cubes for quicker analytical queries. However, the drawbacks, including slow report generation and high costs of computation, led to a decline in their popularity by 2005, as organizations shifted to big data solutions like data lakes and Hadoop. Emerging technologies now offer more efficient querying methods, such as materialized views, enabling faster access to processed data while addressing previous limitations concerning data freshness and storage requirements.
Another way to save time on complex analysis queries is to use materialized views. Essentially, a view that is stored and updated periodically, allowing faster access to pre-calculated results.
The powerful language, based on a 1962 book by Ken Iverson, A Programming Language, was and is notable for three things: its use of Greek letters and mathematical symbols, requiring a special APL keyboard; its compact, nearly "write-only" notation; and its multidimensional arrays.
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