Abstract
The HPCC (High Performance Cluster Computing) architecture is driven by a proprietary data processing language: Enterprise Control Language (ECL). When considered briefly, the proprietary nature of ECL may be perceived as a disadvantage when compared to a widespread query language such as SQL.
This chapter has been adopted from the white paper authored by David Bayliss, Lexis Nexis.
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In such a situation, the main strength of the analysis will have been performed during the record selection process.
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© 2016 Springer International Publishing Switzerland
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Bayliss, D. (2016). Aggregated Data Analysis in HPCC Systems. In: Big Data Technologies and Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-44550-2_8
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DOI: https://doi.org/10.1007/978-3-319-44550-2_8
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-44550-2
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