Part 3-1 of Aster Data's series on writing with SQL-MapReduce provides details on the execution model.
SQL-MapReduce (SQL-MR) is a framework created by Aster Data to allow developers to write powerful and highly expressive SQL-MR functions in languages such as Java, C#, Python, C++, and R and push them into the database. Analysts can then invoke these functions using standard SQL through Aster Data's nCluster, the first MPP data warehouse that allows applications to be fully embedded within the database engine to enable ultra-fast, deep analysis of massive data sets.
SQL-MapReduce functions are simple to write and are seamlessly integrated within SQL statements. They rely on SQL queries to manipulate the underlying data and provide input. The functions can procedurally manipulate such input data and provide outputs that can be further consumed by SQL queries or written into tables within the database
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