Connecting to an ETL Engine
The default Anzo installation includes a pre-configured local Spark ETL engine and Sparkler ETL compiler. Sparkler is Cambridge Semantics' Spark SPARQL interpreter. The Sparkler interpreter expresses Spark ingestion jobs as SPARQL, which adds benefits such as support for ingesting wide CSV files with a large number of columns. The topics in this section provide instructions for changing the configuration of the local engines or connecting to an alternate Spark ETL engine or Sparkler compiler.