Arc is an opinionated framework for defining data pipelines which are predictable, repeatable and manageable.
Arc-Jupyter is an interactive Jupyter Notebooks Extenstion for building Arc data pipelines via Jupyter Notebooks.
Provides the SAS Extract stage
Provides KafkaExtract, KafkaLoad and KafkaCommitExecute stages
Provides the CypherTransform and GraphTransform stages
Provides ElasticsearchExtract and ElasticsearchLoad stages
Provides the CassandraExtract, CassandraExecute, and CassandraLoad stages
Provides the DeltaLakeExtract and DeltaLakeLoad stages
Creates a list of formatted dates to easily calculate delta processing periods.
arc-dataquality-udf-plugin defines a set of data quality/validation user defined functions.
Provides the MongoDBExtract and MongoDBLoad stages
