Apache-Spark based Data Flow(ETL) Framework which supports multiple read, write destinations of different types and also support multiple categories of transformation rules.
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Add support for schema registry module with support for multiple versions of schema #27
Functionality / Module required for validation and transformation of a feed schema. Maintaining the versions of a schema is one of the basic requirement. Also, the schema should be easily accessible from various endpoints based on different methods.
Schema registry framework in future can be extensible for storing different vendors data-types mapping.
Functionality / Module required for validation and transformation of a feed schema. Maintaining the versions of a schema is one of the basic requirement. Also, the schema should be easily accessible from various endpoints based on different methods.
Schema registry framework in future can be extensible for storing different vendors data-types mapping.