Problems: ETL of Boarding Loans ETL of loan boarding is a complex data integration ...
METL / Metadata ETL
Simplify Your Complex Data Integration
Our Technology: Data Rules Engine, Metadata Management and Json Processing
Dynamic ETL Integration between SQL, NoSQL, Cloud/Microservice and Flat Files
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Designing
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Dynamic Integration
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Metadata Management
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Java / Spring
We Have Many Innovations
METL's primary value to ETL is similar to Low Code programming tools. Most work can be done without manual coding. METL is a universal ETL engine designed for all major use cases across microservices, SQL, NoSQL and flat files. METL's multiple Rules Engine workflows can address the many complex data architecture paradigms from a data warehouse, data lake, data marts, ODS, search engines and application integration. METL can equally handle streaming, batch or files. We use Apache Kafka as our persisted message queue that can support client rest service pulling data.
METL uses Json for all internal processing which allows for easy integration and extensibility. Json processing also allows loosely bound coupling to the schema. That means changes to schema does not create fatal errors. METL's rule engine can detect and propagate real time schema changes while updating the data dictionary and logs. This rare functionality has several enterprise use cases.
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