Data comes in every possible format, schema, and structure. Writing the transformation, cleansing, and other logic to aggregate heterogeneous data is a thankless job. In this keynote, TDWI’s James Kobielus will discuss innovations that enable modern data professionals to accelerate the development and deployment of complex data integration jobs.
Key trends to be discussed include the following:
- Use of machine learning algorithms to author ETL and other data-integration logic
- Acquisition of reusable data-transformation jobs through cloud marketplaces
- Prebuilt templates for complex data-integration workflows
- AI-driven, no-code, declarative augmentation of data engineers’ self-service productivity in writing ETL scripts