Advanced ECL - Working with Relational Data
This class examines in detail the ECL functions that make it easy to work with Relational data in the HPCC system. ECL began as an extremely powerful query language built around easily querying into Relational Data. The techniques taught here reveal that power to its fullest.
Course Length: 2 days
Class Prerequisites: Students must have attended the Introduction to ECL and Introduction to Thor Training classes. Students are welcome to bring their own laptops to take away the code and examples from the class.
- Creating hierarchical relational datasets (Nested Child Datasets)
- Nested Child Dataset Definitions (RECORD/DATASET)
- NORMALIZE and DENORMALIZE
- Complex Multi-level Relational Querying
Class begins Monday at 1pm and concludes at 5pm.
Class begins Tuesday at 9am and concludes at 5pm.
Class begins Wednesday at 9am and concludes at 12pm.
When & Where
HPCC Systems® (www.hpccsystems.com) from LexisNexis® Risk Solutions offers a proven, data-intensive supercomputing platform, designed for the enterprise, to process and solve Big Data analytical problems. As an alternative to legacy technology, HPCC Systems offers a consistent data-centric programming language, two processing platforms and a single, complete end-to-end architecture for efficient processing.