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 Systems platform. 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.
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HPCC Systems (High Performance Computing Cluster) is an open source, massive parallel-processing computing platform for big data processing and analytics.