MuleSoft DataWeave – Advanced

Module 1: DataWeave 2.0 Deep Dive

• Functional programming concepts in DataWeave
• Type system: Any, String, Number, Boolean, Object, Array
• Null handling: null propagation and default values
• Metadata and type inference
• Script structure: header and body
• DataWeave vs Java for transformations

Module 2: Advanced Selectors & Navigation

• Single-value selector and multi-value selector
• Descendants selector for deep traversal
• Dynamic selectors using variables
• Index selector and range selector
• Key-value pair selector
• XML attribute and namespace navigation

Module 3: Functional Programming

• Higher-order functions: map, filter, reduce, flatMap
• Function composition and pipe operator
• Lambda expressions and closures
• Recursive functions for tree structures
• Pattern matching with match-case
• Memoisation for performance

Module 4: Complex Transformations

• Many-to-one: aggregating multiple sources
• One-to-many: splitting payloads
• Hierarchical to flat structure transformation
• Flat to hierarchical groupBy and reduce
• EDI X12 and EDIFACT parsing
• Fixed-width and flat file formats

Module 5: Custom Modules & Libraries

• Creating reusable DataWeave modules
• Import and function namespacing
• Shared transformation libraries in Exchange
• Version management for DW modules
• Unit testing DataWeave in MUnit
• Documentation standards for DW libraries

Module 6: Format Handling

• JSON: advanced parsing and formatting options
• XML: namespace handling and CDATA
• CSV: custom delimiters and schema
• Java object serialisation and deserialisation
• Binary and octet-stream handling
• Multi-part form data transformation

Module 7: Performance Optimisation

• Streaming vs buffering: when to stream
• Deferred execution and lazy evaluation
• Avoiding unnecessary materialisation
• Large payload handling strategies
• Profiling DataWeave execution time
• Memory-efficient patterns for big data

Module 8: Edge Cases & Real-World Scenarios

• Handling inconsistent data: null, missing keys
• Character encoding issues and normalisation
• Date and time zone conversions
• Currency and numeric precision handling
• Multi-language string handling
• Real-world customer integration case studies

Our MuleSoft instructors are MuleSoft Certified Platform Architects and Developers who have built enterprise integration solutions on the Anypoint Platform for Fortune 500 companies across banking, retail, healthcare, and manufacturing. They combine deep Anypoint Platform expertise with real-world API-led connectivity design patterns and DataWeave transformation mastery.