The Big Data Processing Environment represents an environment capable of handling the range of distinct requirements of large-scale dataset processing.

Required (Core)

• Large-Scale Batch Processing
• High Velocity Realtime Processing
• Large-Scale Graph Processing

Optional (Extension)

• Automated Processing Metadata Insertion
• Intermediate Results Storage
• Complex Logic Decomposition
• Processing Abstraction
• Cloud-based Big Data Processing

This pattern is covered in BDSCP Module 10: Fundamental Big Data Architecture.

For more information regarding the Big Data Science Certified Professional (BDSCP) curriculum,
visit www.arcitura.com/bdscp.