The Application Enhancement compound pattern represents a solution environment where the Big Data platform is used to ingest large amounts of data in order to calculate certain statistics or execute a machine learning and then to feed results to downstream systems.

Required (Core)

• Streaming Access Storage
• Random Access Storage
• Automatic Data Replication and Reconstruction
• Poly Source
• Large-Scale Batch Processing
• Automated Dataset Execution

Optional (Extension)

• Large-Scale Graph Processing
• Realtime Access Storage
• Poly Sink
• Canonical Data Format
• Data Size Reduction

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.