The Operational Data Store (ODS) compound pattern represents a solution environment such that the Big Data platform’s inexpensive NoSQL storage can be utilized as a traditional ODS where transactional data from operational systems across the enterprise is collected for operational BI and reporting.

Required (Core)

• Relational Source
• High Volume Tabular Storage
• Automatic Data Sharding
• Relational Sink
• Indirect Data Access

Optional (Extension)

• Data Size Reduction
• Streaming Access Storage
• Large-Scale Batch Processing
• Automated Dataset Execution

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.