Data transformation represents a solution environment where the Big Data platform is exclusively used for transforming large amounts of data obtained from a variety of sources.

Required (Core)

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

Optional (Extension)

• Complex Logic Decomposition
• Automatic Data Sharding
• High Volume Tabular Storage
• High Volume Hierarchical Storage
• Data Size Reduction
• Direct Data Access

This pattern is covered in BDSCP Module 2: Big Data Analysis & Technology Concepts.

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