dwSavvy
... platform for service oriented bulk data processing ...
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Data Profiling
New to dwSavvy? Read about - Platform Fundamentals
Features
Features
1. Scalable: Can profile several meta units (files, tables, dimensions, facts) is parallel in a cluster of nodes.
2. Simple setup: (a) Enter the Meta Unit metadata using GUI, (b) Create a Job by applying a data service (process) to the Meta Unit to be profiled (c) schedule and run.
3. Track historical profile results per batch.
4. QA Profile Results
Performance Benchmark
2. Simple setup: (a) Enter the Meta Unit metadata using GUI, (b) Create a Job by applying a data service (process) to the Meta Unit to be profiled (c) schedule and run.
3. Track historical profile results per batch.
4. QA Profile Results
• User time series graphs to view trends in profiled data across historical batches to make your data quality determination.
• Compare data profile results at various ETL stages to make quality decisions — see savvySolution
• Hardware (HP Pavilion zd8000 laptop)
Click here for PDF | HTML User Guides (ver 1.4)
• P4 HT Single CPU – 2.8GHz
• 1 GB RAM
• OS
• 1 GB RAM
• XP professional with sp-2
• File Details
• Size: ~400 MB
• Profiled Columns: 6 (3 numeric and 3 strings)
• Total records: 10 Million
Total Time: 27 min
• Profiled Columns: 6 (3 numeric and 3 strings)
• Total records: 10 Million