TDWI Checklist Report: Optimizing Data Quality for Big Data
Adapt current data management practices for big data and new data sources
You need to realize the most value possible from new data assets—but your existing data management skills, teams, and tools aren't designed to handle big data. How can you adjust, optimize, and extend them to deliver the kind of analytics, operational reporting, self-service, and governance your organization expects?
TDWI's Checklist Report, "Optimizing Data Quality for Big Data," explains how to adapt your existing data management best practices to ensure quality for big data. Download your free copy to learn about:
- Specific technology and business requirements for managing big data
- Data quality's role in deriving maximum business value from new data assets
- The importance of supporting all data quality functions on a unified platform
You're already familiar with data quality challenges like standardization, deduplication, matching, profiling and monitoring, multi-domain data, and automation. Download the TDWI report today to find out how to address them at scale.