Automatic, aligned data wrangling in TIBCO Spotfire lets users connect, blend, clean, and wrangle data from any source including big data stores.
Fast and Easy Inline Data Wrangling
- Inline data wrangling lets business users make adjustments: Mashup columns and rows from numerous data sources; modify data type, category, and column name; animatedly group columns from visualizations; split smart columns; and cleanse data by replacing wrong or missing values.
Self-documenting Data Canvas
- As you wrangle data, Spotfire automatically builds a data pipeline on the source view data canvas that documents all the changes made. The data model can be exported for reuse.
Turbocharged Recommendations Engine
- Automatic recommendations for data structure and relationships in-memory and in-database save time.
Broad, Automated Data Access
- With native connectors, easily connect to and blend data from relational and NoSQL databases; OLAP; Apache Drill, Hadoop, and Spark SQL; and many others. Natural Language Query lets user search for any data or connector.
Automation & Scalability
- Spotfire Automation Services automates jobs like data loading, wrangling, transformation, and data and PDF export. Files load using smart memory sharing, serving tens of thousands of users with only a fraction of the memory otherwise required.