Audience
DBAs and DW ETL architects needing to rapidly unload very large database tables
About IRI Fast Extract (FACT)
IRI FACT™ (Fast Extract) rapidly unloads large tables to external files using DB-native APIs, SQL SELECT syntax, and a choice of split (parallel) query methods.
Unlike other database unload methods (e.g., Oracle data pump), FACT creates portable flat files. Your 'dump-table-to-file' data is thus quickly available for any purpose, including: reorgs, transforms, pre-load sorting, migrations, change and summary reporting, ETL, replication, testing, and protection.
If you also use the IRI Voracity platform or IRI CoSort product, you can use their core SortCL program to perform or accelerate all these post-extraction steps at once. But you do not have to use SortCL; i.e., once the data are in flat files, you can do anything you want with them.
FACT's extract performance is second to none. Using superior connection protocols, parallel hints and queries, and a variety of other proprietary techniques, FACT's unload rate is much faster than database spool or export functions.
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These IRI products address data integration and staging (ETL/ELT), big data packaging and provisioning, BI reporting and data wrangling (preparation) and DevOps. Use them alone or in the IRI Voracity platform to: improve data quality; speed sorting and data transformation; migrate and replicate data; replace legacy sorts; and, synthesize (plus virtualize) smart RDB and file test data.
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2) Speed or LEAVE legacy sort and ETL tools
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4) FIND PII everywhere and consistently MASK it for referential integrity
5) Score re-ID risk and ANONYMIZE quasi-identifiers
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Pricing
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Integrations
Company Information
IRI, The CoSort Company
Founded: 1978
United States
www.iri.com/products/fact
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Product Details
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Windows
Mac
Linux
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IRI Fast Extract (FACT) Frequently Asked Questions
IRI Fast Extract (FACT) Product Features
Data Extraction
Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
ETL
Data Filtering
Metadata Management
Non-Relational Transformations
Data Analysis
Data Quality Control
Job Scheduling
Match & Merge
Version Control
