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Description
A fast extract step can be a critical component of:
database archive and replication
database reorgs and migrations
data warehouse ETL, ELT, and ODS operations
offline reporting and bulk data protection
IRI Fast Extract (FACT™) is a parallel unload utility for very large database (VLDB) tables in:
Oracle DB2 UDB MS SQL Server
Sybase MySQL Greenplum
Teradata Altibase Tibero
FACT uses simple job scripts (supported in a familiar Eclipse GUI) to rapidly create portable flat files. FACT's speed comes from native connection protocols and proprietary split query logic that unloads billions of rows in minutes.
Although FACT is a standalone, application-independent utility, it can also work nicely with other programs and platforms. For example, FACT optionally creates metadata for data definition files (.DDF) that IRI CoSort and its compatible data management and protection tools can use to manipulate the flat files. FACT also automatically creates database load utility configuration files for the same source.
FACT is also an optional, seamlessly integrated component in the IRI Voracity ETL and data management platform.
The automatic metadata creation -- and coexistence of other IRI software in the same IDE --
Description
Power Query provides a user-friendly solution for connecting, extracting, transforming, and loading data from a variety of sources. Acting as a robust engine for data preparation and transformation, Power Query features a graphical interface that simplifies the data retrieval process and includes a Power Query Editor for implementing necessary changes. The versatility of the engine allows it to be integrated across numerous products and services, meaning the storage location of the data is determined by the specific application of Power Query. This tool enables users to efficiently carry out the extract, transform, and load (ETL) processes for their data needs. With Microsoft’s Data Connectivity and Data Preparation technology, users can easily access and manipulate data from hundreds of sources in a straightforward, no-code environment. Power Query is equipped with support for a multitude of data sources through built-in connectors, generic interfaces like REST APIs, ODBC, OLE, DB, and OData, and even offers a Power Query SDK for creating custom connectors tailored to individual requirements. This flexibility makes Power Query an indispensable asset for data professionals seeking to streamline their workflows.
API Access
Has API
API Access
Has API
Integrations
IBM Db2
MySQL
SQL Server
Adobe Analytics
AtScale
Azure Data Lake
Azure DevOps Server
Exasol
Google Analytics
IBM Informix
Integrations
IBM Db2
MySQL
SQL Server
Adobe Analytics
AtScale
Azure Data Lake
Azure DevOps Server
Exasol
Google Analytics
IBM Informix
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IRI, The CoSort Company
Founded
1978
Country
United States
Website
www.iri.com/products/fact
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
powerquery.microsoft.com/en-us/
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 Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Product Features
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control