Audience

Companies looking for a data refinery solution for their data preparation and management operations

About IBM Data Refinery

Available in IBM Watson® Studio and Watson™ Knowledge Catalog, the data refinery tool saves data preparation time by quickly transforming large amounts of raw data into consumable, quality information that’s ready for analytics. Interactively discover, cleanse, and transform your data with over 100 built-in operations. No coding skills are required. Understand the quality and distribution of your data using dozens of built-in charts, graphs, and statistics. Automatically detect data types and business classifications. Access and explore data residing in a wide spectrum of data sources within your organization or the cloud. Automatically enforce policies set by data governance professionals. Schedule data flow executions for repeatable outcomes. Monitor results and receive notifications. Easily scale out via Apache Spark to apply transformation recipes on full data sets. No management of Apache Spark clusters needed.

Pricing

Free Trial:
Free Trial available.

Integrations

API:
Yes, IBM Data Refinery offers API access

Ratings/Reviews

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Company Information

IBM
Founded: 1911
United States
www.ibm.com/products/data-refinery

Videos and Screen Captures

IBM Data Refinery Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Webinars
Support
Phone Support
24/7 Live Support
Online

IBM Data Refinery Frequently Asked Questions

Q: What kinds of users and organization types does IBM Data Refinery work with?
Q: What languages does IBM Data Refinery support in their product?
Q: What kind of support options does IBM Data Refinery offer?
Q: What other applications or services does IBM Data Refinery integrate with?
Q: Does IBM Data Refinery have an API?
Q: What type of training does IBM Data Refinery provide?
Q: Does IBM Data Refinery offer a free trial?

IBM Data Refinery Product Features

Data Preparation

Data Access
Data Blending
Data Mashup
Data Transformation
Data Modeling
Visual User Interface
Collaboration Tools
Data Governance
Machine Learning
Data Cleansing