An axiom of big data say that, as data volume and complexity grows, it becomes harder for organizations to extract meaning from the data. One solution to this dilemma that is gaining momentum is data ...

The company has been launching refinements to its blending capability to combine data from multiple sources without requiring a separate integration tool or advanced technical assistance.

Pentaho calls this release a “complete redesign and overhaul of its data integration and analytics platform,” according to IDG. The reason for the overhaul: Pentaho wants to build a solution from the ...

The advent of NoSQL and Hadoop data stores is giving organizations powerful tools to collect vast amounts of data. However, driving actionable insights out of that data--and doing so in a reasonable ...

Blending at the source during the data integration process also ensures the underlying semantic remains intact and that the blend is not only available but also trackable.

Data blending is considered an important part of data cleaning and wrangling. Read on to learn more about how it can help your business.

New Release of Alteryx Analytics Expands Integration with Tableau, Hadoop and Excel; Adds Google BigQuery Support PR Newswire IRVINE, Calif., Sept. 4, ...

Data virtualization addresses the data movement challenge by ensuring data remains at the source — yet is also available for consumption in real-time for consuming applications.

One reason why big data blending is so important is that blending enables uncommon types of data to coexist in a common data repository.

There are many similarities between data migration and data integration, but they also have some key differences. Learn what they are.