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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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Exploring the GartnerĀ® Critical Capabilities for Data Integration Report Tools

Data Virtualization

The post Exploring the GartnerĀ® Critical Capabilities for Data Integration Report Tools appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information. In this post, Iā€™d like.

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Data Integration: Itā€™s not a Technological Challenge, but a Semantic Adventure

Data Virtualization

The post Data Integration: Itā€™s not a Technological Challenge, but a Semantic Adventure appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Denodo recognized asĀ a Leader in the 2023 GartnerĀ® Magic Quadrantā„¢ for Data Integration ReportĀ 

Data Virtualization

Reading Time: 3 minutes Denodo was recognized as a Leader in the 2023 GartnerĀ® Magic Quadrantā„¢ for Data Integration report, marking the fourth year in a row that Denodo has been recognized as such. I want to highlight the first of three strategic planning.

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SQL and Data Integration: ETL and ELT

KDnuggets

In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources.

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Apache Kafka and the Denodo Platform: Distributed Events Streaming Meets Logical Data Integration

Data Virtualization

It can benefit the management of microservices, The post Apache Kafka and the Denodo Platform: Distributed Events Streaming Meets Logical Data Integration appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Data Integrity, the Basis for Reliable Insights

Sisense

However, as a data team member, you know how important data integrity (and a whole host of other aspects of data management) is. In this article, weā€™ll dig into the core aspects of data integrity, what processes ensure it, and how to deal with data that doesnā€™t meet your standards.