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Multi-Style Data Integration for AI/ML
August 23, 2024

Multi-Style Data Integration for AI/ML: 3 Use Cases

by Kevin Petrie, BARC VP of Research

Because AI/ML projects involve multiple models and datasets, they also require multiple styles of data integration. This blog defines the most popular styles.

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Industry InsightsCData Virtuality
Live Data Connection
August 23, 2024

What is Live Data Connection

by Billy Allocca

Discover how data connection with CData Connect Cloud simplifies data integration, providing real-time insights without data movement. Perfect for business users in analytics and BI.

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Industry InsightsCData ConnectData Connectivity
AI/ML Innovation
July 11, 2024

AI/ML Innovation Requires a Flexible Yet Governed Data Architecture

by Kevin Petrie, BARC VP of Research

Data analytics in AI requires balancing flexibility for innovation with governance to mitigate risks like data integrity, privacy, bias, and explainability.

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Industry InsightsCData Virtuality
cdata logo
June 6, 2024

How to Integrate Data from Different Sources: What You Need to Know in 8 Actionable Tips

by Jerod Johnson

Unlock the power of unified data! Discover 8 proven strategies for integrating data from different sources and optimizing your data workflow.

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Data ManagementIndustry InsightsData Integration
dv session summaries
March 25, 2024

Data Virtualization, Reimagined: Session Wrap-Up

by Danielle Bingham

Couldn't make it to our 'Data Virtualization, Reimagined' virtual event? Don't worry, we've got you covered with a recap of the event's highlights and session insights.

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PartnersEvents & WebinarsIndustry InsightsCData SyncCData DriversCData Connect CloudData VirtualizationFuture of Data Virtualization
Data Virtualization, Reimagined: wrap-up
March 21, 2024

Data Virtualization, Reimagined: Reviewing the Past, Looking to the Future

by Danielle Bingham

Get the details of how data virtualization is changing to meet the needs of today’s data-centered organizations.

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Industry InsightsEvents & WebinarsCData SyncCData DriversData VirtualizationFuture of Data VirtualizationCData Connect Cloud
Data Mesh vs Data Fabric
March 18, 2024

Data Mesh vs Data Fabric: 5 Differences to Know Which One is Best for Your Business

by CData Software

Discover the differences between data mesh and data fabric, two approaches to managing data. Learn which one is right for your business needs.

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Data ManagementIndustry Insights
cdata virtuality
March 12, 2024

Enhancing Data Management with Data Warehouse Automation in Data Virtualization

by CData Software

By automating routine data tasks and optimizing data workflows, data warehouse automation introduces a significant efficiency upgrade, transforming the data processing and management landscape.

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Industry InsightsCData VirtualityData Virtualization
Redefining Leadership in Data Connectivity
February 29, 2024

Redefining Leadership in Data Connectivity Beyond Connector Count

by Ankit Singh

CData is driving innovation with our extensive library of 300+ connectors that offer seamless access to hundreds of diverse data sources. But leadership in this market goes beyond the sheer number of connectors offered.

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Industry InsightsData ConnectivityData Integration
Data Lake
February 15, 2024

What is a Data Lake? Definition, Challenges, and 3 Solutions

by Danielle Bingham

Discover the benefits of data lakes: get insights into how they work, types, and best practices for data management. Optimize your data with CData.

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Data ManagementIndustry InsightsCData Sync
cdata virtuality
February 14, 2024

Enhancing Data Virtualization with Replication – A Comprehensive Strategy for Data Architects

by CData Software

CData Virtuality integrates different data integration styles. Understand the pros and cons of the various integration methods, including data virtualization and data replication (ETL/ELT).

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Industry InsightsCData VirtualityData Virtualization
The Time Trap
February 2, 2024

The Time Trap: How Data Overload Impedes Actionable Insights

by Danielle Bingham

Data drives decision-making. More importantly, fresh data drives timely decision-making. Waiting for all the data you need could mean missed opportunities. But, acting before having all the data could translate to the same outcome.

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Industry InsightsCData ConnectData ConnectivityData SecurityIT Overwhelm