#data-architecture

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Data science
fromZDNET
2 days ago

The hidden data crisis threatening your AI transformation plans

Siloed data limits holistic understanding, especially for AI applications.
#data-management
Data science
fromtowardsdatascience.com
2 months ago

Platform-Mesh, Hub and Spoke, and Centralised | 3 Types of data team

Data team structure is crucial to effectively leverage Data and AI in organizations.
A flexible and adaptive team structure enhances the ability to achieve meaningful results with Data and AI.
Data science
fromInfoWorld
1 month ago

What is data fabric? How it offers unified view of your data

Data fabric connects siloed data to enable unified access and management across an organization.
Data science
fromInfoWorld
1 week ago

Unlocking data's true potential: The open lakehouse as AI's foundation

The evolution to dynamic open lakehouse architectures is crucial for leveraging AI effectively.
Data science
fromtowardsdatascience.com
2 months ago

Platform-Mesh, Hub and Spoke, and Centralised | 3 Types of data team

Data team structure is crucial to effectively leverage Data and AI in organizations.
A flexible and adaptive team structure enhances the ability to achieve meaningful results with Data and AI.
Data science
fromInfoWorld
1 month ago

What is data fabric? How it offers unified view of your data

Data fabric connects siloed data to enable unified access and management across an organization.
Data science
fromInfoWorld
1 week ago

Unlocking data's true potential: The open lakehouse as AI's foundation

The evolution to dynamic open lakehouse architectures is crucial for leveraging AI effectively.
more#data-management
Data science
fromInfoWorld
1 month ago

Data mesh vs. data fabric vs. data virtualization: There's a difference

Data mesh is a decentralized approach where domain experts manage their own data, treating it as a product.
#data-engineering
Data science
fromMedium
4 months ago

Can Your Data Architecture Handle Tomorrow? Building for Flexibility and Lasting Impact

Good data architecture is essential for effective data engineering and organizational competitiveness.
fromMedium
4 months ago
Data science

Can Your Data Architecture Handle Tomorrow? Building for Flexibility and Lasting Impact

Data science
fromMedium
4 months ago

Can Your Data Architecture Handle Tomorrow? Building for Flexibility and Lasting Impact

Good data architecture is essential for effective data engineering and organizational competitiveness.
fromMedium
4 months ago
Data science

Can Your Data Architecture Handle Tomorrow? Building for Flexibility and Lasting Impact

more#data-engineering
fromTechzine Global
3 months ago

Yugabyte defines 3-pillars of scalable & resilient data architecture

Data distribution is the cornerstone of a resilient architecture. Sharding improves performance by partitioning databases, while replication ensures continuous availability.
Data science
Data science
fromInfoQ
4 months ago

The End of the Bronze Age: Rethinking the Medallion Architecture

A shift left approach is essential for operational and analytical use cases to reliably access trustworthy data.
Current multi-hop data architectures are inefficient and costly, necessitating a new processing strategy.
Artificial intelligence
fromTechCrunch
7 months ago

The Future of AI's Data Infrastructure: Unlocking the Power of Gen AI with MongoDB and Capgemini | TechCrunch

AI will be an integral part of the next generation of business applications, requiring a focused approach towards data accuracy and integration.
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