#data-architecture

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fromTechzine Global
1 month ago

AI only works if the infrastructure is right

Robust AI infrastructure is essential for successful implementation and scalability.
fromInfoWorld
1 month ago

Designing a metadata-driven ETL framework with Azure ADF: An architectural perspective

A metadata-driven ETL framework enhances scalability and security in integrating various data sources through Azure Data Factory, reducing manual rework.
DevOps
Data science
fromInfoQ
1 month ago

HTAP: The Rise and Fall of Unified Database Systems?

HTAP has not achieved its goal of unifying transaction and analytical processing, leading experts to prefer specialized systems.
Data science
fromZDNET
1 month ago

The hidden data crisis threatening your AI transformation plans

Siloed data limits holistic understanding, especially for AI applications.
Data science
fromInfoWorld
2 months 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.
fromTechzine Global
3 months ago

Redis readies generative AI developer toolset

Redis introduces LangCache, a managed semantic caching service designed for AI developers to improve data retrieval and reduce costs.
Data science
fromInfoWorld
3 months 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 science
fromInfoWorld
3 months 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
fromtowardsdatascience.com
4 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-engineering
Data science
fromMedium
6 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
6 months ago
Data science

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

Good data architecture is vital for effective data engineering and organizational competitiveness.
Data science
fromMedium
6 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
6 months ago
Data science

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

more#data-engineering
fromTechzine Global
5 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
fromInfoQ
6 months ago

The End of the Bronze Age: Rethinking the Medallion Architecture

Operational and analytical use cases face significant challenges accessing trustworthy data; a shift left approach is essential for providing relevant and complete data.
Data science
fromTechCrunch
9 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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