#data-architecture

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3 weeks 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.
#ai

The Architect's Guide to Interoperability in the AI Data Stack

Interoperability is essential for avoiding vendor lock-in and ensuring flexibility in AI data architectures.

7 Reasons to Adopt Better Data Architectures in the Age of AI | Entrepreneur

Modern data architecture revolutionizes data management by enhancing scalability, security, and real-time insights, crucial for businesses in the digital age.

The Architect's Guide to Interoperability in the AI Data Stack

Interoperability is essential for avoiding vendor lock-in and ensuring flexibility in AI data architectures.

7 Reasons to Adopt Better Data Architectures in the Age of AI | Entrepreneur

Modern data architecture revolutionizes data management by enhancing scalability, security, and real-time insights, crucial for businesses in the digital age.
moreai

Change Data Capture (CDC) When There is no CDC | HackerNoon

CDC is essential for incremental data change tracking, minimizing need for full dataset reprocessing.

Architecting for Data Products

Understanding data architectures reveals patterns rather than specific solutions to optimize how organizations use their data resources.

YC alum Odigos aims to help enterprises find errors and stamp out latency in their systems | TechCrunch

Modern data architecture outpaces existing monitoring tools, complicating error diagnosis for engineering teams.
Odigos aims to streamline observability for complex cloud-native systems.
#data-management

Mind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team - DATAVERSITY

Modernizing analytics requires shifting focus from data quantity to quality and usability.

What Is Data Architecture? Overview and Best Practices

Data architecture is crucial for managing and utilizing data effectively in a business.

Mind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team - DATAVERSITY

Modernizing analytics requires shifting focus from data quantity to quality and usability.

What Is Data Architecture? Overview and Best Practices

Data architecture is crucial for managing and utilizing data effectively in a business.
moredata-management

Web3 Data Engineering Crash Course | HackerNoon

Web3 data architecture is transforming how enterprise and scientific data are approached, emphasizing cross-organizational data exchange over internal data.

Incremental Data Processing with Apache Hudi

Apache Hudi enables efficient incremental data processing by bridging batch and stream processing models.
The framework is critical for modern organizations handling large volumes of timely data updates.

Data Architect: Roles, Skills, and How to Become One in 2024

Businesses actively analyze data for better decisions; spending on data to rise.
Data architecture crucial for organizing data for efficient utilization and security in enterprises.

What Is a Data Dictionary? - DATAVERSITY

Data dictionaries describe data in business terms, supporting data architectures.
Data dictionaries document physical data models and align with changes in the data platform.

How to Become a Data Engineer - DATAVERSITY

Data engineers design and maintain data systems, work with scripting languages, and improve data quality.
Demand for data engineers is growing due to the need for strong data architecture in the modern world.

MarTech in 2024: Who will be the enterprise and vendor winners and losers? | MarTech

AI technology is becoming enterprise-ready for enhancing customer experience and driving revenue.
2024 is focused on preparation for utilizing AI-enabled applications to transform marketing strategies and ensure data accuracy.

Empowering Developers Fuels IT Resilience and Business Transformation - DevOps.com

Developers are facing increased pressure to drive digital transformation projects with limited resources.
IT leaders need to provide simplified and trustworthy data architectures to support developers and DevOps teams.

7 ways to make sure your data is ready for generative AI

Getting AI to meet high expectations requires viable, quality data.
IT and data managers need to develop a clear view of the data implications of generative AI.
Organizations need to rethink their data architecture to support generative AI initiatives.
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