The End of the Bronze Age: Rethinking the Medallion ArchitectureA 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.
Incremental Data Processing with Apache HudiApache 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.
The End of the Bronze Age: Rethinking the Medallion ArchitectureA 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.
Incremental Data Processing with Apache HudiApache 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.
Nov 13 AArch Webinar: Designing a Data Platform for the Future - Principles, Patterns, and Best Practices for Data Fabrics and Data Meshes - DATAVERSITYModern architectures like data fabrics and data meshes provide innovative solutions for managing complex data ecosystems.
Jan 9 AArch Webinar: 2025 Trends in Analytics Architecture - DATAVERSITYData and analytics architecture is transforming in 2025 due to AI and complex enterprise ecosystems.
Nov 13 AArch Webinar: Designing a Data Platform for the Future - Principles, Patterns, and Best Practices for Data Fabrics and Data Meshes - DATAVERSITYModern architectures like data fabrics and data meshes provide innovative solutions for managing complex data ecosystems.
Jan 9 AArch Webinar: 2025 Trends in Analytics Architecture - DATAVERSITYData and analytics architecture is transforming in 2025 due to AI and complex enterprise ecosystems.
Feb 13 AArch Webinar: Standardizing Data Collaboration - The Role of Open Table Formats in Data Architecture - DATAVERSITYOpen table formats are critical for enabling seamless data collaboration in complex data ecosystems.
The HackerNoon Newsletter: DIY Tagged Cache (12/10/2024) | HackerNoonAI ethics education is lagging in schools despite growing importance.Integrating ethical considerations into tech education is essential for future readiness.
from TechCrunch3 months agoThe Future of AI's Data Infrastructure: Unlocking the Power of Gen AI with MongoDB and Capgemini | TechCrunchAI will be an integral part of the next generation of business applications, requiring a focused approach towards data accuracy and integration.
The Architect's Guide to Interoperability in the AI Data StackInteroperability 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 | EntrepreneurModern 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 StackInteroperability 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 | EntrepreneurModern data architecture revolutionizes data management by enhancing scalability, security, and real-time insights, crucial for businesses in the digital age.
Change Data Capture (CDC) When There is no CDC | HackerNoonCDC is essential for incremental data change tracking, minimizing need for full dataset reprocessing.
Architecting for Data ProductsUnderstanding 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 | TechCrunchModern data architecture outpaces existing monitoring tools, complicating error diagnosis for engineering teams.Odigos aims to streamline observability for complex cloud-native systems.
Mind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team - DATAVERSITYModernizing analytics requires shifting focus from data quantity to quality and usability.
What Is Data Architecture? Overview and Best PracticesData architecture is crucial for managing and utilizing data effectively in a business.
Mind the Gap: Start Modernizing Analytics by Reorienting Your Enterprise Analytics Team - DATAVERSITYModernizing analytics requires shifting focus from data quantity to quality and usability.
What Is Data Architecture? Overview and Best PracticesData architecture is crucial for managing and utilizing data effectively in a business.
Web3 Data Engineering Crash Course | HackerNoonWeb3 data architecture is transforming how enterprise and scientific data are approached, emphasizing cross-organizational data exchange over internal data.
Data Architect: Roles, Skills, and How to Become One in 2024Businesses 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? - DATAVERSITYData 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 - DATAVERSITYData 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? | MarTechAI 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.comDevelopers 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.