Michel A.

If you need a custom LLM and have massive domain data, JAX offers advantages over PyTorch for training—especially for distributed/TPU workloads & with functional programming. This nice course breaks down JAX for LLM development - https://lnkd.in/gh8phAtB

31

Want to build applications using data in the lakehouse? Lakebase eliminates the need for custom pipelines, syncing gold-layer data directly into a fully-managed Postgres database.

4

This post shows how to build automated evaluation framework and how it helps deliver reliable DynamoDB data modeling guidance at scale.

7

I enjoyed this article on scaling PostgreSQL. It’s a great reminder that real scalability often comes from disciplined operations, not shiny new technology. Continuous tuning beats constant reinvention. https://lnkd.in/gAZZm4hv

14

AI agents are only as powerful as their memory. Redis has been named the #1 data storage choice for AI agents in 2025. The reason? Redis delivers what AI truly needs: - Real-time vector storage - Semantic caching - Long-term memory for LLMs At Bassirah, we see this as validation of why Redis is central to the next generation of AI-native data platforms powering everything from agentic RAG systems to enterprise decision engines. 🔗 Read more: https://lnkd.in/db47k6zG #AI #Redis #RAG #LLM #DataEngineering #AIAgents #ArtificialIntelligence

2

🚀 Apache Spark lineage now available in Amazon SageMaker Unified Studio for IDC based domains. Track your data's journey across EMR and AWS Glue with full visibility into schema changes and transformations. What's new: ✅ Lineage capture for Spark jobs on EMR-EC2, EMR-Serverless, EMR-EKS, and AWS Glue ✅ Visual graph exploration in SageMaker Unified Studio ✅ API access for programmatic queries ✅ Historical comparison of transformations across job runs Why it matters: Quickly identify root causes of data issues and understand downstream impacts before making changes—critical for maintaining data quality at scale. Available now in all SageMaker Unified Studio regions for IDC-based domains. Read the What's New Post ⬇️ https://lnkd.in/gK_wR-2P 📹 Watch the attached 15-second demo to see it in action #AWS #DataLineage #ApacheSpark #SageMaker #DataEngineering #EMR #AWSGlue

173

1 Comment

This blog was written in collaboration with Camilo Leon and Kannan to showcase how you can seamlessly integrate your existing SQL Server data on Amazon RDS with Amazon SageMaker LakeHouse and use the Generative AI capabilities the service provides. #RDS #SageMaker

28

Data engineers can use Agent Bricks AI functions to modernize their data engineering practice by automating data extraction, summarization, and consolidation.

1