Tag: #ai
4 items with this tag.
Awesome Data Engineer
Data Engineer Articles Medium - Data Pipeline Development with MinIO, Iceberg, Nessie, Polars, StarRocks, Mage, and Docker Medium - ETL and ELT 🌟 (Recommended) Medium - ELT with Fabric, Azure and Databricks Medium - The Change Data Capture (CDC) Design Pattern 🌟 (Recommended) Medium - Apache Airflow Overview Blog - Data Lake vs Data Warehouse 🌟 (Recommended) ML4Devs - Scalable Efficient Big Data Pipeline Architecture MonteCarlo - Data Pipeline Architecture Explained: 6 Diagrams and Best Practices 🌟 (Recommended) Medium - Data Engineering Best Practices: How Big Tech & FAANG Firms Manage and Optimize Apache Kafka Medium - 5 Steps to Build Efficient Data Pipelines with Apache Airflow Blog - A Primer on Data Warehouses 🌟 (Recommended) Blog - Data Industry Primer 🌟 (Recommended) Onehouse - Comprehensive Data Catalog Comparison 🌟 (Recommended) Awesome Repositories awesome-apache-airflow: Curated list of resources about Apache Airflow awesome-bigdata: A curated list of awesome big data frameworks, resources and other awesomeness.
Awesome MLOps
Generals Articles Neptune.ai - MLOps Landscape in 2024: Top Tools and Platforms 🌟 (Recommended) Neptune.ai - MLOps Principles and How to Implement Them 🌟 (Recommended) Google Cloud - MLOps: Continuous delivery and automation pipelines in machine learning Datacamp - 25 Top MLOps Tools You Need to Know in 2025 Youtube - GPU Instance Selection: AI & LLM Inference Benchmarking 🌟 (Recommended) Blog - LLM Inference Speed Benchmarks Awesome Repositories awesome-mlops: A curated list of references for MLOps AI-Infra: init to record my learning path of AI Infra, especially on inference.
Caching and AI Delivery Boosting by Packaging and Model Caches
Quote Hello y’ @all guy, nice to see you here. BTW, How is your week ? I’m feel pleasure for what I am learning and doing right now, currently I enjoy with my new job and explore new strategies for keeping learn about architecture and growth up in tech fields.
What is Milvus?
Quote Hi @all, I’am back after the week to take the break, but unlucky I have sick and don’t have much time to think about the ideal to work with DevOps, Kubewekend or Cloud Services.