Tag: Airflow
-
Cloud Blog: Cloud Composer 3: The next generation of data pipeline orchestration
Source URL: https://cloud.google.com/blog/products/data-analytics/cloud-composer-3-for-apache-airflow/ Source: Cloud Blog Title: Cloud Composer 3: The next generation of data pipeline orchestration Feedly Summary: As any data team can tell you, managing Apache Airflow is often a complex undertaking, with many hours spent wrestling with reliability, security, and efficient resource scaling. This valuable time could be better spent deriving insights…
-
AWS News Blog: Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available
Source URL: https://aws.amazon.com/blogs/aws/collaborate-and-build-faster-with-amazon-sagemaker-unified-studio-now-generally-available/ Source: AWS News Blog Title: Collaborate and build faster with Amazon SageMaker Unified Studio, now generally available Feedly Summary: Amazon SageMaker Unified Studio is a single data and AI development platform that brings data together with analytics and AI/ML tools, including Amazon Bedrock and Amazon Q Developer, to streamline analytics and AI…
-
Hacker News: Apache Airflow: Key Use Cases, Architectural Insights, and Pro Tips
Source URL: https://codingcops.com/apache-airflow/ Source: Hacker News Title: Apache Airflow: Key Use Cases, Architectural Insights, and Pro Tips Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses Apache Airflow, an open-source tool designed for managing complex workflows and big data pipelines. It highlights Airflow’s capabilities in orchestrating ETL processes, automating machine learning workflows,…
-
Hacker News: We need data engineering benchmarks for LLMs
Source URL: https://structuredlabs.substack.com/p/why-we-need-data-engineering-benchmarks Source: Hacker News Title: We need data engineering benchmarks for LLMs Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses the shortcomings of existing benchmarks for evaluating the effectiveness of AI-driven tools in data engineering, specifically contrasting them with software engineering benchmarks. It highlights the unique challenges of data…