Tag: Dataproc
-
Cloud Blog: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library
Source URL: https://cloud.google.com/blog/products/data-analytics/gemini-and-vertex-ai-for-spark-with-dataproc-ml-library/ Source: Cloud Blog Title: Connect Spark data pipelines to Gemini and other AI models with Dataproc ML library Feedly Summary: Many data science teams rely on Apache Spark running on Dataproc managed clusters for powerful, large-scale data preparation. As these teams look to connect their data pipelines directly to machine learning models,…
-
Cloud Blog: Accelerate data science with new Dataproc multi-tenant clusters
Source URL: https://cloud.google.com/blog/products/data-analytics/announcing-dataproc-multi-tenant-clusters/ Source: Cloud Blog Title: Accelerate data science with new Dataproc multi-tenant clusters Feedly Summary: With the rapid growth of AI/ML, data science teams need a better notebook experience to meet the growing demand for and importance of their work to drive innovation. Additionally, scaling data science workloads also creates new challenges for…
-
Cloud Blog: Investigate fast with AI: Gemini Cloud Assist for Dataproc & Serverless for Apache Spark
Source URL: https://cloud.google.com/blog/products/data-analytics/troubleshoot-apache-spark-on-dataproc-with-gemini-cloud-assist-ai/ Source: Cloud Blog Title: Investigate fast with AI: Gemini Cloud Assist for Dataproc & Serverless for Apache Spark Feedly Summary: Apache Spark is a fundamental part of most modern lakehouse architectures, and Google Cloud’s Dataproc provides a powerful, fully managed platform for running Spark applications. However, for data engineers and scientists, debugging…
-
Cloud Blog: The Dataproc advantage: Advanced Spark features that will transform your analytics and AI
Source URL: https://cloud.google.com/blog/products/data-analytics/why-use-dataproc-for-your-apache-spark-environment/ Source: Cloud Blog Title: The Dataproc advantage: Advanced Spark features that will transform your analytics and AI Feedly Summary: With its exceptional price-performance, Google Cloud’s Dataproc has evolved from a simple, managed open-source software (OSS) service to a powerhouse in Apache Spark and open lakehouses, driving the analytics and AI workloads of…
-
Cloud Blog: AI/ML-ready Apache Spark with Dataproc
Source URL: https://cloud.google.com/blog/products/data-analytics/dataproc-features-enable-aiml-ready-apache-spark/ Source: Cloud Blog Title: AI/ML-ready Apache Spark with Dataproc Feedly Summary: Apache Spark is the cornerstone for large-scale data processing, model training, and inference for AI/ML workloads. Yet, the complexities of environment configuration, dependency management, and MLOps integration can slow you down. To accelerate your AI/ML journey, Dataproc now delivers powerful, ML-ready…