Tag: Serverless Spark
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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…
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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…
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Cloud Blog: What’s new with Google Data Cloud
Source URL: https://cloud.google.com/blog/products/data-analytics/whats-new-with-google-data-cloud/ Source: Cloud Blog Title: What’s new with Google Data Cloud Feedly Summary: June 9 – June 13 Introducing Pub/Sub Single Message Transforms (SMTs), to make it easy to perform simple data transformations such as validate, filter, enrich, and alter individual messages as they move in real time right within Pub/Sub. The first…