Nov 19, 2025 · 8 min read · Tags:cloud-data-processing, large-scale-data, spark, ray, cloud-architecture, data-engineering, python-dataprocessing, devops-cloud, kubernetes, distributed-systems Table of Contents Introduction Sharing 2.1 Environment Sharing Across Machines 2...
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Jun 7, 2025 · 2 min read · Running Ray Jobs on Your Private OpenShift AI from GCP So, you're living the hybrid cloud dream. Your data processing pipelines are humming along nicely on Google Cloud, but for security, compliance or cost reasons, you may want to run the heavy-duty...
Join discussionMay 13, 2025 · 2 min read · Raydium (RAY) is making waves again after bouncing back from its long downtrend. Once a hot altcoin during Solana’s dominance days, Raydium seems to be regaining momentum, and traders are paying attention. Currently, Raydium is trading at $3.22, down...
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Aug 28, 2024 · 4 min read · Amazon Business Data Technologies (BDT) Team moved EXABYTE scale jobs from Spark to this tech. 🤔 Cost saving of $120MM/year on EC2 on-demand R5 instance charges 🔥 Background It started with migration from Oracle To decouple storage and compute, th...
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Mar 13, 2024 · 6 min read · For medium and large businesses, extracting meaningful insights from large volumes of unstructured data, such as text documents, is crucial. However, the traditional approach of sequentially processing documents for embedding generation can take time...
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Aug 25, 2022 · 5 min read · Whether it is asking, “Why do 87% of data science projects never make it into production?” or trying to make sense of a “hot mess” called MLOps, debates around machine learning in production have never really subsided. Machine Learning research is bo...
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