Experimental News Clipping Site

Tag: data transformation

  • AWS News Blog: Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas

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    Source URL: https://aws.amazon.com/blogs/aws/use-amazon-q-developer-to-build-ml-models-in-amazon-sagemaker-canvas/ Source: AWS News Blog Title: Use Amazon Q Developer to build ML models in Amazon SageMaker Canvas Feedly Summary: Q Developer empowers non-ML experts to build ML models using natural language, enabling organizations to innovate faster with reduced time to market. AI Summary and Description: Yes **Summary:** Amazon Q Developer, newly available…

  • Hacker News: We need data engineering benchmarks for LLMs

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    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…

  • Hacker News: Building Observability with ClickHouse

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    Source URL: https://cmtops.dev/posts/building-observability-with-clickhouse/ Source: Hacker News Title: Building Observability with ClickHouse Feedly Summary: Comments AI Summary and Description: Yes Summary: The text outlines the author’s journey in building an observability project using ClickHouse for data warehousing alongside Grafana for visualization and alerting. It highlights the limitations of various tech stacks considered, particularly focusing on Elasticsearch…

  • Cloud Blog: How Deutsche Bank built a new retail data platform on Google Cloud

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    Source URL: https://cloud.google.com/blog/products/data-analytics/inside-deutsche-banks-pbdp-retail-data-platform/ Source: Cloud Blog Title: How Deutsche Bank built a new retail data platform on Google Cloud Feedly Summary: Getting insights into customer’s preferences and needs is crucial for any modern business — and that’s especially true for a retail bank. Insights from customer data help deliver improved customer experiences through custom tailored…

  • Cloud Blog: BigQuery’s AI-assisted data preparation is now in preview

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    Source URL: https://cloud.google.com/blog/products/data-analytics/introducing-ai-driven-bigquery-data-preparation/ Source: Cloud Blog Title: BigQuery’s AI-assisted data preparation is now in preview Feedly Summary: In today’s data-driven world, the ability to efficiently transform raw data into actionable insights is paramount. However, data preparation and cleaning is often a significant challenge. Reducing this time and efficiently transforming raw data into insights is crucial…

  • Cloud Blog: Accelerate AI production with data agents and BigQuery platform enhancements

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    Source URL: https://cloud.google.com/blog/products/data-analytics/connect-your-data-to-ai-with-new-innovations/ Source: Cloud Blog Title: Accelerate AI production with data agents and BigQuery platform enhancements Feedly Summary: As the fuel for AI, data’s role in driving innovation is uncontested. However, since so much data is unstructured and unmanaged today, data accessibility can stand in the way of AI adoption. Our goal is to…

  • Cloud Blog: Write better log queries, faster: Introducing pipe syntax in BigQuery and Cloud Logging

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    Source URL: https://cloud.google.com/blog/products/data-analytics/introducing-pipe-syntax-in-bigquery-and-cloud-logging/ Source: Cloud Blog Title: Write better log queries, faster: Introducing pipe syntax in BigQuery and Cloud Logging Feedly Summary: Log data has become an invaluable resource for organizations seeking to understand application behavior, optimize performance, strengthen security, and enhance user experiences. But the sheer volume and complexity of logs generated by modern…