大数据分析

Keeping tabs on embedded analytics

Metabase offers a few different types of embedding: interactive, static, and public embedding. With usage analytics, you can track how your customers interact with your customer-facing analytics. The level of detail available in usage analytics depends on the embedding type. For example, interactive embedding gives you an additional capability to…

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Comparing the most popular open-source charting libraries

Here’s a breakdown of some of the most popular charting libraries to help you figure out which library could be best for your embedding project, as well as a discussion about when you should consider a more batteries-included solution. Chart.js Chart.js is an open-source JavaScript visualization library that started in…

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Building a next-gen SOC at Pinewood, a leading MSSP, underpinned by Elastic SIEM

Building a next-gen SOC at Pinewood, a leading MSSP, underpinned by Elastic SIEM By Sebastiaan Kors 06 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print Cybersecurity is a critical and challenging domain that requires constant vigilance, innovation, and adaptation. As cyber threats evolve…

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Elastic Observability 8.14: New feature for SLO, AI Assistant, and .NET for Universal Profiling

Elastic Observability 8.14: New feature for SLO, AI Assistant, and .NET for Universal Profiling By Tom Grabowski,Christos Kalkanis 05 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print Elastic Observability 8.14 announces the general availability (GA) of key Service Level Objective (SLO) management capabilities,…

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NEW in Elastic 8.14: Attack Discovery, GA of ES|QL, and AI Assistant features

NEW in Elastic 8.14: Attack Discovery, GA of ES|QL, and AI Assistant features By Dhrumil Patel,Paul Ewing,Alyssa VanNice 05 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print Elastic 8.14 is now available! This release supports our mission to modernize security operations with AI-driven…

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Elastic Search 8.14: Faster and more cost-effective vector search, improved relevance with retrievers and reranking, RAG and developer tooling

Elastic Search 8.14: Faster and more cost-effective vector search, improved relevance with retrievers and reranking, RAG and developer tooling By Yaru Lin,Ranjana Devaji 05 June 2024 Share on Twitter Share on LinkedIn Share on Facebook Share by email Print We're committed to pushing the boundaries of search development and focusing…

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