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2024年ランキング
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There were many interesting technical sessions at the 2014 Vertica Big Data Conference. However, I feel that the most captivating session was on loading 35TB per hour. Just the sheer number of nodes in the clusters, amount of data ingested, and use cases made for a truly educational session. This session covered how Vertica was able to meet Facebook’s ingest SLA (Service Level Agreement) of 35TB/h
Gain actionable foresight from billions of observations and avoid downsampling Use out-of-the-box, standard R parallel algorithms with near-linear scalability Turbo charge data access performance by 5x and ingest and prepare data in seconds Enable a broader community of developers and DBAs to put predictive analytics into action with support for all BI and data visualization tools Access this new,
Featured Use Case: Customer Behavior Analytics Customer centricity is a mission critical initiative across industries. Unify customer data, deliver personalized, omni-channel experiences, and grow and retain your customer base. Learn More
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