Multi-dimensional Analysis Platform Based on User Portrait Data
Tencent's Glacier multi‑dimensional analysis platform combines massive user‑portrait tags with routine analytical reports, delivering fast, accurate real‑time queries across countless dimensional combinations, enabling analysts and operators to perform targeted operations and insights as product data continuously evolves.
At Tencent, as products continuously evolve, massive amounts of user and behavior data enable the extraction of a large number of user‑profile "tags". Analysts and operators use these tags to derive user feature data for targeted operations and analysis.
The data platform must provide fast and accurate query capabilities across massive dimensional combinations. This talk will share, from both architectural and application perspectives, how Tencent's Glacier multi‑dimensional analysis platform integrates massive user‑portrait data with routine analytical reports to deliver real‑time multi‑dimensional query functionality.
Signed-in readers can open the original source through BestHub's protected redirect.
This article has been distilled and summarized from source material, then republished for learning and reference. If you believe it infringes your rights, please contactand we will review it promptly.
Meitu Technology
Curating Meitu's technical expertise, valuable case studies, and innovation insights. We deliver quality technical content to foster knowledge sharing between Meitu's tech team and outstanding developers worldwide.
How this landed with the community
Was this worth your time?
0 Comments
Thoughtful readers leave field notes, pushback, and hard-won operational detail here.