This guide compares the strengths and weaknesses of common data analysis tools—from basic spreadsheet software and multi‑dimensional tables to professional statistical packages, BI platforms, and programming languages like R and Python—helping readers select the most suitable solution for their needs.
This article details JD Logistics' journey from fragmented, massive‑scale data to a unified, real‑time analytics platform, covering business needs, pain points, tool evaluation, a new Doris‑based architecture, table management, data import procedures, automation scripts, and future roadmap for data engineering.
This article compares four popular data‑visualization platforms—Alibaba Cloud DataV, JimuReport, Baidu Sugar, and FanRuan—highlighting their features, registration processes, strengths, and drawbacks, to help you choose the most suitable solution for turning exported database data into clear, decision‑making charts.
This article explains why accurate, clear, and elegant visualizations are essential, compares popular tools such as Excel and Tableau, outlines how to choose the right chart and visual encoding, discusses design principles like Gestalt laws and cognitive load, and shows a step‑by‑step case study of improving a capital‑budget chart.
The article presents Hermes, Meituan’s O2O performance management platform for travel, detailing its six‑module, four‑engine architecture—including data, incentive, rule, calculation, and scheduling engines—while highlighting technical innovations such as two‑level caching, work‑stealing producer‑consumer processing, Map‑Reduce‑style calculations, and future AI‑driven enhancements.
