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Didi Tech
Didi Tech
Mar 20, 2025 · Big Data

Key Questions and Value Assessment in Data Warehouse Modeling and Development

The article explores nine fundamental questions about data‑warehouse modeling—why and when to model, how to evaluate and compare models, the warehouse’s unique role versus business systems, modern architectural shifts, a quantitative value‑proof scoring framework, industry‑standard versus custom approaches, demonstrating business impact, and career insights—concluding that true value lies in enabling informed decisions rather than technology hype.

AIbig datacareer development
0 likes · 12 min read
Key Questions and Value Assessment in Data Warehouse Modeling and Development
Data Thinking Notes
Data Thinking Notes
Sep 26, 2024 · Big Data

How Data Platforms Are Shifting from Cost Efficiency to Value in the AI Era

The talk reviews the evolution of data technologies from early database storage to today’s generative AI-driven era, highlighting how massive data, multimodal processing, and advanced analytics are transforming data systems from cost‑centered infrastructures to value‑focused ecosystems that empower intelligent agents, open data ecosystems, and new application paradigms.

Multimodalartificial intelligencebig data
0 likes · 19 min read
How Data Platforms Are Shifting from Cost Efficiency to Value in the AI Era
AntData
AntData
Sep 9, 2024 · Big Data

From Cost‑Efficiency to Value‑Centric: The Evolution of Data Systems in the Data+AI Era

The article reviews the rapid advances in generative AI and big‑data technologies, traces the historical development of data infrastructure, and argues that modern data systems are shifting from a cost‑efficiency focus to a value‑centric paradigm driven by multimodal, non‑structured data, vector search and machine‑oriented services.

DataMultimodalartificial intelligence
0 likes · 18 min read
From Cost‑Efficiency to Value‑Centric: The Evolution of Data Systems in the Data+AI Era
DataFunTalk
DataFunTalk
Jan 22, 2024 · Big Data

Design and Implementation of Bilibili's Big Data Development Governance Platform

This article details Bilibili's five‑year development of a comprehensive big‑data governance platform, covering its usage scenarios, product positioning, data map and governance solutions, abstract configuration approach, operational mechanisms, and future plans, highlighting significant improvements in data efficiency and value assessment.

Bilibilibig data platformdata governance
0 likes · 10 min read
Design and Implementation of Bilibili's Big Data Development Governance Platform
DataFunSummit
DataFunSummit
Oct 26, 2021 · Big Data

Data Value System and Cockpit Construction: A Case Study from CITIC Bank

This article presents a comprehensive overview of CITIC Bank's data value system and cockpit construction, detailing business objectives, overall planning, digital management framework, methodology, implementation cases, and current usage, illustrating how data-driven analytics support the bank's digital transformation.

Banking AnalyticsData Cockpitbig data
0 likes · 17 min read
Data Value System and Cockpit Construction: A Case Study from CITIC Bank
JD Retail Technology
JD Retail Technology
Jun 29, 2021 · Big Data

The Value of Data and Data Products: From Concept to Practice

This article explains how data has become a critical production resource, outlines the limitations of traditional data‑analysis workflows, defines data products and their components, describes their advantages and key characteristics, and shares practical case studies of data‑product implementations in a large e‑commerce environment.

big datadata analysisdata product
0 likes · 16 min read
The Value of Data and Data Products: From Concept to Practice
Efficient Ops
Efficient Ops
Apr 14, 2016 · Big Data

Why Big Data May Not Be the Gold Mine You Expect: Insights and Pitfalls

The article examines what big data really means, its core 4 V characteristics, current limitations in China, the overhyped value of data, the importance of business‑driven applications, and why starting from small, relevant data is essential for true predictive power.

big databusiness intelligencedata analysis
0 likes · 13 min read
Why Big Data May Not Be the Gold Mine You Expect: Insights and Pitfalls