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Automated Modeling

7 articles · Page 1 of 1
ITPUB
ITPUB
Jul 31, 2026 · Databases

How AI Enhances Data Warehouses: Automated Modeling, SQL Generation, Smart Scheduling, and NLQ

The article explains that AI will not replace data warehouses but will transform them by introducing automated modeling, AI‑generated SQL, intelligent resource scheduling, and natural‑language query interfaces, enabling business users to interact with data directly and turning warehouses into self‑optimizing, intelligent decision engines.

AIAutomated ModelingData Warehouse
0 likes · 8 min read
How AI Enhances Data Warehouses: Automated Modeling, SQL Generation, Smart Scheduling, and NLQ
Big Data Tech Team
Big Data Tech Team
May 25, 2026 · Big Data

AI Large Models Meet Data Warehouses: 3 Core Use Cases, 5 Common Pitfalls, and Best Practices

The article analyzes how AI large models can transform data‑warehouse development through three practical scenarios—automated modeling, intelligent data cleaning, and ops optimization—while exposing five frequent implementation traps and offering concrete best‑practice recommendations to achieve cost reduction, efficiency gains, and quality improvement.

AI large modelsAutomated ModelingData Warehouse
0 likes · 10 min read
AI Large Models Meet Data Warehouses: 3 Core Use Cases, 5 Common Pitfalls, and Best Practices
Big Data Tech Team
Big Data Tech Team
Jan 7, 2026 · Big Data

How AI Is Transforming Data Warehouses: Automation, SQL Generation, and NLQ

This article explores how artificial intelligence enhances data warehouses by automating model design, generating SQL from natural language, optimizing resource scheduling, and enabling business users to converse directly with data, while also reviewing leading tools and future cloud‑native trends.

AIAutomated ModelingData Warehouse
0 likes · 7 min read
How AI Is Transforming Data Warehouses: Automation, SQL Generation, and NLQ
DataFunSummit
DataFunSummit
Nov 25, 2024 · Big Data

Kuaishou Big Data Analytics Practices Driven by NoETL

This article presents Kuaishou's big‑data analytics system, describing its current capabilities, the pain points of traditional ETL workflows, the NoETL concept, the implementation of a metric‑center platform, and practical features such as custom fields, automated modeling and acceleration, followed by future plans and a Q&A session.

Automated ModelingBig DataCustom Fields
0 likes · 20 min read
Kuaishou Big Data Analytics Practices Driven by NoETL
58 Tech
58 Tech
Jul 2, 2019 · Artificial Intelligence

Magic Mirror: A Visual Data‑Intelligence Platform for Low‑Code Machine Learning

Magic Mirror is a big‑data‑based visual analytics platform that lowers the barrier of machine‑learning for non‑experts while accelerating expert workflows through visual UI, modular algorithms, distributed feature generation, and automated binary‑classification modeling.

Automated ModelingBig DataSpark
0 likes · 9 min read
Magic Mirror: A Visual Data‑Intelligence Platform for Low‑Code Machine Learning