BestHub
Sign in
Alibaba Cloud Big Data AI Platform
Author

Alibaba Cloud Big Data AI Platform

The Alibaba Cloud Big Data AI Platform builds on Alibaba’s leading cloud infrastructure, big‑data and AI engineering capabilities, scenario algorithms, and extensive industry experience to offer enterprises and developers a one‑stop, cloud‑native big‑data and AI capability suite. It boosts AI development efficiency, enables large‑scale AI deployment across industries, and drives business value.

482
Articles
0
Likes
2.2k
Views
0
Comments
Recent Articles

Latest from Alibaba Cloud Big Data AI Platform

100 recent articles max
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jan 23, 2026 · Backend Development

Why Elasticsearch’s 10,000 Hit Limit Slows Your Cluster and How to Fix It

Elasticsearch defaults to a total hit count of 10,000 after version 7.x, which many developers override with "track_total_hits": true to get exact numbers, but this seemingly harmless change can double CPU usage and increase query latency from 20 ms to 500 ms due to the underlying Block‑Max WAND algorithm and its interaction with aggregations, sorting, and scoring.

Block-Max WANDElasticSearchSearch Optimization
0 likes · 11 min read
Why Elasticsearch’s 10,000 Hit Limit Slows Your Cluster and How to Fix It
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jan 19, 2026 · Databases

How Hologres Dynamic Table Accelerates Billion‑Row Data Refreshes

The article explains how Hologres Dynamic Table, a cloud‑native materialized‑view‑like feature, supports full and incremental refresh modes, enables minute‑level data freshness for billion‑row price tables, and provides join, aggregation, and partition capabilities while outlining its architecture, limitations, and real‑world performance gains.

Dynamic TableHologresIncremental Refresh
0 likes · 8 min read
How Hologres Dynamic Table Accelerates Billion‑Row Data Refreshes
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Jan 8, 2026 · Big Data

How Gaode Maps Built a Real‑Time Lakehouse for Billion‑Scale Trajectory Data

This article details Gaode Maps' end‑to‑end lakehouse solution for massive, high‑frequency trajectory data, covering the challenges of real‑time visibility, query performance, and storage cost, and explaining how a hot‑warm‑cold tiering architecture built on Apache Flink, Paimon, StarRocks, Redis and Lindorm delivers millisecond‑level queries while cutting storage expenses.

Apache FlinkApache PaimonData Tiering
0 likes · 19 min read
How Gaode Maps Built a Real‑Time Lakehouse for Billion‑Scale Trajectory Data
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Dec 30, 2025 · Big Data

How StarRocks and Apache Paimon Unite to Build a True Lakehouse Native Engine

StarRocks and Apache Paimon have been progressively integrated across multiple releases, enabling a unified lakehouse architecture that supports multi-source federated analysis, time-travel queries, native readers/writers, distributed planning, and advanced profiling, while delivering performance gains that bring Paimon query speed on par with native StarRocks tables.

Apache PaimonReal-time AnalyticsStarRocks
0 likes · 9 min read
How StarRocks and Apache Paimon Unite to Build a True Lakehouse Native Engine
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Dec 29, 2025 · Cloud Native

How a Visual Platform Cut Search Costs by 60% with All‑in‑Elasticsearch

This case study details how a major internet visual platform consolidated its log, keyword, and vector search workloads onto Alibaba Cloud Elasticsearch, eliminating three separate pipelines, reducing write‑costs by 60%, cutting storage expenses over 60%, and achieving multi‑fold performance gains through serverless scaling, FalconSeek engine optimizations, and unified monitoring.

ElasticSearchRAGSearch Architecture
0 likes · 10 min read
How a Visual Platform Cut Search Costs by 60% with All‑in‑Elasticsearch
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Dec 24, 2025 · Big Data

How Paimon’s Column‑Separation Architecture Powers Real‑Time Multi‑Modal Lakehouse for AI

This article explains the challenges of frequent column changes in AI feature engineering, introduces Paimon’s column‑separation storage with a global continuous Row ID, details its Blob data type for efficient multi‑modal handling, and outlines production results and future roadmap for building an AI‑native data lakehouse.

Apache PaimonBLOBBig Data
0 likes · 11 min read
How Paimon’s Column‑Separation Architecture Powers Real‑Time Multi‑Modal Lakehouse for AI
Alibaba Cloud Big Data AI Platform
Alibaba Cloud Big Data AI Platform
Dec 23, 2025 · Artificial Intelligence

How Skrull Boosts Long-Context Fine‑Tuning Speed Up to 7.5×

The Skrull system, accepted at NeurIPS 2025, dynamically schedules long and short sequences during each training iteration, overlapping communication and computation to achieve up to 7.54× speedup for long‑context fine‑tuning of large language models while maintaining stability through load‑balancing and rollback mechanisms.

Dynamic Data SchedulingLong Context Fine-TuningModel Training Optimization
0 likes · 8 min read
How Skrull Boosts Long-Context Fine‑Tuning Speed Up to 7.5×