Data Caching | BestHub

Alibaba Cloud Infrastructure

Mar 5, 2025 · Cloud Native

Using Fluid Cloud‑Native Data Caching to Boost Performance and Elasticity of a Quantitative Research Platform on Alibaba Cloud

This article describes how JoinQuant built a cloud‑native quantitative research platform on Alibaba Cloud, identified performance, cost, data‑management, and security challenges, and solved them with Fluid’s JindoRuntime data‑caching, elastic scaling, and Python‑driven workflows, achieving dramatic speed and cost improvements.

Data CachingFluidKubernetes

0 likes · 18 min read

Using Fluid Cloud‑Native Data Caching to Boost Performance and Elasticity of a Quantitative Research Platform on Alibaba Cloud

Alibaba Cloud Infrastructure

Aug 1, 2024 · Cloud Native

Best Practices for Data Acceleration, Stability, and Consistency with Alibaba Cloud ACK Fluid

This guide details how to use Alibaba Cloud ACK Fluid to accelerate data access, improve system stability, and ensure cache consistency across AI, big‑data, and analytics workloads by selecting appropriate ECS instances, cache media, scheduling affinity, and runtime configurations.

ACK FluidBig DataData Caching

0 likes · 21 min read

Best Practices for Data Acceleration, Stability, and Consistency with Alibaba Cloud ACK Fluid

php中文网 Courses

Jul 16, 2024 · Backend Development

Implementing a Data Cache Class in PHP for Efficient Web Applications

This article explains how to improve PHP application performance by implementing a data caching class, illustrates a weather‑API example, shows how to set cache duration, avoid duplicate data storage, and discusses production considerations such as concurrency, large data, security, and expiration handling.

Cache ManagementData CachingPHP

0 likes · 8 min read

Implementing a Data Cache Class in PHP for Efficient Web Applications

DataFunSummit

May 24, 2024 · Big Data

Ctrip's Experience with Alluxio in Its Big Data Platform: Architecture, Transparent Access, Custom Authentication, CallerContext, and Dynamic Configuration

This article details how Ctrip, a leading travel company, leverages Alluxio as a distributed cache within its extensive big‑data infrastructure to improve data access speed, implement transparent storage access, support custom authentication and multi‑tenant features, enhance audit logging with CallerContext, and dynamically distribute client configurations via Kyuubi.

AlluxioBig DataCallerContext

0 likes · 14 min read

Ctrip's Experience with Alluxio in Its Big Data Platform: Architecture, Transparent Access, Custom Authentication, CallerContext, and Dynamic Configuration

DataFunTalk

Aug 8, 2022 · Artificial Intelligence

Accelerating Cloud Deep Learning Training with Alluxio: Overview, Usage Levels, and POSIX API Development

This article explains how Alluxio, an open‑source data abstraction layer, can accelerate cloud‑based deep‑learning training by providing POSIX‑compatible caching, simplifying data source integration, and offering three usage levels—from basic read‑through caching to full data‑as‑a‑service abstraction—backed by real‑world case studies and performance results.

AIAlluxioBig Data

0 likes · 10 min read

Accelerating Cloud Deep Learning Training with Alluxio: Overview, Usage Levels, and POSIX API Development

Zhengtong Technical Team

Jun 2, 2022 · Frontend Development

Improving WebGL Engine Performance with IndexedDB: Data Retrieval and Update Strategies

This article explains how the Crystal WebGL engine leverages IndexedDB to reduce network requests, accelerate three‑dimensional data loading, and implement efficient caching and update mechanisms, thereby significantly improving overall rendering performance and user experience.

Data CachingIndexedDBWebGL

0 likes · 7 min read

Improving WebGL Engine Performance with IndexedDB: Data Retrieval and Update Strategies

Architecture Digest

Mar 27, 2018 · Backend Development

Data Architecture Design in Microservice Development

This article explains the multi‑layer data architecture design for microservice systems, covering concepts such as data usability, primary and secondary data decoupling, sharding, multi‑source data adaptation and caching, and introduces data marts to improve scalability and maintainability.

Data Cachingbackend designdata mart

0 likes · 10 min read

Data Architecture Design in Microservice Development