Big Data Technology & Architecture
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Big Data Technology & Architecture

Wang Zhiwu, a big data expert, dedicated to sharing big data technology.

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Big Data Technology & Architecture
Big Data Technology & Architecture
May 21, 2025 · Big Data

Interview Experience: Flink Task Resource Allocation, Issues, and Monitoring

This article shares an interviewee's experience discussing core Flink interview questions, including typical resource allocation for large online tasks, common problems such as data, performance, stability, and resource issues, and the monitoring practices for clusters and tasks, while also containing a brief self‑promotion.

FlinkMonitoringPerformance Issues
0 likes · 7 min read
Interview Experience: Flink Task Resource Allocation, Issues, and Monitoring
Big Data Technology & Architecture
Big Data Technology & Architecture
May 16, 2025 · Big Data

Apache Gravitino: An Open‑Source Metadata Lake for Unified Data and AI Asset Management

Apache Gravitino is an open‑source metadata service platform that provides a unified, high‑performance, geographically distributed metadata lake, enabling end‑to‑end data governance, multi‑engine access, and direct management of both structured and unstructured data assets across diverse systems.

Apache GravitinoOpen Sourcedata governance
0 likes · 9 min read
Apache Gravitino: An Open‑Source Metadata Lake for Unified Data and AI Asset Management
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 29, 2025 · Big Data

Big Data Interview Preparation: Data Governance, Iceberg Metadata, Lakehouse Best Practices, and Xiaohongshu HR Updates

The article reports Xiaohongshu’s cancellation of the big‑small week schedule and non‑compete clause, then provides a collection of big‑data interview questions—including data governance, Iceberg metadata management, and lakehouse production best practices—along with concise answers and resources for candidates.

IcebergXiaohongshudata governance
0 likes · 7 min read
Big Data Interview Preparation: Data Governance, Iceberg Metadata, Lakehouse Best Practices, and Xiaohongshu HR Updates
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 25, 2025 · Artificial Intelligence

Introducing Spring AI: A Java Framework for Building Generative AI Applications

This article introduces Spring AI, a Java‑based AI framework inspired by LangChain, explains its core capabilities such as model management, inference, extension and Spring ecosystem integration, and provides step‑by‑step installation, configuration, sample code, and guidance for creating MCP services.

AI FrameworkGenerative AIJava
0 likes · 6 min read
Introducing Spring AI: A Java Framework for Building Generative AI Applications
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 24, 2025 · Big Data

Key Big Data Interview Questions and Practical Answers

This article presents a selection of challenging interview questions frequently asked of big‑data candidates—covering long‑tail task identification, the role of Apache Paimon, handling underperforming cluster nodes, data scale limits, and large‑model fundamentals—along with concise explanations and resources for further study.

AIPaimon
0 likes · 7 min read
Key Big Data Interview Questions and Practical Answers
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 22, 2025 · Artificial Intelligence

Introduction to Retrieval‑Augmented Generation (RAG) and Vector Indexing with StarRocks and DeepSeek

This article explains the fundamentals of Retrieval‑Augmented Generation, demonstrates how to create and query vector indexes using StarRocks, shows how DeepSeek provides embeddings and answer generation, and walks through a complete end‑to‑end RAG pipeline with code examples and a web UI.

AIDeepSeekEmbedding
0 likes · 20 min read
Introduction to Retrieval‑Augmented Generation (RAG) and Vector Indexing with StarRocks and DeepSeek
Big Data Technology & Architecture
Big Data Technology & Architecture
Apr 17, 2025 · Big Data

MaxCompute: Intelligent Data Warehouse Platform for the Data+AI Era

This article, based on a meetup presentation, details Alibaba Cloud's MaxCompute platform—its evolution, serverless architecture, AI integration, distributed Python framework, Object Table, near‑real‑time processing, and intelligent warehouse features—addressing the challenges of data warehouses in the Data+AI era.

Data WarehouseDistributed ComputingMaxCompute
0 likes · 11 min read
MaxCompute: Intelligent Data Warehouse Platform for the Data+AI Era