Tagged articles

Semi-structured Data

9 articles · Page 1 of 1

Sep 3, 2026 · Databases

Querying Paimon Semi-Structured Data with StarRocks: Variant, Shredding & SQL Practices

This article explains how StarRocks queries Paimon Variant data, covering the differences between regular Parquet JSON and Variant, the three-phase read architecture, Shredding optimization for hot paths, practical SQL examples using get_variant_* functions, and a decision framework for choosing between JSON, Plain Variant, Shredded Variant, and formal typed columns.

LakehousePaimonParquet

0 likes · 21 min read

Querying Paimon Semi-Structured Data with StarRocks: Variant, Shredding & SQL Practices

LuTiao Programming

Apr 26, 2026 · Industry Insights

Is JSON Quietly Fading? How AI Is Redefining Data Interaction

The article examines how JSON, once the universal data language for backend systems, is being pushed back from the interaction layer in AI‑driven applications, outlines its five key shortcomings, and explores emerging alternatives such as natural‑language interfaces, Markdown, YAML, and function calling.

AIData InterchangeFunction Calling

0 likes · 9 min read

Is JSON Quietly Fading? How AI Is Redefining Data Interaction

Data Integration and Governance

Dec 29, 2025 · Fundamentals

Master Structured, Semi‑Structured, and Unstructured Data: A Beginner’s Guide to Data Governance

The article explains the three core data categories—structured, semi‑structured, and unstructured—illustrates their characteristics with real manufacturing examples, compares suitable storage and processing tools, and outlines three practical principles for effective data integration and governance.

Data IntegrationETLSemi-structured Data

0 likes · 9 min read

Master Structured, Semi‑Structured, and Unstructured Data: A Beginner’s Guide to Data Governance

Data Integration and Governance

Dec 8, 2025 · Fundamentals

Structured, Semi‑Structured, and Unstructured Data: Choosing the Right Storage for IoT Sensor Streams

The article explains the definitions and practical differences of structured, semi‑structured, and unstructured data, compares suitable storage and processing technologies, discusses governance challenges, and offers a step‑by‑step strategy—including a data‑integration tool example—to help IoT projects select the optimal data architecture.

Data StorageIoTSemi-structured Data

0 likes · 10 min read

Structured, Semi‑Structured, and Unstructured Data: Choosing the Right Storage for IoT Sensor Streams

Big Data Technology & Architecture

Oct 21, 2024 · Big Data

Key New Features of Apache Doris 3.0: Storage‑Compute Separation, Lakehouse Integration, Semi‑Structured Data, ETL Enhancements, Materialized Views, and Java UDTF

Apache Doris 3.0 introduces storage‑compute separation, native lakehouse write‑back, optimized Variant handling for semi‑structured data, stronger ETL transaction support, enhanced multi‑table materialized views, and Java UDTF capabilities, providing developers with more flexible, cost‑effective, and high‑performance analytics solutions.

Apache DorisETLJava UDTF

0 likes · 7 min read

Key New Features of Apache Doris 3.0: Storage‑Compute Separation, Lakehouse Integration, Semi‑Structured Data, ETL Enhancements, Materialized Views, and Java UDTF

Rare Earth Juejin Tech Community

Jan 31, 2024 · Artificial Intelligence

Advanced RAG with Semi‑Structured Data Using LangChain, Unstructured, and ChromaDB

This tutorial demonstrates how to build an advanced Retrieval‑Augmented Generation (RAG) system for semi‑structured PDF data by leveraging LangChain, the unstructured library, ChromaDB vector store, and OpenAI models, covering installation, PDF partitioning, element classification, summarization, and query execution.

AIChromaDBLangChain

0 likes · 11 min read

Advanced RAG with Semi‑Structured Data Using LangChain, Unstructured, and ChromaDB

DataFunTalk

Jan 1, 2024 · Big Data

MaxCompute Semi-Structured Data: Concepts, Solutions, and Benefits

This article explains the nature of semi‑structured data, compares traditional schema‑on‑read and schema‑on‑write approaches, and details MaxCompute's columnar storage solution that balances flexibility, performance, and cost for large‑scale data warehouses.

MaxComputeSemi-structured Databig data

0 likes · 19 min read

MaxCompute Semi-Structured Data: Concepts, Solutions, and Benefits

Alibaba Cloud Big Data AI Platform

Sep 14, 2023 · Big Data

How MaxCompute Turns Semi‑Structured Data into High‑Performance Columnar Storage

This article explains the nature of semi‑structured data, compares schema‑on‑read and schema‑on‑write approaches, and shows how Alibaba Cloud MaxCompute leverages columnar storage and dynamic parsing to achieve low‑cost, high‑performance analytics for large‑scale data workloads.

MaxComputeSemi-structured Datacolumnar storage

0 likes · 20 min read

How MaxCompute Turns Semi‑Structured Data into High‑Performance Columnar Storage

DataFunSummit

Sep 7, 2023 · Big Data

MaxCompute Semi-Structured Data Solutions: Architecture, Comparison, and Performance Benefits

This article explains the concepts of semi‑structured data, compares traditional schema‑on‑read and schema‑on‑write approaches, and details MaxCompute's columnar storage solution—including AliORC, adaptive query processing, and handling of dirty or sparse data—to achieve high performance and low cost in big‑data warehousing.

MaxComputeSemi-structured Data

0 likes · 20 min read