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DataFunSummit
DataFunSummit
Oct 28, 2025 · Fundamentals

Why Unstructured Data Management Is the Next Frontier for Enterprises

This article explores the evolution, current state, and challenges of enterprise unstructured data management, reviews case studies from traditional firms, Huawei and Ant Group, proposes an ECM‑based reference framework, compares it with structured data governance, and outlines future integration strategies with AI and unified data platforms.

AIBig DataData Governance
0 likes · 28 min read
Why Unstructured Data Management Is the Next Frontier for Enterprises
ByteDance Data Platform
ByteDance Data Platform
Jun 18, 2025 · Artificial Intelligence

How Imperfect AI Can Unlock the Hidden 80% of Enterprise Data

Enterprises face a sharp paradox: despite exploding data volumes, only about 20% of structured data is used while the remaining 80% of unstructured data stays frozen, and this talk explores how Data Agent‑powered imperfect AI can awaken that hidden value.

AIData AgentEnterprise AI
0 likes · 16 min read
How Imperfect AI Can Unlock the Hidden 80% of Enterprise Data
21CTO
21CTO
Aug 5, 2022 · Databases

Why Milvus 2.1 Is Revolutionizing Vector Databases for Unstructured Data

Milvus 2.1, the newly released open‑source vector database, brings trillion‑byte storage, sub‑5 ms search latency, and seamless scalability for both structured and unstructured data, positioning it as a game‑changing infrastructure for similarity search across industries.

Milvusunstructured datavector database
0 likes · 4 min read
Why Milvus 2.1 Is Revolutionizing Vector Databases for Unstructured Data
Huawei Cloud Developer Alliance
Huawei Cloud Developer Alliance
Jul 25, 2022 · Big Data

How Top Teams Accelerated Marine Data Compression in the Ship‑Sea Innovation Contest

The inaugural Ship‑Sea Data Intelligent Application Innovation Competition, co‑hosted by Taihu Lab, Huawei and local authorities, challenged participants to compress massive unstructured marine data, and the winning teams revealed novel preprocessing and encoding‑compression pipelines that dramatically improve storage efficiency while preserving data integrity.

AIdata compressionmarine technology
0 likes · 7 min read
How Top Teams Accelerated Marine Data Compression in the Ship‑Sea Innovation Contest
DataFunSummit
DataFunSummit
Mar 29, 2022 · Databases

AI-Driven Unstructured Data Analysis and Retrieval with Milvus and Towhee

This article explains how the Milvus vector database and the Towhee embedding framework together enable large‑scale, high‑throughput semantic analysis and retrieval of unstructured data such as images, video, and audio by leveraging AI‑powered vectorization and search pipelines.

AIMilvusTowhee
0 likes · 13 min read
AI-Driven Unstructured Data Analysis and Retrieval with Milvus and Towhee
21CTO
21CTO
Oct 18, 2021 · Big Data

Why Unstructured Big Data Storage Must Be Central to Your IT Strategy

The article explains how unstructured big data, often overlooked, should become a strategic focus, highlighting its massive unused value, the challenges of cataloging and moving petabyte‑scale datasets, and why agile cloud‑based storage is essential for modern enterprises.

Data Managementcloud storagestorage strategy
0 likes · 7 min read
Why Unstructured Big Data Storage Must Be Central to Your IT Strategy
DataFunTalk
DataFunTalk
Aug 2, 2021 · Databases

From Text Search to Vector Search: Generalizing Unstructured Data Retrieval

The article explains why traditional text‑based search engines like ElasticSearch struggle with modern multimodal data, introduces vector databases that store implicit semantic embeddings, and proposes a generalized search architecture that decouples data‑to‑vector mapping from the engine while leveraging clustering or graph indexes for similarity search.

AIEmbeddinginformation retrieval
0 likes · 12 min read
From Text Search to Vector Search: Generalizing Unstructured Data Retrieval
dbaplus Community
dbaplus Community
Nov 19, 2020 · Big Data

How Banks Can Tame Petabytes of Unstructured Data: Architecture and Best Practices

This article presents a comprehensive design and deployment plan for a bank's unstructured data service platform, covering data growth challenges, lifecycle management, three‑tier storage architecture, Elasticsearch indexing, fault‑tolerant disaster recovery, monitoring, and future development directions.

Elasticsearchdisaster recoverystorage architecture
0 likes · 19 min read
How Banks Can Tame Petabytes of Unstructured Data: Architecture and Best Practices
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 9, 2019 · Big Data

Unlocking the Power of Unstructured Data: From AI Breakthroughs to Business Value

This article explains how unstructured data—comprising documents, images, audio, video and more—now dominates over 80% of all data, outlines its characteristics and challenges, compares it with structured data, and showcases real-world AI applications such as ImageNet, intelligent customer service and smart security, while proposing a roadmap for building a unified unstructured‑data asset.

Big DataData Analyticsmachine learning
0 likes · 15 min read
Unlocking the Power of Unstructured Data: From AI Breakthroughs to Business Value
ITPUB
ITPUB
Nov 18, 2015 · Databases

How KingbaseES Handles Unstructured Data with Full‑Text Search and Large Objects

The article explains the rapid growth of unstructured data, outlines typical sources and management challenges, and details how KingbaseES’s full‑text indexing, extensible ranking, and large‑object support (BLOB/CLOB up to 2 GB) enable efficient storage, retrieval, and processing of such data.

Data ManagementFull‑Text SearchKingbaseES
0 likes · 6 min read
How KingbaseES Handles Unstructured Data with Full‑Text Search and Large Objects