已驗證:4.89 億筆紀錄 · 25.75 GB Verified: 489M records · 25.75 GB

異質資料, Heterogeneous Data,
統一治理。 Unified Governance.

「你的 IT 部門花了三個月還搬不完資料,報表每次跑出來數字都不一樣——因為沒人知道哪個系統的資料才是對的。」 "Your IT team spent three months and still can't finish the migration. Reports show different numbers every time — because no one knows which system has the right data."

將散落在 SQL Server、MariaDB、CSV 等異質來源的數億筆紀錄,統一清洗、正規化、匯聚至單一高效能分析型資料庫。 Consolidate hundreds of millions of records scattered across SQL Server, MariaDB, CSV and other heterogeneous sources into a single, high-performance analytical database — cleaned, normalized, and ready.

4.89億筆M
整合紀錄Records Integrated
4 DBs
異質資料庫Heterogeneous Sources
25.75GB
壓縮後 (DuckDB)Compressed (DuckDB)

六大 ETL 服務模組 Six Core ETL Modules

從資料匯入到關係圖譜,端到端覆蓋整個資料治理生命週期 End-to-end coverage of the entire data governance lifecycle, from ingestion to relationship mapping

異質資料庫整合 Heterogeneous DB Integration

SQL Server TDE 解密、BCP 高速通道、MariaDB 56 倍加速匯入、JSON checkpoint 斷點續傳。 SQL Server TDE decryption, BCP high-speed channel, MariaDB 56x accelerated import, JSON checkpoint for resumable transfers.

2.87 億筆 / 24 min 56x speed

資料治理與品質修復 Data Governance & Quality Repair

身分證正規化 92.5% 命中率、性別統一(15 種格式收斂)、生日清洗(2,502 萬筆)、編碼修復(2.9 億次 \x00 清除,0% 遺失)。 National ID normalization 92.5% hit rate, gender unification (15 format convergence), DOB cleansing (25.02M records), encoding repair (290M \x00 removals, 0% loss).

92.5% hit rate 0% loss

地址正規化引擎 Address Normalization Engine

五階段清洗流程——8.38 億次全形轉半形、1.8 億次縣市升格,最終縣市涵蓋率 99.5%、地址健康度 90.3%。 Five-stage cleansing — 838M full-to-half width conversions, 180M county/city upgrades. Final coverage: 99.5% county/city, 90.3% address health.

99.5% coverage 90.3% health

關係圖譜建構 Relationship Graph Construction

2,462 萬筆親屬連結建構、配偶身分證三方交叉比對。建立人物間的實質關聯網絡。 24.62M kinship link construction, spouse ID three-way cross-matching. Build substantive relationship networks between individuals.

2,462 萬筆

土地與建物登記分析 Land & Building Registry Analysis

679 萬筆土地建物統一記錄、2,370 萬筆所有權人拆表。支援產權追蹤與繼承推導。 6.79M unified land/building records, 23.7M owner decomposition. Supports ownership tracking and inheritance derivation.

679 萬筆 2,370 萬權人

電話正規化 Phone Number Normalization

1.93 億筆跨三大欄位統一處理,530 萬筆區碼自動補全。確保通訊資料可查詢、可比對。 193M records unified across three fields, 5.3M area codes auto-completed. Ensuring communication data is queryable and matchable.

1.93 億筆 530 萬區碼

技術數據牆 Technical Metrics

每一項數據皆來自實際專案驗證,非理論推估 Every metric is validated from real-world project execution, not theoretical estimates

4.89
整合資料總量Total Records
25.75GB
壓縮後 DuckDBCompressed DuckDB
2.87
SQL Server 高速匯出SQL Server Export
24 min
56x
MariaDB 匯入加速MariaDB Import Speedup
2.9
編碼污染清除Encoding Fixes
0% loss
8.38
全形轉半形Full→Half Width
99.5%
地址縣市涵蓋率Address Coverage
90.3%
地址健康度Address Health
92.5%
身分證命中率National ID Hit Rate
32GB
環境需求 RAMRAM Requirement

應用場景 Use Cases

資料治理是所有數位轉型的基礎設施 Data governance is the infrastructure behind all digital transformation

金融機構 Financial Institutions

KYC 客戶身分驗證、AML 反洗錢、客戶 360 度視圖。跨系統客戶主檔整合,滿足主管機關合規要求。 KYC identity verification, AML compliance, Customer 360 view. Cross-system customer master file integration for regulatory compliance.

不動產業 Real Estate Industry

土地所有權追蹤、繼承推導、地址正規化比對。將分散的地政資料轉化為可分析的結構化資產。 Land ownership tracking, inheritance derivation, address normalization. Transform scattered land administration data into analyzable structured assets.

法律事務所 Law Firms

資產調查、關係圖譜建構、親屬與利害關係人對應。協助法律專業人員快速掌握全貌。 Asset investigation, relationship graph construction, kinship and stakeholder mapping. Help legal professionals rapidly grasp the full picture.

政府公部門 Government Agencies

跨機關資料整合、戶政與地政資料串接、統計分析基礎建設。打通資料孤島,提升施政效能。 Cross-agency data integration, household and land registry linkage, statistical analysis infrastructure. Break down data silos to improve governance.

企業集團 Enterprise Groups

跨子公司主檔整合、統一客戶視圖、集團層級資料治理。消除重複、矛盾的客戶與交易紀錄。 Cross-subsidiary master file integration, unified customer view, group-level data governance. Eliminate duplicate and conflicting records.

ETL 技術架構 ETL Technical Architecture

從異質來源到統一分析,端到端資料流 End-to-end data flow from heterogeneous sources to unified analytics

資料來源層Data Source Layer
SQL Server
TDE Encrypted
MariaDB
56x Accelerated
CSV / Flat
Encoding Repair
Legacy DB
BCP Channel
▼ ▼ ▼
處理引擎層 (Python + pyodbc) Processing Engine (Python + pyodbc)
匯入引擎Ingestion Engine
  • BCP high-speed export
  • JSON checkpoint
  • Batch parallel load
治理引擎Governance Engine
  • ID / Gender / DOB norm
  • Address 5-stage clean
  • Phone normalization
關係引擎Relationship Engine
  • Kinship graph build
  • Spouse cross-match
  • Owner decomposition
▼ ▼ ▼
分析型資料庫Analytical Database
DuckDB
4.89 億筆紀錄 · 25.75 GB · 單機 32 GB RAM 489M records · 25.75 GB · Single node 32 GB RAM
▼ ▼ ▼
應用層 (Next.js) Application Layer (Next.js)
查詢介面Query UI
關係圖譜Graph View
統計報表Analytics
資料匯出Data Export
Python DuckDB Next.js pyodbc

您的資料,值得被認真對待 Your Data Deserves Serious Treatment

「你的資料問題不是你的錯——是這些系統從來沒被設計成要一起工作。」 "Your data problem isn't your fault — these systems were never designed to work together."

PhantomDecomp 採專案制服務。我們會根據您的資料規模、來源格式與治理目標,量身規劃整合方案。 PhantomDecomp operates on a project basis. We tailor integration plans based on your data scale, source formats, and governance objectives.

告訴我你有幾座資料庫、多少筆紀錄——48 小時內給你一份初步整合評估報告,免費。 Tell me how many databases you have and how many records — I'll deliver a preliminary integration assessment within 48 hours, free.

歡迎透過以下方式聯繫我們,安排一次技術諮詢。 Reach out through any channel below to schedule a technical consultation.