データ ウェアハウスのメタデータ管理 | Gudu SQLFlow
Metadata Management for Data Warehouses Metadata management is the foundation of enterprise data governance and the improvement of data warehouse. As someone who often works with data, the first task is to understand metadata management. This article will sort
メタデータとは| |メタデータについて知っておくべきこと
What Is Metadata? Metadata is data that describes other data in a structured, consistent way, so large amounts of data can be collected, stored, and analyzed over time. Data warehouses require metadata for easy retrieval and management when storing
データ ガバナンスの成熟度モデルを測定する方法
How to Measure the Data Governance Maturity Model? Data governance protocols do not exist in an organization, and data quality cannot be guaranteed. When data is unstructured and changes made to it are not documented, its quality degrades rapidly.
データマートとは| |データマート vs データウェアハウス
What Is a Data Mart? A data mart is a warehouse that collects data from operational data and other data sources serving a particular group of professionals. In terms of scope, data is extracted from an enterprise-wide database or
Snowflake データ ガバナンス: 知っておくべき 3 つのこと
Snowflake Data Governance With the rise of SaaS applications and the migration of data processing to the cloud, countless data arrives at an ever-increasing rate, requiring real-time business decisions. Whether your organization decides to migrate its data from its
データ ガバナンス戦略: 4 つの基本原則と 4 つの主要領域
Data Governance Strategy: 4 Basic Principles and 4 Key Areas Currently, data governance for Internet companies is still immature, and there are key challenges, namely the lack of a clear definition of who owns or uses non-user content (such