데이터 웨어하우스를 위한 메타데이터 관리 | 구두 SQL플로우
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
메타데이터란 무엇인가? | 메타데이터에 대해 알아야 할 모든 것
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
데이터 거버넌스 성숙도 모델을 측정하는 방법은?
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.
데이터마트란 무엇인가? | 데이터마트 대 데이터웨어하우스
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 데이터 거버넌스: 알아야 할 3가지
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
데이터 거버넌스 전략: 4가지 기본 원칙과 4가지 핵심 영역
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