Distributed Data Management Architecture (DDM) is IBM's open, published software architecture for creating, managing and accessing data on a remote computer. DDM was initially designed to...
Data Architecture Design amp amp Data Management - Data architecture design consists of standards that have certain rules, policies, and data types to be collected, from where the data is collected...
Learn how Gartner emerging D&A technologies adoption plans helps D&A Leaders build data architecture to manage data from collection through processing, distribution & consumption.
Here, we delve into various strategies that can significantly enhance data management within software architecture, optimizing performance with effective data storage
Data Requirements - what are the input data formats & sources. What are the data SLAs - based on this we can decide if we need stream processing or batch processing for the data. Data Governance & Data Security to ensure data quality, security, compliance, and privacy. Define roles and responsibilities for data stewardship (access control). Measures to protect data from unauthorized access, breaches, and data leaks. Data Integration - how data will flow through the organization. Consider data integration tools, data pipelines, and ETL (Extract, ...
Read a comprehensive guide explaining data lakehouses, a new data management architecture that combines concepts from data lakes and data warehouses
Learn what data architecture is, how a well-designed one can benefit businesses, what the key components of a data architecture are and more in this guide.
💋 데이터베이스 기본 개념 ✔️ 데이터베이스 전자적으로 저장되고 사용되는, 관련있는 데이터들의 조직화된 집합 ✔️ DBMS database management systems 사용자에게 DB를 정의하고 만들고 관리하는 기능을 제공하는 소프트웨어 시스템 ✔️ metadata data about data 데이터베이스를 정의하거나 기술하는 데이터 데이터 유...
Data Architecture, Database management, Business Intelligence, DBMS, Data Mesh, Big Data Architecture, TOGAF
A data architecture helps to manage data from collection through to processing, distribution and consumption.