1stCraft can suggest and customize a system to suit the nature of your business. Contact us here to discuss solutions for free. What is data architecture? Simple and easy explanation [within 5 minutes] 6 minutes of reading | First Craftsman Team What is data architecture? Why do we need to know this word? When jumping into the world of data and information, new vocabulary will emerge. Let’s continue learning that “Data Architecture” or “Information Architecture” is one of the things that cannot be missed when learning about data. Especially for organizations or people who have to use the data. This is another important thing that will help us manage data systematically from the basics.
This article will help you better Moldova Email List understand the concept of "data architecture" or "information architecture" and understand the importance of establishing data systems in your organization. To serve as a guide for you in selecting a tool. or continue to fine-tune the system implementation process within your organization Read by topic What is data architecture? The key elements of data architecture can be divided into three phases. 1. Data lake 2. Data warehouse 3. Data mart What is the importance of data architecture? Characteristics of data architecture that should be considered when designing 1. Ability to separate quality data (identify valuable data) 2. Effectively manage data based on usage.
Flexible architecture (Flexible System) 4. Supports cloud systems and can manage data in real time. 5. Have an interface that can be easily used by non-developers/IT people. Summary at the end of the article: Data architecture and your organization What is data architecture? Data architecture is the design and implementation of data management systems in various processes. Or it means establishing workflows for the flow of information within an organization. , software and data management responsibilities. Similar to how an 'architect' designs a building, places doors, and allocates different rooms according to function (function), conveniently and systematically. Data architecture is responsible for determining the structure or infrastructure for processing data from upstream to downstream.