What is Data architecture? Components, Frameworks, Characteristics & Salary

A company's data architecture describes the procedures it follows to gather, store, and manage information. It explains how data assets and management resources are structured and organized. In this case, individuals who require the data will benefit from a well-organized set of records. It includes everything needed to keep data in an organization in working order, including rules, policies, models, and standards.

The data architecture's primary function is to translate business requirements into information and technological specifications, making it the backbone of any company plan. It controls how information is handled and moved around a company.

Through this article, where we already had a short introduction to data architecture, we will now understand the components, characteristics, and frameworks of data architecture and also the salary of professionals in this domain.
Data Architecture Components
Modern data architecture consists of many parts, including:
● Data Pipelines: It is an umbrella term for the activities involved in gathering data, cleaning it up, storing it, analyzing it, and transporting it. Data pipelines describe the complete process, beginning with where information is gathered and ending with how it is moved.
● Cloud storage: When people talk about "the cloud," they're referring to a remote data storage facility that can only be accessed via the internet.
● API’s: Through the application programming interface, a host and a requester can exchange data. The IP address is the connecting factor for the conversation. The API is capable of relaying a wide variety of data to the end user.
● AI & ML models: AI/ML facilitates an automated data architecture. Data collecting, labeling, etc., can be combined with computational reasoning to yield informed choices and predictions.
● Data streaming: The term "data streaming" describes the transfer of data in an uninterrupted st