Information
Technologies:
Information technology (IT) involves using computer systems to manage, process, protect, and exchange information. This field includes a wide range of areas and specializations. The common objective across all these domains is to effectively utilize technological systems to solve problems and handle information efficiently.
Data
Transformation
Solutions:
Data transformation involves converting data from one format to another, such as from a database file, an Extensible Markup Language (XML) document, or an Excel spreadsheet. This process includes format conversion, data cleansing, and structuring information into a usable format that can be analyzed. The goal is to support decision-making processes and drive the growth of an organization.
ETL:
(Extract, Transform, Load)
Data transformation is a key component of the ETL process. Raw data is first extracted from various sources, then transformed into a usable format, and finally loaded into a data warehouse or other target system. Data transformation in observability involves converting raw log data into a structured format that is more suitable for analysis, storage, or visualization.
