andmekoondus

Andmekoondus, in Estonian, translates to data aggregation or data pooling. It refers to the process of collecting and consolidating data from various sources into a single, unified dataset or repository. This consolidated data can then be analyzed, processed, or used for a variety of purposes, such as reporting, decision-making, or further analysis.

The sources from which data can be aggregated are diverse and can include databases, spreadsheets, sensor readings, web pages, application logs, and more. The goal of andmekoondus is to create a more comprehensive and accessible view of information that might otherwise be scattered and difficult to manage. This can streamline operations, improve data quality by identifying and resolving inconsistencies, and enable more insightful analysis by combining related pieces of information.

In practice, andmekoondus often involves techniques like data extraction, transformation, and loading (ETL). Data is first extracted from its original locations, then transformed into a consistent format and structure, and finally loaded into a target system, such as a data warehouse or a data lake. This process is fundamental to many business intelligence and data analytics initiatives, allowing organizations to gain a holistic understanding of their operations and make data-driven decisions.