Relation between Data Extraction and ETL
In the realm of ETL (Extract, Transform, Load) procedures, the significance of data extraction becomes pronounced. Embedded within the ETL framework, the journey initiates with the extraction of data from source systems, progressing through meticulous transformations to harmonize with predefined criteria. Ultimately, this refined data finds its destination in a specified repository, such as a data warehouse, marking the culmination of the process. The bedrock of subsequent phases in the ETL pipeline, data extraction stands as the inaugural stride in the methodical processing and priming of data for analytical pursuits. A fluid and effective data extraction operation becomes indispensable, laying the groundwork for the triumph and precision of downstream ETL processes.
What is Data Extraction?
Extracting data is key in managing and analyzing information. As firms collect stacks of data from different places, finding important info becomes crucial. We gather specific info from different places like databases, files, websites, or APIs to analyze and process it better. Doing this helps us make smart decisions and understand things better.
In this article, we will discuss various aspects of data extraction, its process, Benefits, Types of data extraction, and the Future of Data Extraction.
Table of Content
- What is Data Extraction
- Data Extraction process
- Types of Data Extraction
- Benefits of Data Extraction
- Popular Data Extraction Techniques
- Benefits of Data Extraction Tools
- Relation between Data Extraction and ETL