What is the ETL process in Devops?
Extract, transform, load (ETL) process The data transformation that takes place usually involves various operations, such as filtering, sorting, aggregating, joining data, cleaning data, deduplicating, and validating data. Often, the three ETL phases are run in parallel to save time.
What are the 5 steps of the ETL process?
The 5 steps of the ETL process are: extract, clean, transform, load, and analyze. Of the 5, extract, transform, and load are the most important process steps. Clean: Cleans data extracted from an unstructured data pool, ensuring the quality of the data prior to transformation.
What is the ETL process?
Extract, transform, and load (ETL) is the process of combining data from multiple sources into a large, central repository called a data warehouse. ETL uses a set of business rules to clean and organize raw data and prepare it for storage, data analytics, and machine learning (ML).
What is the elt process?
What is ELT? ELT, which stands for Extract, Load, Transform, is another type of data integration process, similar to its counterpart ETL, Extract, Transform, Load. This process moves raw data from a source system to a destination resource, such as a data warehouse.
Is SQL an ETL tool?
ETL and SQL are two distinct concepts serving different purposes in data management. ETL (Extract, Transform, Load) ETL tools extract and load data from structured and unstructured data sources into analytics environments. SQL (Structured Query Language) is a programming language for managing relational databases.
