FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -SQL. SQL, or Structured Query Language, is the lifeblood of ETL as it is the most popular database language. Every part of ETL can be done with SQL, and often is. There are other Query Languages that can be used, but SQL is the most popular for businesses.

Detailed explanation-2: -In the first stage of the ETL workflow, extraction often entails database management systems, metric sources, and even simple storage means like spreadsheets. SQL commands can also facilitate this part of ETL as they fetch data from different tables or even separate databases.

Detailed explanation-3: -Python is one of the most popular programming languages for building ETL pipelines. Python frameworks can help you create more successful ETL pipelines. Top ETL Python frameworks include Bonobo, Bubbles, pygrametl, and Mara.

Detailed explanation-4: -Open source ETL testing ETL testing is a multi-level, data-centric process. It uses complex SQL queries to access, extract, transform and load millions of records contained in various source systems into a target data warehouse.

Detailed explanation-5: -SQL is a language to manage and query data that stored in relational databases. ETL is a method to Extract data from different sources Transform and Load the extracted data into other sources. You need an ETL tool like SSIS, Informatica, Talend, Pentaho etc.