Data Engineering – SSIS/ETL/Pipelines/Python/Web Scraping

Data Engineering – SSIS/ETL/Pipelines/Python/Web Scraping is a training course on building an ETL pipeline for extracting data from a website, published by Udemy Online Academy. A data engineer has the ability to build a large ETL pipeline and can use it to extract various data from one or several different websites and display them. SSIS is a part of Microsoft SQL Server database software that can be used to transfer various types of data. SSIS is a platform for data integration. Also, SSIS has a data storage tool that is used to extract, transform and store data.ETL stands for Extract, Transform and Load, a data integration process that collects data from several different data sources and stores it in a database. The ETL gateway also collects data from several different data sources and transfers them to a single source. Integration Service (SSIS) is a convenient process for extracting data, transforming it, integrating it, and storing it for analysis. When you are dealing with large amounts of data, SSIS is the best way to integrate data. In this training course, you will learn about Web Scraping and you will be able to extract data directly from the website.