ETL - Extract, Transform, & Load
Use data connectivity and preparation technologies to seamlessly import and perform the extract, transform, and loading of data. Users can spend up to 80% of their time on data preparation, delaying the time to analysis and decision making. ETL is designed to help address these challenges.
Getting Started with ETL
An introductory guide for performing basic ETL tasks on a variety of data sources: web, on-premise, relational databases, big-data, documents, files, and more.
Data Tables
Learn how to apply ETL to Data Tables
Pivoting Data
Learn ETL techniques for pivoting data
Filtering Data
Learn how to dynamically filter data
Transforming Data
Learn how to dynamically filter data
Conditional Logic
Learn how to dynamically filter data
Functions & Parameters
Create dynamic queries with functions & parameters
Calendar Tables & Dates
Learn how to work with Date Tables
Importing Single File Data
Learn how to import single file data
Importing Multiple File Data
Learn how to import multiple file data
Getting Network / Web Data
Learn how to get data from the web
Practical Applications
Learn some practical applications of ETL
Quality Checking & Maintenance
Use ETL to Quality Check your data
Community Resources
Connect with other ETL users
Related Technologies
Learn about related technologies, and other ETL vendors
