What Makes A Good ETL?
In today’s day and age, data is the new oil. Companies large and small depend on data to run their businesses and make strategic decisions. As a result, companies are seeking ways to gather, store, manage, and analyze this data.
ETL (extract, transform, load) refers to the process of loading data into a database or spreadsheet from one of several sources. It’s often referred to as “data ingestion” or “data integration”, depending on whether it involves extracting data from a file or streaming data from a third party source.
The term “ETL” was coined by IBM in 1968 as a shorthand for the phrase ‘Extraction, Transformation, Loading’. Today, ETL is a common term in business, IT, and analytics circles.
While there are many different kinds of ETL, many organizations face similar challenges in ETL projects. These challenges include:
How to automate ETL processes
How to easily integrate existing systems with new ones
How to move data efficiently across platforms
How to ensure quality assurance
As such, we’ve compiled a list of 5 key qualities that a good ETL solution must have.
#1: Easy to Use
A good ETL solution needs to be user friendly. Users shouldn’t spend more than 30 minutes setting up the system. They should also not need any training before using the system.
What Is ETL Software ETL stands for Extract Transform Load. ETL is the process of taking data from different sources, transforming it, and loading it into databases.