# eltSnap

With eltSnap, you can orchestrate all your data integration workloads in the cloud, or on premise. This is made possible by our Python ELT runtime, allowing for vendor agnostic database connections.

# Extract, Load and Transform

We use an Extract, Load, then Transform (ELT) paradigm vs. the more common ETL methodology. This translates into huge cost savings and efficiency in data warehousing by doing all the data loading before the transformations. To better illustrate the benefits of ELT versus ETL we have created the following clever video

Current System Requirements (all 64-bit):

• Windows 10 or Windows Server 2016 (or later)
• SQL Server 2019 (or later) Express version is fine
• PowerShell Core 7.1.2 (or later)
• Azure Data Studio

Download from Github