Source
Data Integration
Commonly referred to as ETL, data integration encompasses the following three primary operations: Extract: Exporting data from specified data sources. Transform: Modifying the source data (as needed), using rules, merges, lookup tables or…
All Partners & Technologies (Alphabetical)
Acryl Data — DataHub platform for the enterprise Security, Governance & Observability Adobe Campaign — marketing campaign management, delivery, and analysis Business Intelligence (BI)…
External lineage
It captures lineage from external ETL tools and source databases to create a unified view of how data moves through your data pipeline. OpenLineage is an open standard for capturing and sharing data lineage information across diverse…
SQL Server to Snowflake Migration Guide
Typically, this process follows an extract, transform, load (ETL) or extract, load, transform (ELT) model, depending on when and where the data transformation occurs before it becomes available to business users.
ETL Migration
The Replatform feature of SnowConvert AI can be used to migrate your legacy ETL workflows to cloud - native architectures on Snowflake. This feature converts the legacy ETL packages into modern data transformation frameworks like dbt Core,…
Data Lineage
Provides impact analysis by understanding the relationship between different objects. Enhances monitoring and troubleshooting by viewing data movement lineage and object dependencies. Facilitates compliance by tracking the flow of…
SnowConvert AI - ETL Replatform Component Summary Report
The Component Summary Report provides a comprehensive inventory of all identified SSIS components and their migration outcomes.
Snowflake key concepts and architecture
Apache Iceberg™ tables Hybrid tables Snowflake tables When data is loaded into a Snowflake table, Snowflake reorganizes that data into its internally optimized, compressed, columnar format. Snowflake stores this optimized data in cloud…
Oracle to Snowflake Migration Guide
This guide provides a comprehensive framework to navigate the technical and strategic challenges involved, ensuring a smooth transition from a traditional database architecture to Snowflake’s cloud data platform.
Databricks to Snowflake Migration Guide
Typically, this process follows an extract, transform, load (ETL) or extract, load, transform (ELT) model, depending on when and where the data transformation occurs before it becomes available to business users.