Extraction, Transformation and Load

Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.

dbt

Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.

Azure Data Factory

Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.

Google Dataform

Google Dataflow

Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.

Informatica Cloud

Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.

IBM DataStage

Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.

Pentaho Data Integration

Choosing the right data platform shapes everything that happens downstream and has great implications on data availability, performance of your solution, and ultimately the capacity of your ecosystem to fully meet the business needs.

Oracle Data Integrator

Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.

SAP Data Services

Modern ETL tool stack has a variety of options - from "do it all" end to end tools, to highly purpose-specific components that are responsible for one narrow area of an ETL process.

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