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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
The right pick of the database technology has great implications on data availability, query performance and ultimately the capacity of your data warehouse to fully cover 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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