Case Study

Looker and Fivetran Creating the Ideal Modern Data Stack

Looker and Fivetran Creating the Ideal Modern Data Stack

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Looker and Fivetran Creating the Ideal Modern Data StackMany companies find that maintaining multiple data pipelines creates a strain on time and resources. Often, the crunch is due to engineering teams spending too much time managing organization-wide data queries. Centralizing data from multiple sources helps companies transform and operate efficiently, and making data accessible and actionable across all teams helps maintain a competitive advantage. The combination of having one data location, along with seamlessly accessing and analyzing information for fast decisions, help companies create an ideal modern data stack. Fivetran automates data pipelines for data ingestion from 150+ source technologies. By centralizing all data sources into supported data warehouses including G

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