Remove integrations destinations marketo
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Digging Into Data Replication At Fivetran

Data Engineering Podcast

Because of the myriad sources and destinations that are available, it is also among the most difficult tasks that we encounter. Integration of multiple data sources (e.g. What have you found to be the most challenging aspects of working in the space of data integrations?}} Integration of multiple data sources (e.g.

Media 100
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Using Sync Modes in Grouparoo

Grouparoo

A few weeks ago we wrote about Sync Modes and why they may be useful when it comes to syncing data to a destination. In short, Sync Modes allow you to have more control over what operations are performed and how Grouparoo interacts with contacts that may already exist in the destination system. In Grouparoo v0.3,

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Sync modes - Intentional data syncing

Grouparoo

Grouparoo supports syncing data to an ever-growing number of destinations. While building these integrations and talking to our users, we have found it's important to be intentional about how exactly data syncing to these destinations is performed. No profiles are added or removed.

Data 52
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Grouparoo v0.6 release

Grouparoo

New destinations: Mixpanel, Mailjet Profile deletion Data systems are often quite good at ingesting new data, but things get complicated when it gets deleted. If they had previously been synchronized to a destination system its settings allow removal, the user will then be removed from that system as well.

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Development workflow for Reverse ETL

Grouparoo

Grouparoo Cloud helps make deployments quick and easy, optimizes Infrastructure for your Grouparoo instance, and provides Github integration for Continuous Deployment and Testing. This includes aspects such as config-as-code checked into git, tests and continuous integration, code reviews, staging environments, and production deployments.

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Declarative Data Sync

Grouparoo

Developers have been using the Grouparoo UI to set up automated data movement from their databases to Mailchimp, Marketo, Salesforce, and more. While having these integrations already written for them saved plenty of time, there was something they missed: their normal developer workflow. Here is the example app from the video.

Data 52
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Data Engineering Weekly #122

Data Engineering Weekly

Feature design Feature catalog Feature computation engine Feature governance Feature monitoring [link] Sponsored: RudderStack Transformations - Move Faster and Build Data Trust With Device Mode Transformations, you can transform data sent to downstream integrations running in device mode. from the browser or mobile app).