integrations destinations zendesk 
Data Engineering Podcast
MARCH 22, 2021
Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows. Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. S3/Parquet or Trino/Drill/etc.)
Data Engineering Weekly
AUGUST 6, 2023
My mental model for the dbt workload is more similar to Spark's RDD [It is one of the reasons why I am excited about dbt-duckdb integration]. The author narrates how Zendesk builds a generic configurable framework to de-duplicate. One of the standard challenges in a data pipeline is de-duplication.
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Data Engineering Podcast
MAY 10, 2021
Their SDKs and plugins make event streaming easy, and their integrations with cloud applications like Salesforce and ZenDesk help you go beyond event streaming. For users of Tinybird, can you talk through the workflow of getting it integrated into their platform and designing an API from their data? Sound exciting?
Data Engineering Podcast
FEBRUARY 22, 2021
Summary Data integration is a critical piece of every data pipeline, yet it is still far from being a solved problem. There are a number of managed platforms available, but the list of options for an open source system that supports a large variety of sources and destinations is still embarrasingly short.
Grouparoo
MAY 4, 2021
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,
Grouparoo
SEPTEMBER 2, 2021
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.
Data Engineering Podcast
MARCH 8, 2021
This introduces challenges such as keeping information synchronized, managing schema evolution, building transformations to match the expectations of the destination systems. Datafold integrates with all major data warehouses as well as frameworks such as Airflow & dbt and seamlessly plugs into CI workflows.
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