
When this happens...

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
Enable Integrations or automations with these events of TMDB and Databricks
Get a list of movies ordered by popularity.
Get a list of movies ordered by popularity.
Creates a new Databricks cluster for processing tasks.
Create a directory by a path.
This action deletes a job by ID.
Creates a repo in the workspace and links it to the remote Git repo specified.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your TMDB and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in TMDB triggers actions in Databricks (or vice versa).
Absolutely. You can customize how TMDB data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between TMDB and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between TMDB and Databricks. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
TMDB (The Movie Database) is a comprehensive platform offering detailed information about movies, TV shows, and celebrities. It provides a vast collection of data including cast, crew, release dates, and more, making it an essential resource for movie enthusiasts and professionals.
Learn MoreDatabricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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