Integrate Kestra in the Modern Data Stack
Enhance Data Orchestration and Analytics by Integrating Kestra with Leading Data Tools
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What is Modern Data Stack?
The modern data stack combines powerful automation and integration capabilities. Organizations can establish scalable, reliable, and streamlined data workflows by leveraging robust automation capabilities and seamless integrations with tools like dbt, Snowflake, Airbyte, and others. This ecosystem empowers data-driven decision-making and facilitates the generation of actionable insights.Leverage Modern Data Stack
Kestra's Automation and Integrations: A Powerful Combination
Discover how Kestra's automation capabilities and extensive integrations with popular data tools, from the modern data stack, empower organizations to manage data pipelines more efficiently.
Data Ingestion and Extraction with Airbyte
Kestra and Airbyte can be combined for powerful data workflows. Thanks to Kestra's automation capabilities merged with Airbyte's data connectors, users can create automated ETL processes, streamline data ingestion, and reduce manual intervention. This tight integration ensures efficient, fully automated data workflows.
Data Transformation with dbt
Once the data is extracted, it can be transformed using dbt (Data Build Tool), an open-source data transformation tool. Kestra can initiate dbt transformations by triggering dbt commands, and automating the process of cleaning, modeling, and validating the data.
Data Loading and Storage with Snowflake
Kestra can integrate with Snowflake, a cloud-based data storage and analytics platform, to load the transformed data into the company's data storage system. Automated tasks can be created to manage the data loading process, reducing the risk of errors and improving efficiency.
Data Quality with Soda
In addition to dbt or Snowflake integrations, incorporating a data quality tool, such as Soda, into your modern data stack is essential for maintaining high-quality data. Soda helps monitor, test, and validate data at different stages of the pipeline, ensuring it meets the required quality standards.
Orchestrate the Modern Data Stack with Kestra
Kestra's flexibility enables seamless integration with a variety of modern data stack tools like Apache Kafka, Apache Spark for scalable processing, Fivetran for data replication, as well as leading data tools such as dbt, Snowflake, and Airbyte. By leveraging these integrations, organizations can automate data pipeline management, customize their data pipelines to meet specific requirements, and enhance their analytics capabilities.
Key Features
Leveraging Kestra's Features
Declarative Language
Easily define and manage data workflows using YAML, which simplifies the integration process with modern data stack tools.
Workflow Orchestration
Execute tasks sequentially, in parallel, or conditionally, providing better control and flexibility while working with various data stack components.
Extensibility
Use built-in plugins or create custom plugins to seamlessly integrate with popular data stack tools and services.
Connectivity
Connect to popular data sources and cloud services such as AWS, GCP, Microsoft Azure, Snowflake, and more.
Rich & real-time UI
Create, execute, and manage data workflows using an intuitive user interface, making it easier to work with modern data stack tools.
Cloud-Native
Kestra's cloud-native architecture ensures seamless scaling and compatibility with modern data stack tools.