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Free Guide
Orchestrating Data Pipeline Workflows With and Without Apache Airflow
Is Airflow right for your next big data project? Read our guide to find out.
Apache Airflow is a powerful and widely-used open-source workflow management system (WMS) designed to programmatically author, schedule, orchestrate, and monitor data pipelines and workflows. Airflow enables you to manage your data pipelines by authoring workflows as Directed Acyclic Graphs (DAGs) of tasks.
Download our free white paper to learn:
- Overview of orchestration via DAGs in Airflow
- Ideal use cases and advantages of Airflow
- Cons and challenges when using Airflow
- An alternative approach based on declarative data pipelines
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This guide is for:
- Data engineering leaders who want to understand how to solve practical security and privacy challenges on cloud data lakes
- CIOs who want to ensure their organization is compliant and reduce operational risks
- CTOs who want to discover cloud architecture best practices
Powering data lakes for data-intensive companies
