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Streamline your data pipeline setup with our Apache Airflow Instantiation service, enabling you to effortlessly deploy and configure your workflow management system for efficient data processing, scheduling, and monitoring.
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Our team members have helped early-stage startups and significant enterprises reshape their pipelines and DAGs. Our team can work with you to understand your specific needs and requirements and provide tailored solutions to meet them. We can also guide best practices and help you optimize your Airflow workflows for performance and scalability.
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The latest posts from our blog
Harness the Power of dbt Core in Airflow with Astronomer Cosmos on MWAA
Learn how to set up and run Astronomer Cosmos, an open-source package that allows you to run dbt core projects as Apache Airflow DAGs and Task Groups with ease. This blog post, provides a comprehensive guide to running Cosmos on MWAA (Amazon Managed Workflows for Apache Airflow). You'll find step-by-step instructions, including setting up a virtual environment, adding Cosmos to your project, embedding a dbt project, creating an Airflow DAG, and more. Read More
Chris
Splitting Nested JSON Into Individual Rows in Redshift
Explore the art of transforming JSON data in Amazon Redshift databases, mastering elegant techniques to split and extract data from nested structures. Uncover time-saving strategies for managing one-to-many relationships and enhancing data manipulation workflows. Read More
Chris
Distinctions between Data Analysts, Data Scientists, and Data Engineers
Discover the distinctions between Data Analyst, Data Engineer, and Data Scientist roles and learn the essential skills required to transition from one to the other. Read More
Chris