AWS Airflow
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What is AWS Airflow?
AWS Managed Workflows for Apache Airflow (MWAA) is a managed orchestration service that makes it easier to set up and operate end-to-end data pipelines in the cloud at scale. It allows users to use Apache Airflow to author, schedule, and monitor workflows programmatically. It's commonly used for ETL (Extract, Transform, Load) processes, data warehousing, machine learning workflows, and other complex data processing tasks.
What other technologies are related to AWS Airflow?
AWS Airflow Competitor Technologies
Azure Sunapse
No summary available
Azure Synapse Analytics provides data integration and orchestration capabilities that overlap with Airflow's functionality.
Azure Stream Analytics
Azure Stream Analytics offers some workflow capabilities for real-time data processing that could overlap with Airflow.
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AWS Airflow Complementary Technologies
SPARK Code Optimization
No summary available
Spark code optimization is crucial when using Spark tasks within Airflow to improve performance.
Google Big Tabel
No summary available
BigTable can be used as a data source or destination within Airflow workflows.
RDD Optimization
No summary available
RDD optimization is related to Spark, which can be orchestrated by Airflow, making it complementary.
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Which job functions commonly mention AWS Airflow?
Data Engineer
125 Data Engineer jobs mention AWS Airflow
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jobs on Sumble
Data Architect
8 Data Architect jobs mention AWS Airflow
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jobs on Sumble
Software Engineer
176 Software Engineer jobs mention AWS Airflow
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jobs on Sumble
Data Analyst
25 Data Analyst jobs mention AWS Airflow
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jobs on Sumble
Engineer
179 Engineer jobs mention AWS Airflow
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jobs on Sumble
Which organizations are mentioning AWS Airflow?
Cognizant Technology Solutions
Professional Services
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