Apache Beam
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What is Apache Beam?
Apache Beam is an open-source, unified programming model that allows you to define and execute data processing pipelines. It supports both batch and stream processing and can be run on a variety of execution engines, such as Apache Flink, Apache Spark, and Google Cloud Dataflow. It is commonly used for tasks like data integration, ETL (Extract, Transform, Load), and building real-time analytics applications.
What other technologies are related to Apache Beam?
Apache Beam Competitor Technologies
Flink
A stream processing framework that can be used as a Beam runner, but also offers its own API for data processing.
Spark
A distributed computing framework that can be used as a Beam runner, but also offers its own API for data processing.
Luigy
No summary available
A Python package that helps you build complex pipelines of batch jobs. Not directly related to Beam but solves similar problems.
Hadoop
A distributed processing framework. While Beam can run on Hadoop, it also competes with Hadoop's MapReduce paradigm directly.
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Apache Beam Complementary Technologies
GCP Dataflow
A managed execution environment for Apache Beam pipelines. Dataflow runs Beam pipelines.
GCP BigQuery
A data warehouse that can be used as a source or sink for Beam pipelines.
Airflow
A workflow management system that can be used to orchestrate Beam pipelines or trigger Beam jobs.
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Which job functions commonly mention Apache Beam?
Data Engineer
1.4% of all Data Engineer jobs mention Apache Beam
View 3.9k
jobs on Sumble
Machine Learning
0.6% of all Machine Learning jobs mention Apache Beam
View 644
jobs on Sumble
Software Engineer
0.1% of all Software Engineer jobs mention Apache Beam
View 6.6k
jobs on Sumble
Data, Analytics & Machine Learning
0.1% of all Data, Analytics & Machine Learning jobs mention Apache Beam
View 1.5k
jobs on Sumble
Engineer
0.1% of all Engineer jobs mention Apache Beam
View 7.1k
jobs on Sumble
Which organizations are mentioning Apache Beam?
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