Stream sets
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What is Stream sets?
StreamSets is a data integration platform designed for building and operating data pipelines. It helps organizations ingest, process, and deliver data between various sources and destinations, often in real-time or near real-time. It is commonly used for data ingestion into data lakes, data warehouses, and operational systems, and can handle both batch and streaming data.
What other technologies are related to Stream sets?
Stream sets Complementary Technologies
PySpark
PySpark provides a Python API for Spark, which can be used for data processing pipelines similar to StreamSets Data Collector, and is a common source or target for it.
Spark
Spark is a data processing engine often used as a source or destination for data pipelines built with StreamSets.
Kafka
Kafka is a distributed streaming platform often used as a source or destination for data pipelines built with StreamSets.
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Which job functions commonly mention Stream sets?
MLOps Engineer
0.1% of all MLOps Engineer jobs mention Stream sets
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jobs on Sumble
Data Architect
21 Data Architect jobs mention Stream sets
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jobs on Sumble
Data Engineer
96 Data Engineer jobs mention Stream sets
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jobs on Sumble
Software Engineer
156 Software Engineer jobs mention Stream sets
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jobs on Sumble
Engineer
169 Engineer jobs mention Stream sets
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jobs on Sumble
Which organizations are mentioning Stream sets?
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