Data Fusion
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Explore more → **Data Fusion**
What is Data Fusion?
Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any individual data source. It is commonly used in applications such as sensor networks, robotics, image analysis, and intelligence gathering to improve decision-making, reduce uncertainty, and enhance situational awareness.
What other technologies are related to Data Fusion?
Data Fusion Competitor Technologies
Number of organizations that mention technology
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Data Fusion Complementary Technologies
GCP Dataflow
A fully-managed, serverless stream and batch data processing service that can be used as a compute engine in Data Fusion pipelines.
GCP Dataproc
A managed Spark and Hadoop service that can be used as a compute engine within Data Fusion, particularly for larger datasets or existing Spark/Hadoop workloads.
GCP Cloud Composer
A managed Apache Airflow service that can be used to orchestrate Data Fusion pipelines and other data processing tasks.
Number of organizations that mention technology
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Which job functions commonly mention Data Fusion?
Data Engineer
0.4% of all Data Engineer jobs mention Data Fusion
View 1.1k
jobs on Sumble
Data Architect
0.2% of all Data Architect jobs mention Data Fusion
View 75
jobs on Sumble
Analytics Engineer
0.2% of all Analytics Engineer jobs mention Data Fusion
View 24
jobs on Sumble
Software Engineer
1507 Software Engineer jobs mention Data Fusion
View 1.5k
jobs on Sumble
Engineer
1730 Engineer jobs mention Data Fusion
View 1.7k
jobs on Sumble
Which organizations are mentioning Data Fusion?
Georgia Tech Research Institute
Scientific and Technical Services
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