Data Pipeline
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Explore more → **Data Pipeline**
What is Data Pipeline?
A data pipeline is a set of data processing steps that work together to extract data from a source, transform it into a desired format, and load it into a destination for storage or analysis. Data pipelines are commonly used to automate data integration, enabling businesses to gain insights from diverse data sources.
What other technologies are related to Data Pipeline?
Data Pipeline Competitor Technologies
Data engineering platforms
No summary available
Data engineering platforms offer similar functionality to data pipelines for building and managing data workflows.
AWS Glue
AWS Glue is a fully managed ETL service that competes with general-purpose data pipelines.
Step Functions
AWS Step Functions is a service for orchestrating workflows, which overlaps with the functionality of data pipelines.
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Data Pipeline Complementary Technologies
data collection
Data pipelines are used to move data from various data collection sources.
Data Quality
Data pipelines often incorporate data quality checks and improvements.
AWS Redshift
AWS Redshift is a data warehouse service often used as a destination in data pipelines.
Number of organizations that mention technology
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Which job functions commonly mention Data Pipeline?
Data Engineer
0.3% of all Data Engineer jobs mention Data Pipeline
View 869
jobs on Sumble
Data Architect
0.3% of all Data Architect jobs mention Data Pipeline
View 111
jobs on Sumble
Software Engineer
1779 Software Engineer jobs mention Data Pipeline
View 1.8k
jobs on Sumble
Engineer
1940 Engineer jobs mention Data Pipeline
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jobs on Sumble
Engineering & R&D
1945 Engineering & R&D jobs mention Data Pipeline
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jobs on Sumble
Which organizations are mentioning Data Pipeline?
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