Auto Loader
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What is Auto Loader?
Auto Loader is a feature in Databricks (built on Apache Spark) that incrementally and efficiently processes new data as it arrives in cloud storage. It automatically infers the schema of the data, handles schema evolution, and provides near real-time data ingestion into data lakes. It is commonly used in ETL pipelines where new files are continuously being added to a data lake.
What other technologies are related to Auto Loader?
Auto Loader Complementary Technologies
Databricks Unity Catalog
Databricks Unity Catalog is a unified governance solution for data and AI, deeply integrated with Databricks and enhances data discovery, access control, and auditing for Auto Loader pipelines. It enhances Auto Loader's capabilities by providing centralized data governance.
Databricks
Auto Loader is a Databricks feature, so Databricks provides the environment in which Auto Loader runs. Databricks as a whole is complementary.
Spark
Auto Loader builds upon Spark. It's using Spark execution engine for data processing, therefore strongly complementary.
Number of organizations that mention technology
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Which job functions commonly mention Auto Loader?
Data Architect
26 Data Architect jobs mention Auto Loader
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jobs on Sumble
Data Engineer
85 Data Engineer jobs mention Auto Loader
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jobs on Sumble
Architect
14 Architect jobs mention Auto Loader
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jobs on Sumble
Software Architect
7 Software Architect jobs mention Auto Loader
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jobs on Sumble
Software Engineer
127 Software Engineer jobs mention Auto Loader
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jobs on Sumble
Which organizations are mentioning Auto Loader?
Physician Health Partners
Health Care and Social Assistance
Alpine Physician Partners
Professional Services
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