AWS Glue is a fully managed ETL (extract, transform, load) service that automates the process of discovering, cataloging, and transforming data for analytics. It simplifies data preparation by providing tools to create and run ETL jobs, making it easier to move data between various data stores and prepare it for analysis.
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About AWS Glue
AWS Glue was launched by Amazon Web Services in 2017. It was created to address the challenges of data preparation and integration, providing a fully managed ETL service that automated the process of discovering, cataloging, and transforming data for analytics. The goal was to simplify data workflows and reduce the time required to prepare data for analysis.
Strengths of AWS Glue include its fully managed nature, scalability, and integration with other AWS services. Weaknesses involve potential cost for high-volume data processing and a learning curve for complex ETL tasks. Competitors include Apache NiFi, Talend, Informatica, and Microsoft Azure Data Factory.
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How to hire a AWS Glue expert
An AWS Glue expert must have skills in ETL processes, Python or Scala scripting, AWS services integration (such as S3, Redshift, and RDS), data cataloging, Spark for distributed data processing, and familiarity with SQL for querying data.
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