AWS Glue is a fully managed ETL (extract, transform, and load) service that can categorize your data, clean it, enrich it, and move it between various data stores.
Here are some bullet points in terms of how I have things setup: I have CSV files uploaded to S3 …
amazon-web-services jdbc pyspark aws-glueJust a quick question to clarify from Masters, since AWS Glue as an ETL tool, can provide companies with benefits …
amazon-web-services etl amazon-emr aws-glueAWS Glue jobs log output and errors to two different CloudWatch logs, /aws-glue/jobs/error and /aws-glue/jobs/output by …
pyspark aws-glueWhat is the easiest way to use packages such as NumPy and Pandas within the new ETL tool on AWS …
python pandas amazon-web-services aws-lambda aws-glueObjective: We're hoping to use the AWS Glue Data Catalog to create a single table for JSON data residing in …
amazon-redshift aws-glue amazon-dynamodb-streams amazon-redshift-spectrumI'm using AWS S3, Glue, and Athena with the following setup: S3 --> Glue --> Athena My raw …
amazon-s3 parquet amazon-athena aws-glueAfter reading Amazon docs, my understanding is that the only way to run/test a Glue script is to deploy …
python amazon-web-services aws-glueI am relatively new to AWS and this may be a bit less technical question, but at present AWS Glue …
amazon-web-services aws-glueI found that AWS Glue set up executor's instance with memory limit to 5 Gb --conf spark.executor.memory=5g and …
amazon-web-services apache-spark aws-glueWhat is the difference? I know that DynamicFrame was created for AWS Glue, but AWS Glue also supports DataFrame. When …
amazon-web-services apache-spark pyspark aws-glue