Easy to Run AWS Glue Job with AWS Step Functions
Easy to Run AWS Glue Job with AWS Step Functions: AWS Glue is an event-driven, serverless computing platform provided by Amazon as a part of Amazon Web Services. It is a computing service that runs code in response to events and automatically manages the computing resources required by that code.
Data sources and destinations
AWS Glue for Spark allows you to read and write data from multiple systems and databases including:
CSV Files:
employees.csv
eid;ename;did;age
500;AK ;100;25
501;VK ;102;30
502;DK ;103;40
503;RK ;104;50
504;PK ;105;33
505;UK ;1001;29
departments.csv
depid;depname;createdby;createdon;modifyby;modifyon
100;HR;20240215;20240215;20240215;20240215
101;IT;20240215;20240215;20240215;20240215
102;Security;20240215;20240215;20240215;20240215
103;Payrol;20240215;20240215;20240215;20240215
104;Infra;20240215;20240215;20240215;20240215
105;CIO;20240215;20240215;20240215;20240215
Amazon S3
Amazon DynamoDB
Amazon Redshift
Amazon Relational Database Service (Amazon RDS)
Third-party JDBC-accessible databases
MongoDB and Amazon DocumentDB (with MongoDB compatibility)
Other marketplace connectors and Apache Spark plugins
Data streams
AWS Glue for Spark can stream data from the following systems:
Amazon Kinesis Data Streams
Apache Kafka
AWS Glue is available in several AWS Regions. For more information, see AWS Regions and Endpoints in the Amazon Web Services General Reference.
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