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Connect Amazon Redshift from SQL Workbench using JDBC Driver | by Rupesh Deshmukh | Petabytz | Medium
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Building resilient applications with Amazon DocumentDB (with MongoDB compatibility), Part 1: Client configuration | AWS Database Blog
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Building resilient applications with Amazon DocumentDB (with MongoDB compatibility), Part 1: Client configuration | AWS Database Blog
![Building AWS Glue Spark ETL jobs by bringing your own JDBC drivers for Amazon RDS | AWS Big Data Blog Building AWS Glue Spark ETL jobs by bringing your own JDBC drivers for Amazon RDS | AWS Big Data Blog](https://d2908q01vomqb2.cloudfront.net/b6692ea5df920cad691c20319a6fffd7a4a766b8/2020/12/17/Building-AWS-3-WHITE.png)
Building AWS Glue Spark ETL jobs by bringing your own JDBC drivers for Amazon RDS | AWS Big Data Blog
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Developing Spring Boot Applications for Querying Data Lakes on AWS using Amazon Athena | Programmatic Ponderings
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Connect Amplify DataStore with existing SQL datasources; adding offline and sync features in your application | Front-End Web & Mobile
GitHub - awslabs/aws-mysql-jdbc: The Amazon Web Services (AWS) JDBC Driver for MySQL is a driver that enables applications to take full advantage of the features of clustered MySQL databases.
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Connecting to a DB instance running the Microsoft SQL Server database engine - Amazon Relational Database Service
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