Integrate Amazon S3 with External Services using SnapLogic

SnapLogic is an integration platform-as-a-service (iPaaS) that allows users to create data integration flows with no code. When paired with the CData JDBC Drivers, users get access to live data from more than 250+ SaaS, Big Data and NoSQL sources, including Amazon S3, in their SnapLogic workflows.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Amazon S3 data. When platforms issue complex SQL queries to Amazon S3, the driver pushes supported SQL operations, like filters and aggregations, directly to Amazon S3 and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying lets you work with Amazon S3 data using native data types.

Connect to Amazon S3 in SnapLogic

To connect to Amazon S3 data in SnapLogic, download and install the CData Amazon S3 JDBC Driver. Follow the installation dialog. When the installation is complete, the JAR file can be found in the installation directory (C:/Program Files/CData/CData JDBC Driver for Amazon S3/lib by default).

Upload the Amazon S3 JDBC Driver

After installation, upload the JDBC JAR file to a location in SnapLogic (for example, projects/Jerod Johnson) from the Manager tab.

Configure the Connection

Once the JDBC Driver is uploaded, we can create the connection to Amazon S3.

1. Navigate to the Designer tab
2. Expand "JDBC" from Snaps and drag a "Generic JDBC - Select" snap onto the designer 👁 Adding a Generic JDBC snap onto the designer
   
3. Click Add Account (or select an existing one) and click "Continue"
4. In the next form, configure the JDBC connection properties:
   • Under JDBC JARs, add the JAR file we previously uploaded
   • Set JDBC Driver Class to cdata.jdbc.amazons3.AmazonS3Driver

   • Set JDBC URL to a JDBC connection string for the Amazon S3 JDBC Driver, for example:

     jdbc:amazons3:AccessKey=a123;SecretKey=s123;RTK=XXXXXX;

     NOTE: RTK is a trial or full key. Contact our Support team for more information. 👁 Configuring a connection (Salesforce is shown)
     

     Built-In Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Amazon S3 JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     java -jar cdata.jdbc.amazons3.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     To authorize Amazon S3 requests, provide the credentials for an administrator account or for an IAM user with custom permissions. Set AccessKey to the access key Id. Set SecretKey to the secret access key.

     Note: You can connect as the AWS account administrator, but it is recommended to use IAM user credentials to access AWS services.

     For information on obtaining the credentials and other authentication methods, refer to the Getting Started section of the Help documentation.

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     
5. After entering the connection properties, click "Validate" and "Apply"

Read Amazon S3 Data

In the form that opens after validating and applying the connection, configure your query.

• Set Schema name to "AmazonS3"
• Set Table name to a table for Amazon S3 using the schema name, for example: "AmazonS3"."ObjectsACL" (use the drop-down to see the full list of available tables)
• Add Output fields for each item you wish to work with from the table

Save the Generic JDBC - Select snap.

With connection and query configured, click the end of the snap to preview the data (highlighted below).

Once you confirm the results are what you expect, you can add additional snaps to funnel your Amazon S3 data to another endpoint.

Piping Amazon S3 Data to External Services

For this article, we will load data in a Google Spreadsheet. You can use any of the supported snaps, or even use a Generic JDBC snap with another CData JDBC Driver, to move data into an external service.

1. Start by dropping a "Worksheet Writer" snap onto the end of the "Generic JDBC - Select" snap.
2. Add an account to connect to Google Sheets 👁 Connecting to Google
   
3. Configure the Worksheet Writer snap to write your Amazon S3 data to a Google Spreadsheet 👁 Writing to a Google Spreadsheet
   

You can now execute the fully configured pipeline to extract data from Amazon S3 and push it into a Google Spreadsheet.

More Information & Free Trial

Using the CData JDBC Driver for Amazon S3 you can create a pipeline in SnapLogic for integrating Amazon S3 data with external services. For more information about connecting to Amazon S3, check at our CData JDBC Driver for Amazon S3 page. Download a free, 30 day trial of the CData JDBC Driver for Amazon S3 and get started today.