We tried extracting data from SAP into Amazon Redshift and found that the process was not complicated, and the results were satisfying. Here, we share the specific steps to help users quickly access SAP data!

Step 1. Create Data Source

After preparing the SAP Application Server URL, User, Password, Instance No, and Client ID, click Server – Manage Sources – Add to create a data source.

Fill in the Name and other connection information.

Test the connection, and after the message Connect successful appears, save it.

Step 2. Create Destination

Prepare the AWS Redshift ODBC endpoint, access credentials, and install the ODBC driver.

In the AWS Redshift console, download and install the Redshift ODBC Driver.

Record the endpoint address of the Redshift cluster, then go to the cluster to create a database access account and authorization.

In Universal Designer, click Server – Manage Destinations – Add to create a Destination.

• Name: destination name
• Type: Redshift
• Endpoint: AWS Redshift cluster endpoint address
• Port: Redshift cluster access port
• User name, Password: Redshift database credentials
• Database: target database

After filling it out, run Test connection. If successful, save it.

Step 3. Data Extraction

Prepare the already created Source and Destination.

Click New, select the created source in Source, fill in the extraction Name, and choose Table.

Click Add to find the table to be extracted.

Select the fields to be extracted. After verification, save it. Depending on actual needs, you can configure field Aggregation, Join tables, Where filter conditions, and Having clauses, etc.

Next, modify the destination. By default, the newly created extraction destination is set to http-csv file. Right-click the extraction, choose Destination Settings, and change the Destination to the pre-created one.

In this window, you can configure S3 target table name, folder, compression method, etc.

Finally, run the extraction. Right-click the extraction and choose Run, or directly click Run in the main window. This will run the process and extract the data table from SAP into AWS S3.

In this way, Theobald Xtract Universal extracts SAP data into Amazon S3. We hope these steps help you easily access SAP system data!

The post Theobald Xtract Universal Case Series #03: Extracting Table Data from SAP BW to Amazon Redshift first appeared on DKM Ecosystem.

We tried extracting SAP data into Amazon S3, and the whole process was very convenient. Here, we will share the specific steps to help users quickly access SAP data!

Step 1. Create Data Source

First, click Server – Manage Sources – Add to create a data source.

Enter the SAP S4/HANA access information.

Finally, once the connection test succeeds, just save it.

Step 2. Create Destination

At this step, you need to have the Amazon S3 access account Access Key ID and Secret Key prepared in advance.

First, click Server – Manage Destinations – Add to create a destination.

Fill in the Name, select S3 AWS from the Type dropdown menu, and enter the access information. For Connection, choose Use user credentials.

Once the test connection succeeds, save it.

Step 3. Data Extraction

After completing the first two steps, you can create a data extraction.

First, click New, select the created data source in Source, enter an extraction Name, and choose Table.

Select the data you need to extract, use the Load live preview function to preview the data, and once confirmed, click OK to save.

Right-click the newly created extraction in the list, choose Destination Settings, and change it to Amazon S3.

Run the data extraction and check the results.

In this way, Theobald Xtract Universal extracts SAP data into Amazon S3. We hope these steps help you easily access SAP system data!

The post Theobald Xtract Universal Case Series #02: Extracting BW Cube from SAP S/4HANA to Amazon S3 first appeared on DKM Ecosystem.