Hi Talend Community, Here are some links that may be useful as you begin to use Talend Data Streams. Getting Started Page Your go-to page for Data Streams resources. Streaming data examples and tutorials as well as links to all the resources listed below can be found here. Data Streams Product Details Use this page to gain a high-level understanding of what Talend Data Streams does and where to launch it Getting Started Guide This guide gives a you a step-by-step tutorial to build your first pipeline in Data Streams How to Launch the AMI A step-by-step guide for launching and troubleshooting your Data Streams AMI. Data Streams User Documentation Access all of our user documentation related to Data Streams here. If you haven’t had a chance to launch the AMI yet, visit our AWS Marketplace page. If you have any questions, please feel free to post them on this thread.
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We are excited to announce Talend Data Streams for AWS, a new free offering for self-service integration. Talend Data Streams is built with streaming and cloud capabilities at its core.
With Talend Data Streams, you can utilize streaming messaging services like Kafka, Kinesis, and Google Pub/Sub. Additionally, this app enables schema-on-read design, so you don’t need to worry about changing schemas breaking your pipelines. There is also a live preview feature that allows you to see how your data changes in real-time at every step of your design process in the same design canvas where you are building your pipeline. Last, due to the the rise of popularity of Python for data engineers, data scientists, and data analysts, Data Streams also has a built-in component allowing you to extend integration with your own Python code.
Unlike our past offerings, everything you need to run Talend Data Streams for AWS is packaged within an easy-to-launch AMI on the AWS Marketplace. The free application is available on AWS Marketplace now with no software cost. To launch Talend Data Streams for AWS, please visit our AWS Marketplace page .
This is a new product, so we are very interested in any feedback that you have as you’re working with the application. If you have any questions, run into any issues, or if you have any feedback to give, please leave a reply on this post!
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I had the same issue a few days ago. To make the studio work, I needed to use java version 1.8.0_151 (161 and 162 did not work for me), and I had to change the plist as described here: https://jira.talendforge.org/browse/TUP-18888?focusedCommentId=525627&page=com.atlassian.jira.plugin.system.issuetabpanels%3Acomment-tabpanel#comment-525627 In addition, I had to add the following to the TOS_BD-macosx-cocoa.ini file: -vm /Library/Java/JavaVirtualMachines/jdk1.8.0_151.jdk/Contents/Home/jre Hope this helps!
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