On September 27, 2016, Syncfusion Product Manager Chad Church presented Data to Dashboard with the Syncfusion Integration Platform, a webinar showing how to employ all the power of the Syncfusion Integration Platform from data integration to data exporting, which can be delivered to the Syncfusion Dashboard Platform for data visualization.
The end of the webinar was open to audience questions, which are presented here with answers.
Yes. This is quite simple to do. You can create a REST service using any technology that meets your needs, and you can have the JSON data automatically processed by a workflow running inside the Syncfusion Data Preparation Platform. You can also use GetHTTP as a processor. This can poll a URL and write results to a file for further processing.
Yes, absolutely. Most things you can do in code can instead be accomplished using the configuration system. This makes the system powerful and easy to maintain.
Yes. You can merge from any source and process into tabular format. You can then store into a SQL store for exposure downstream.
Yes. Your workflow will do the conversion inside the Syncfusion Data Preparation Platform. The final step will call InvokeHTTP, or something similar, to post to AWS.
Not that we know of. It will be possible to have a custom SQL processor implemented, which will make the caching transparent. We can implement internally with SQLite or something similar. Alternatively, you can also push into a Hive table store to process SQL that way.
Yes. This is configurable.
Yes.
Typically, you implement a custom processor using Java. You can also use a Java template and invoke C# to do the actual work. Syncfusion can help through our Direct-Trac support system.
We recommend that you download the beta version and play with the samples to get a feel for it. It is pretty straight forward to work with and start using for even complex ETL.
Our free Community License is for companies with less than a million dollars (US) in annual revenue.
Yes, absolutely.
Both are comparable. Licensing is the main difference.
Yes.
It installs with MSI. No configuration or special requirements are needed.
Yes. All JDBC sources are supported.
There are no production fees. If you qualify to use it, you qualify for production too. There are no run-time fees or distribution fees either.
It is completely configurable.
Yes. It is supported through standard API points.
Typically, the OLAP data source will be custom-designed to accommodate all your OLTP data in a form that can be easily consumed.
The entire webinar can be viewed at https://youtu.be/ST0u5QyDFmc.