In Control Hub, you can build Data Collector, Transformer, and Transformer for Snowflake pipelines. To choose which type of pipeline to build, you need to understand how they are similar and different. At a high level, here's how the pipelines compare: Data Collector pipelines

Platform Architecture & Core Components The StreamSets DataOps Platform is made up of a Cloud Control Plane (Control Hub) and a Hybrid Data Plane. The Data Plane is where ingestion engines (Data Collector) and transformation engines (Transformer) reside. The Data Plane operates securely in your own environments (on-premise or in

Control Hub applications store data in relational and time series databases. Before you install Control Hub, you must set up the required database instances. The following image displays the architecture of Control Hub:

StreamSets Control Hub TM is a central point of control for all of your dataflow pipelines. Control Hub allows teams to build and execute large numbers of complex dataflows at scale. Teams of data engineers use the shared repository provided with Control Hub to …

As the center of the StreamSets Platform, Control Hub lets your entire extended team collaborate on data pipelines running on Data Collector and Transformer, and gives you a real-time, end-to-end view of all data pipelines across your enterprise.

IBM StreamSets has three engines, Data Collector, Transformer, and Transformer for Snowflake, each of which can be deployed independently in your corporate network but managed together in Control Hub. To build pipelines in Control Hub, you select an available authoring engine.

Nov 26, 2021 · Existing Data Collector 3.x users who have upgraded to Data Collector 4.x can continue using the local Data Collector UI for the lifespan of 4.x. The recommended approach for these existing Data Collector local UI users is to switch as …

In Data Collector or Transformer, you can monitor and view the details of a single pipeline. However, you typically run multiple intermediary pipelines, all of which work together to create a complete dataflow. As a data architect, you create a topology in Control Hub to map multiple related jobs into a single view. A topology provides ...

Use an authoring Data Collector to design pipelines and to create connections. Use an execution Data Collector to execute standalone and cluster pipelines run from Control Hub jobs. A single Data Collector can serve both purposes.

The StreamSets Summer ‘21 service includes the ability to easily install or cloud-deploy the user-managed Data Collector and Transformer engines which actually run the data pipelines. The combination of the StreamSets Control Hub service and the engines constitutes the overall StreamSets DataOps platform.