We are thrilled to announce the general availability of Hortonworks DataFlow version 3.0. In this release, Hortonworks has introduced two innovative, open source product modules – Streaming Analytics Manager and Schema Registry.
In our previous blog series, we described the ease of building a fully functional streaming analytics application and the need for an integrated schema registry. Please read the details here and here.
Both modules enable our customers to design, develop, test, deploy and maintain streaming analytics applications with minimal special skills and training needed.
To realize the full potential of modern data applications, organizations need to capture both rich, historical insights from data at rest, and perishable insights from data in motion. Currently, flow management tools are available to help gather, route, filter and transform data from any source. But companies have lacked equivalent tools for building the analytics apps needed to extract insight from streaming data. Hortonworks has addressed this need with the release of Streaming Analytics Manager and Schema Registry.
Below is an illustration of the entire and updated Hortonworks DataFlow platform:
Here are more details on Streaming Analytics Manager and Schema Registry.
Using Streaming Analytics Manager, users can write complex streaming analytics apps without writing a single line of code. Eliminating the need for specialized skillsets, Streaming Analytics Manager provides a graphic programming paradigm with a drag-and-drop interface to build streaming apps for event correlation, context enrichment, and complex pattern matching. In addition, analytical aggregations with automated alerts become available when insights are discovered.
Using this this solution, Hortonworks customers will get a similar rich experience for building streaming analytics applications that they already enjoy building flow management applications. Furthermore, Streaming Analytics Manager brings these apps to market considerably faster, at a lower cost, to accelerate time to value and strategic impact.
Last, Streaming Analytics Manager provides powerful tools to meet the needs of three big data personas: developers, business analysts and IT operations teams.
Below are some great screen shots to showcase how Hortonworks Schema Registry works:
Schema Registry improves end-to-end data governance and operational efficiency by providing a centralized registry, supporting version management and enabling schema validation.
There are three major benefits for this new module:
We are very excited about the new innovations made available to the public with the announcement of HDF 3.0.
For more information: