Alteryx, one of the leading providers of self-service analytics have released Alteryx Analytics 2018.1.
This collaborative platform helps data scientists and business analysts to discover, prepare, and blend from more data sources, and easily operationalize models.
Let’s have a quick sneak-peek at the features of the new 2018.1 platform:
- Collaborative Insights: These insights will help in gaining quick access to the right data at the right time in a governed manner. Using the Alteryx Connect Loaders one can directly access metadata stored in DB2, HDFS, and SAP Hana. One can also evaluate and display analytic assets. The option to find, view and launch assets stored in Alteryx Connect directly from Alteryx Designer using the global search is possible using these insights. One can also establish Alteryx Connect lineage from Designer workflows that use In-Database processes/tools.
- Analytic Flexibility: The 2018.1 platform can be utilized for harnessing the full value of one’s existing architecture and emerging data assets. The user can experience expanded data connections i.e., new connectors for AWS Athena, Redshift spectrum, and an enhanced integration with Excel. This new version has a new Tableau support, which outputs directly from an Alteryx workflow into Tableau Hyper. One can execute code from R, Python or Scala directly against the Spark cluster with the new code tool for Apache Spark. Generating fast and accurate suggestions, error notifications, and auto-completion of expressions are all now possible.
- Operationalize Models : One can easily deploy predictive models (built in Alteryx, R, or Python) into production with Alteryx Promote. Also, this new version allows managing models from development to production to ensure they deliver the best impact on the business. It also aids in monitoring model performance and health in order to understand if the model need to be retrained or discarded.
Read more about this topic in detail on the Alteryx Community Blog.