RightData Integrations

Find, access and take action with your data. A user-friendly AI-powered data gallery will help your users find the data they are looking for. This solution is designed to democratize access to data within your organization. It offers a seamless online experience for exploring data assets across the enterprise, finding them, evaluating them, and taking actions. A seamless online shopping experience for data consumers that makes it easy to find and act on your data products. Data products are tagged and classified to improve findability. Consumers can use their existing BI tools and analytic software or interact with data using NLP. Controlling access to data within an organization is made easy. Set permissions for data products by role and grant access to requests easily.

DataTrust accelerates test cycles and reduces the cost of delivery through continuous integration and continuous distribution (CI/CD). It is a powerful tool for data validation, data reconciliation, and data observability at a large scale. It is code-free and easy to use. Re-usable scenarios allow you to perform comparisons, validations and reconciliations. Automate your testing process and be alerted to any issues that arise. Interactive executive reports that provide insights into the quality dimension. Filters to customize drill-down reports. Compare row counts for multiple tables at the schema level. Checksum data comparisons can be performed for multiple tables. Rapid generation of business rule using ML. Flexibility in accepting, modifying, or discarding rules as required. Reconciling data across multiple sources. DataTrust solutions offer a full suite of applications for analyzing source and target datasets.

DataFactory has everything you need to integrate data and build efficient data pipelines. Transform raw data to information and insights faster than with other tools. No more writing pages of code just to move or transform data. Drag data operations directly from a tool pallete onto your pipeline canvas for even the most complex pipelines. Drag and drop data transformations to a pipeline canvas. Build pipelines in minutes that would have taken hours to code. Automate and operationalize by using version control and an approval mechanism. Data wrangling used to be one tool, pipeline creation was another and machine learning yet another. DataFactory brings all of these functions together. Drag-and-drop transformations make it easy to perform operations. Prepare datasets for advanced analytics. Add & operationalize ML features like segmentation and category without code.