Boomi’s acquisition of Unifi, a company with a comprehensive range of self-service data discovery and processing tools that have received high rankings, strengthens its integration and data visibility capabilities. These tools enable business users to overcome the barriers of operational data silos and make their information more accessible across the company. Now that they are integrated into the Boomi platform as Boomi Data Catalog and Preparation (DCP), enterprises will be able to capitalize on DCP's built-in AI to get the maximum out of massive amounts of unidentified data.
For organizations with a minimum of business applications that require data from consistent data sources, Boomi Data Catalog and Preparation can track applications, identify records, and automate management. In addition, it provides a unified metadata view for users to automate data management. In short, you get a highly Modern Data Management with Boomi.
Moreover, this technology uses Artificial intelligence to automatically catalog, search and discover data where it sits that can save time from moving data to a central repository or data lake. Additionally, DCP generates recommendation tags and PII masking based on user-annotated entries. As a result, customers can reduce error-prone manual tasks with auto-mapping of attributes, finding similar data sets across their data landscape and then automate steps a user typically takes to cleanse, enrich, parse, normalize, transform, filter, and format data before visualization to capture insights from loads of unidentified data, making it available across the enterprise.
The Data Catalog feature enables data preparation for business users who leverage Boomi DCP node as a new or existing big data cluster.
It provides a central repository for data sources, detailed metadata and brings unknown and unused data to the attention of business analysts.
Business analysts can use DCP to create powerful summaries of data transformation with basic knowledge of relational data and common SQL commands. This feature enables data management staff to configure the right data access for the right users, use role based DCP security, and integrate with existing sources and control systems.
Its self-service data catalogue and processing capabilities enable users to generate insights. Merging known and unknown data is important to ensure that we understand data sets in different environments, from multi-cloud, on-premises, hybrid cloud and SaaS applications to the edge. In contrast to the manual processes of the past, the data are standardized.