Arcadia Data, a provider of visual analytics software, has announced the launch of Arcadia Enterprise 4.0, with enhancements for building, branding, sharing, and embedding data-centric applications to help make Apache Hadoop and cloud-based data lakes more accessible and valuable to internal and external users.
The new release will be available to users in the second quarter of 2017.
Many organizations can't get the full value from their big data projects because they are limited by BI and visualization tools that only analyze a sub-segment of data extracted from Hadoop and other scale-out platforms, according to Priyank Patel, co-founder and chief product officer at Arcadia Data. By providing a distributed visual analytics solution that is easy for architects and developers to build, and for users to embed and leverage to gain real-time insights, Arcadia Data, he noted, is helping organizations to solve their most complex big data problems.
Key among the enhancements in Arcadia Enterprise 4.0 is a new Material Design-based UI to enable a goal-oriented and help users avoid context-switching with Arcadia-driven hints and suggested actions and next steps, without the need for extra tabs and pop-ups. In addition, proactive alerting and scheduling features help drive next steps with dashboard alerts and email notifications based on conditional thresholds on real-time data. New visualization types such as network graph and dendrograms speed understanding of complex relationships.
Expanding both the access and use of all data sources across the organization for historical and real-time, the Arcadia Visual Designer adds a responsive visual designer for users to define workflows and customize applications to meet company brand standards. And, addressing security requirements, new extranet capabilities in Arcadia Enterprise 4.0 allow organizations to publish data applications externally, while securely provisioning and controlling the exact sets of data that are safely published.
For more details, go to www.arcadiadata.com.