
Scriptly Helps Pharmacies Identify Trends in Real Time with Reveal
Starting today, Reveal users can connect directly to their Databricks environment and build real-time dashboards using our fully embedded analytics experience. Native Databricks Integration Databricks users can now embed real-time insights directly into their applications without extra steps or added complexity. As a cloud-based data platform built on Apache Spark and ML tools, Databricks powers […]
Starting today, Reveal users can connect directly to their Databricks environment and build real-time dashboards using our fully embedded analytics experience.
Databricks users can now embed real-time insights directly into their applications without extra steps or added complexity.
As a cloud-based data platform built on Apache Spark and ML tools, Databricks powers large-scale analytics. This new connector makes it easy to turn that data into live, in-app dashboards—fully integrated and ready for users.
Teams can now:
With Reveal, those insights are no longer siloed—they’re delivered natively inside the applications teams are building.
Also included in the 1.7.4 update:
Java HTTP Client: Enhanced error handling + log improvements
DSI.DataSource: Simplified setup—no manual config needed
S3 SessionToken Support: Improved AWS Athena compatibility
Bug Fixes + Performance: Ongoing speed + reliability improvements
For a complete list of enhancements, new capabilities, and bug fixes, be sure to check out the full Release Notes.
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