Oracle Big Data Appliance supports Hortonworks and Cloudera Hadoop distributions, enhances data processing with Spark on YARN, and offers robust security features. Users can build reports without technical knowledge through a drag-and-drop interface, utilizing predefined Subject Areas. It supports over 80 languages for language processing and efficiently handles Spark in-memory tasks, reducing processing time significantly. Deployment is easy, accommodating large groups of analysts securely.
- "Because Big Data Appliance allows me to have a single source of truth, it means I have clean data that can be monetized and leveraged to gain more insights with real-time reports from the dashboard."
- "This is a comprehensive solution that is easy to deploy."
- "The best thing about the product is that the end-user can build the reports by themselves without really knowing anything about databases."
Oracle Big Data Appliance could enhance data visualization and ease the embedding of dashboards into applications. Simplification for average users is suggested, alongside innovation in AI and machine learning beyond Cloudera reliance. Consistency in technology stack and enabling partner access is important as deployment complexity in version 12c poses challenges. A capability to show results on websites is also desired.
- "From a technical perspective, Big Data Appliance could be improved with more innovation in the AI and machine-learning parts instead of relying on Cloudera."
- "The product should be simplified for the average user."
- "It seems like the deployment of repositories has become more difficult in later versions of the product rather than easier."
