ABDF offers several processing modes under one Framework encapsulating the complexity of the same from the user. Linear Execution mode, Hadoop, In-memory using Spark, Streaming with Spark & Storm, Spark over HDFS, GPGPU based Algorithms. ABDF, An All in One, Well Integrated Intelligent Analytic Framework, the One Stop Shop for your Analytic needs. Easy to Develop BI and Data Mining Pipelines through a built in GUI based Process Flow Mapper. Users can either switch ABDF onto an Auto Pilot mode or can choose the best among the different processing modes to analyze the data streams. An integrated Visualization Framework which can be used along with Process Flow Mapper to visualize the data. The whole idea of building ABDF was to make Data Mining more accessible to those spectrum of users outside the range of Data scientists. ABDF is intended to narrow the gap between regular BI and Data Mining world. Besides all a novice user will struggle to build am processing pipeline incorporating all the required elements to ensure that the output is reliable. ABDF have built in Algorithm Templates that can help build any mining process flow easily. One can then reshape the template to fine tune the results. A well integrated visualization engine will make life a lot easier for its users in visualizing the result sets.
For further details visit: www.abdf.in
Functional Diagram
AMRITA BIGDATA FRAMEWORK
Technologies Used
