TBDF 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. TBDF, 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 TBDF 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 TBDF was to make Data Mining more accessible to those spectrum of
users outside the range of Data scientists. TBDF 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. TBDF 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.