TALK TRACK
Hortonworks DataFlow is powered by Apache NiFI, Kafka, and Stor) – all key components of any streaming data architecture.
MiNiFi/NiFi : dynamic, configurable data pipelines
Kafka to adapt to differing rates of data creation and delivery
Storm for real-time streaming analytics to create immediate insights at a massive scale.
Only Hortonworks offers all of this as part of a Connected Data Platform that optimizes for delivery into HDP (HDFS, Hive, Spark, Hbase, etc…)
There are scenarios where NiFI will provide all that you you need, but you will notice the orange and blue horizontal triangles provide a continium of capability from edge to core, that indicates varying degrees of need for the different products.
Focus on predictive analytics case – use the uptake/cat/etc.. Case but generified.
Introduce the architecture of NiFi, describe major system components, and describe the single node and clustering models.
For each component describe its available (and potential)deployment models (relate it to Hadoop).
Focus on the two deployment models (single node & cluster) roughly think of this as ‘edge’ vs ‘data center’