Explanation:MLlib implements many common machine learning and statistical algorithms to simplify large scale machine learning pipelines. 8. ________ is a distributed graph processing framework on top of Spark.
A. MLlib
B. Spark Streaming
C. GraphX
D. All of the mentioned
Answer:A
Explanation:MLlib implements many common machine learning and statistical algorithms to simplify large scale machine learning pipelines. 8. ________ is a distributed graph processing framework on top of Spark.
A. MLlib B. Spark Streaming C. GraphX D. All of the mentioned
Explanation:GraphX started initially as a research project at UC Berkeley AMPLab and Databricks, and was later donated to the Spark project. 9. GraphX provides an API for expressing graph computation that can model the __________ abstraction.