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Explain about trformations and actions in the context of rdds?
explain the concept of RDD (Resilient Distributed Dataset). Also, state how you can create RDDs in Apache Spark.
Is Apache Spark a good fit for Reinforcement learning?
Is it necessary to learn hadoop for spark?
Does spark require hdfs?
How is transformation on rdd different from action?
What is an "Accumulator"?
Explain how can apache spark be used alongside hadoop?
What is dataframe api?
How do I use spark with big data?
Explain first() operation in Apache Spark RDD?
Is apache spark an etl tool?
What are the features and characteristics of Apache Spark?
In a very huge text file, you want to just check if a particular keyword exists. How would you do this using Spark?
Can you explain spark core?
