(a) In your own words, explain any two desired properties of the Big Data systems. Provide reason why they must be satisfied by a Big Data system.

(b) Apache Spark Streaming allows you to apply transformations over a sliding window of data. Outline any two examples where youll use Spark Streamings windowed computations. What specific operation(s) will you use to implement the outlined examples?

(c) Apache Cassandra offers a feature know as eventual or tuneable consistency that lets the users decide how strong they want a transactions consistency to be. Explain in your own words, how are the transactions in Cassandra different from the RDBMS transactions?