Consider a cloud deployed application storing and processing large volumes of data (Big-Data), e.g. in order to process historical data such as logs of credit card and bank transfer operations.

In this scenario, what properties can the application expect from typical cloud storage systems such as Google File System/HDFS and BigTable?

(select the option that best fits the question).

Question

Consider a cloud deployed application storing and processing large volumes of data (Big-Data), e.g. in order to process historical data such as logs of credit card and bank transfer operations. 
   
 In this scenario, what properties can the application expect from typical cloud storage systems such as Google File System/HDFS and BigTable? 
   
 (select the option that best fits the question).

Accepted Answer

BigTable allows sequential scanning of entities (rows) based on key-prefixes.

Answer

By default, GFS guarantees fault-tolerant persistence of the last block written.

Answer

Bigtable and GFS are very efficient in random-accessed read-dominated workloads.

Answer

No response (no penalty)

Answer

BigTable allows the programmer to specify in which specific tablet an entity (row) will be stored.

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