Explore topic-wise InterviewSolutions in Current Affairs.

This section includes 7 InterviewSolutions, each offering curated multiple-choice questions to sharpen your Current Affairs knowledge and support exam preparation. Choose a topic below to get started.

1.

List Some Use Cases Where Spark Outperforms Hadoop In Processing.?

Answer»
  1. Sensor Data Processing –Apache Spark’s ‘In-memory computing’ works best here, as data is RETRIEVED and combined from different sources.
  2. Spark is preferred over Hadoop for real TIME querying of data
  3. Stream Processing – For processing logs and detecting frauds in live STREAMS for alerts, Apache Spark is the best SOLUTION.
Discussion
2.

What Is Shark?

Answer»

Most of the DATA users know only SQL and are not good at programming. Shark is a tool, developed for people who are from a database BACKGROUND - to access Scala MLib capabilities through HIVE like SQL interface. Shark tool helps data users run Hive on SPARK - OFFERING compatibility with Hive metastore, queries and data.

Most of the data users know only SQL and are not good at programming. Shark is a tool, developed for people who are from a database background - to access Scala MLib capabilities through Hive like SQL interface. Shark tool helps data users run Hive on Spark - offering compatibility with Hive metastore, queries and data.
Discussion