Hadoop

Question 1

hadoop: The first phase in a mapreduce program is the

Answer 1

map phase

Question 2

hadoop: The map job basically

Answer 2

splits the search for relevant data across multiple nodes, and then collects the relevant data back into one node.

Question 3

hadoop: Apache Spark is

Answer 3

Apache Spark is an open-source cluster computing framework that allows you to load data into a cluster’s memory and query it repeatedly, which is ideal for machine learning.

Question 4

hadoop: ETL stands for

Answer 4

Extraction, Transformation, and Loading

Question 5

Big Data: The three Vs that define big data are

Answer 5

velocity, variety, volume

Question 6

hadoop: The cluster is usually made up of

Answer 6

mid range rack mounted servers

Question 7

hadoop: Hive allows you to

Answer 7

use sql for the mapreduce instead of having to code

Question 8

hadoop: Impala is

Answer 8

a way to query data using sql without using mapreduce

Question 9

hadoop: sqoop is used to

Answer 9

move data from a relational database to hdfs

Question 10

spark: Spark is

Answer 10

much faster than mapreduce

Question 11

spark: RDD stands for

Answer 11

Resilient Distributed Dataset