AWS Certified Data Analytics Specialty 2021 – Hands-On - Pig on EMR

The video tutorial explains Pig, a component of the Hadoop ecosystem, as an alternative to MapReduce. Pig uses a scripting language called Pig Latin, which simplifies the process of writing map and reduce steps with SQL-like syntax. Although Pig is an older technology, it remains relevant and is extensible with user-defined functions. The tutorial also covers Pig's integration with AWS, highlighting its ability to query data on S3 and load external scripts from Amazon S3. Overall, Pig provides a high-level abstraction for distributed data analysis.

What is Pig Latin primarily used for in the Hadoop ecosystem?

• To manage Hadoop clusters

• To replace HDFS

• To write Java code for MapReduce

• To provide a SQL-like scripting language for MapReduce

Which of the following is a feature of Pig that allows for customization?

• User-defined functions

• Built-in functions

• Static queries

• Predefined scripts

On which platforms can Pig run in the Hadoop ecosystem?

• Only on HDFS

• On MapReduce or Tez

• Only on YARN

• Only on Amazon S3

How does Pig integrate with Amazon EMR?

• It is not compatible with Amazon EMR

• It cannot load external scripts

• It can query data on S3 through EMRFS

• It can only process data stored on HDFS

What is the primary advantage of using Pig over traditional MapReduce coding?

• It requires no learning curve

• It provides a higher-level scripting language

• It is faster than MapReduce

• It is a newer technology