Hadoop ecosystem overview - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the main purpose of the Hadoop ecosystem?

The Hadoop ecosystem is designed to store, process, and analyze large sets of data across many computers in a simple and efficient way.

beginner

Name the core components of the Hadoop ecosystem.

The core components are HDFS (Hadoop Distributed File System) for storage, and MapReduce for processing data in parallel across clusters.

beginner

What is HDFS and why is it important?

HDFS is a file system that splits big data files into smaller blocks and stores them across many computers. It makes data storage reliable and fast.

intermediate

Explain the role of YARN in the Hadoop ecosystem.

YARN manages and schedules resources in the cluster, allowing multiple applications to run and share resources efficiently.

intermediate

What are some popular tools in the Hadoop ecosystem besides HDFS and MapReduce?

Popular tools include Hive (for SQL-like queries), Pig (for scripting data flows), HBase (NoSQL database), and Spark (fast data processing).

Which Hadoop component is responsible for storing data across multiple machines?

A Hive

B MapReduce

C YARN

D HDFS

HDFS stores data by splitting it into blocks and distributing across machines.

What does MapReduce do in the Hadoop ecosystem?

A Manages cluster resources

B Processes data in parallel

C Stores data files

D Runs SQL queries

MapReduce processes large data sets by dividing tasks across many computers.

Which tool in Hadoop allows you to write SQL-like queries on big data?

A Hive

B HBase

C Pig

D Spark

Hive provides a SQL-like interface to query data stored in Hadoop.

What is the role of YARN in Hadoop?

A Resource management

B Data storage

C Data processing

D Data visualization

YARN manages and schedules resources for running applications in the cluster.

Which Hadoop component is a NoSQL database?

A Pig

B Hive

C HBase

D MapReduce

HBase is a NoSQL database built on top of Hadoop for fast random access to big data.

Describe the main components of the Hadoop ecosystem and their roles.

Think about how data is stored, processed, and managed in Hadoop.

Explain how Hadoop handles big data storage and processing in a simple way.

Imagine sharing a big task among many friends to finish faster.