HADOOP

Test Your Hadoop Knowledge!

Are you ready to delve into the world of Hadoop? This quiz will challenge your understanding of one of the most essential frameworks in big data technology. Whether you're a seasoned data engineer or just starting to learn about Hadoop, this quiz is designed to enhance your knowledge and provide insights into its functionalities.

Understand Hadoop's origins and purpose
Explore its key components and related tools
Discover common misconceptions about Hadoop

8 Questions2 MinutesCreated by LearningElephant321

What was Hadoop named after?

Creator Doug Cutting's favorite circus act

Cutting's high school rock band

The toy elephant of Cutting's son

A sound Cutting's laptop made during Hadoop's development

All of the following accurately describe Hadoop, EXCEPT:

Open source

Real-time

Java-based

Distributed computing approach

True or false? Due to Hadoop's ability to manage unstructured and semi-structured data and because of its scale-out support for handling ever-growing quantities of data, many experts view it as a replacement for the enterprise data warehouse.

True

False

Hadoop is a framework that works with a variety of related tools. Common cohorts include:

MapReduce, Hive and HBase

MapReduce, MySQL and Google Apps

MapReduce, Hummer and Iguana

MapReduce, Heron and Trumpet

True or false? Hadoop can be used to create distributed clusters, based on commodity servers, that provide low-cost processing and storage for unstructured data, log files and other forms of big data.

True

False

According to analysts, for what can traditional IT systems provide a foundation when they're integrated with big data technologies like Hadoop?

Big data management and data mining

Data warehousing and business intelligence

Management of Hadoop clusters

Collecting and storing unstructured data

As companies move past the experimental phase with Hadoop, many cite the need for additional capabilities, including:

Improved data storage and information retrieval

Improved extract, transform and load features for data integration

Improved data warehousing functionality

Improved security, workload management and SQL support

True or false? MapReduce can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of unstructured data.

True

False

HADOOP

Test Your Hadoop Knowledge!

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