Specialized Big Data Team
Hadoop and Big Data Mastery Quiz
Test your knowledge of Hadoop and the Big Data ecosystem with our engaging quiz! From basic concepts to specific technologies, this quiz is designed for anyone looking to enhance their understanding of big data solutions.
What you will learn:
- Key differences between Hadoop and traditional data warehousing
- Understanding of technologies like Spark and Scala
- Real-world applications of big data solutions
In the simplest form, how would you define Hadoop?
An ecosystem for large amounts of data.
A cloud system that helps data from databases sync up to enterprise level applications
A coding technology that uncomplicates unstructured data.
It's a data language used to replicated unstructured data and organizes it in a way that can be used by various lines of business for reporting, analytics and other impactful business cases.
What's the difference between a traditional Data Warehouse and Hadoop?
One is cloud, one is not.
One is for large amounts of data, the other is not.
One provides more analytics and reporting while the other is basic level information,
There is no difference.
What is Spark?
Data visualization tool for Hadoop
Data processing and data analyzing tool
In-memory database within Hadoop Ecosystem
Coding/scripting language
What is Scala?
Programming language
Data measuring tool to help scale data to consumable amounts
Data visualization tool for Hadoop
Database for Hadoop
Define a cluster
A cluster is defined as a section of a database that has no structure or organization to it
A cluster is several algorithmic functions within the Scala coding language which helps replicate data
A cluster is not part of the Hadoop / Big Data ecosystem.
Combing several databases and data points into a single point
What is the difference between real-time streaming vs batch streaming?
One uses SQL while the other uses Spark
One you can track via traditional ISP Technologies while the other is only through a structured, computeless/cloud based protocol.
One tracks data as it comes in while the other tracks it periodically
One uses Spark, Hive, Scala technologies while the other uses traditional DW technologies such as SQL, PowerBI, Datastage, Tableau
Which of the following are examples of business cases that Big Data/Hadoop can solve? Select any and all that you feel apply.
Traffic Route planning and reduce wait time
To understand the patterns of natural disasters and climate change
To predict the interests of audiences for music, sports, TV shows, etc
To overcome national challenges such as unemployment, terrorism, energy resources exploration
What is the difference between MapReduce and Spark?
There is no difference as both as used for programming.
MapReduce is 100x faster than Spark
Spark is 100x faster than MapReduce
MapReduce is for Batch Processing only and Spark is for real-time only.
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