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CSE 511 Midterm Exam With Complete Solutions Latest Update $13.99   Add to cart

Exam (elaborations)

CSE 511 Midterm Exam With Complete Solutions Latest Update

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  • Course
  • CSE 511
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  • CSE 511

CSE 511 Midterm Exam With Complete Solutions Latest Update...

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  • November 19, 2024
  • 14
  • 2024/2025
  • Exam (elaborations)
  • Questions & answers
  • CSE 511
  • CSE 511
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Easton
CSE 511 Midterm Exam With Complete
Solutions Latest Update


True or false, sources of dat are becoming larger and more diverse - ANSWER True,
Billions or even trillions of data sources



What is the goal of data processing? - ANSWER To extract data that is useful



Why is the volume of data that is available so large? - ANSWER Increasing number of
data sources (social media, wearable tech, sensors, cameras, etc), formats, and data
points



How much data may be generated in a day? - ANSWER A petabyte (1 million GB)



What is scalable data processing? - ANSWER Allows database processing systems to
cope with the volume, velocity, and variety aspects that big data brings into the system



What are the different types of data processing systems? - ANSWER Relational DBMS,
NoSQL Graph/Document Key Value Stores, and Hadoop/Spark



What are the characteristics of a Relational DBMS? - ANSWER Operational workload,
which presents entities and objects in the world using tables and relations between
tables.



What are the characteristics of a NoSQL Graph, Document, Key Value Stores? -
ANSWER Unstructured data, highly available systems. Runs queries that extract
knowledge from the data.



What are the characteristics of Hadoop/Spark? - ANSWER Not operational, analytics

, over massive scale data



What is a database? - ANSWER A very large, integrated collection of data that models
real world enterprises using entities and relationships between those entities



What are the three goals of a DBMS? - ANSWER To store, retrieve, and manage data



What are the advantages of a DBMS? ANSWER Data independnce (no need to know how
data is organized), Efficient data access (by indexes), data administration (one location
of data) concurrency control + crash recovery, data integrity + security, reduced app
development time (no need to care about scalability of database or performance of
database)



What is a data model - ANSWER collection of concepts for describing data. The
mathematical equation that defines a relationship.



What is a schema? - ANSWER A description of a particular collection of data in tables
using a given data model. Description of data using tables in the relational model



What are the three levels of abstraction? - ANSWER External Schema Views, Conceptual
Schema, and Physical Schema



What is the external schema (views)? - ANSWER Describe how the users view the data.
Can have multiple of these views on top of a conceptual schema.



What is the conceptual schema? - ANSWER Describes the logical structure of the
relation. That is to say the attributes that compose the database. Only one conceptual
schema per relation.



What is the physical schema? - ANSWER Describes the files and indexes used. How the
data is sorted, stored, and indexed.

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