CSE 446 Unit 6
What are the three data types? - ANS-structured data - tables of data in traditional relational
databases
Semi-structured- XML files stored in XML databases
Unstructured data- data that are not structured or semi-structured, mainly streamed data like
images, photos, or video files
What is poly structured data? - ANS-structured, semi-structured, and unstructured data
What are the challenges of big data systems? - ANS-Poly structured data, volume, processing,
compromise
what is processing? - ANS-adequate capacity and algorithms to extract information in adequate
time
what is compromise? - ANS-consistency, accuracy, and response time to long and short term
storage
What are the aspects of Big Data systems? - ANS-Many V's:
value(center)
volume
velocity - real time response
volatility - data can disappear/ be discarded
**variety - different sources of data
variability - different data structures
veracity - different accuracy
What are the 4 domains of study on big data? - ANS-1. Data modeling, Processing, Analytics -
specifically developed for modeling, processing, and analyzing data in specific applications
2. Data Collection - humans and devices
3. Data App Integration
4. Data Store Management - organizing data and facilities
Infrastructure and facilities cover all these domains
Infrastructure - parallel computing, cloud computing, storage, and database facilities
What are the sources and collection mechanisms? - ANS-Human, data collection, IoT devices
Why do companies give away free hardware? - ANS-Free data collection they can use for
various things
What are the three data types? - ANS-structured data - tables of data in traditional relational
databases
Semi-structured- XML files stored in XML databases
Unstructured data- data that are not structured or semi-structured, mainly streamed data like
images, photos, or video files
What is poly structured data? - ANS-structured, semi-structured, and unstructured data
What are the challenges of big data systems? - ANS-Poly structured data, volume, processing,
compromise
what is processing? - ANS-adequate capacity and algorithms to extract information in adequate
time
what is compromise? - ANS-consistency, accuracy, and response time to long and short term
storage
What are the aspects of Big Data systems? - ANS-Many V's:
value(center)
volume
velocity - real time response
volatility - data can disappear/ be discarded
**variety - different sources of data
variability - different data structures
veracity - different accuracy
What are the 4 domains of study on big data? - ANS-1. Data modeling, Processing, Analytics -
specifically developed for modeling, processing, and analyzing data in specific applications
2. Data Collection - humans and devices
3. Data App Integration
4. Data Store Management - organizing data and facilities
Infrastructure and facilities cover all these domains
Infrastructure - parallel computing, cloud computing, storage, and database facilities
What are the sources and collection mechanisms? - ANS-Human, data collection, IoT devices
Why do companies give away free hardware? - ANS-Free data collection they can use for
various things
