ISM Lecture 1 Quiz Flashcards
Fact
the confirmation/validation of an event or object (in the past we learned these from books)
Information Age
the present time, during which infinite quantities of facts are widely available to anyone
Internet of Things (IoT)
a world where interconnected Internet-enabled devices (“things”) have the ability to collect and share data without human intervention
Machine-to-Machine (M2M)
refers to devices that connect directly to other devices
data
raw facts that describe the characteristics of an event or object
Big data
a collection of large, complex datasets, which cannot be analyzed using traditional database methods and tools
4 Characteristics of Big Data
Variety, veracity, volume, velocity
Variety
different forms of structured and unstructured data in Big Data
Veracity
the uncertainty of data in Big Data
Volume
the scale of data in Big data
Velocity
the analysis of streaming data as it travels around the internet involving Big Data
Structured data
has a defined length, type, and format and includes numbers, dates, or strings. Typically stored in a traditional system
2 sources of Structured data
Machine-generated data
Human-generated data
Unstructured data
is not defined, does not follow a specified format, and typically free-form (examples are emails, tweets, and texts)
2 Sources of Unstructured data
Machine-generated unstructured data (satellite images)
Human-generated unstructured
2 Sources of Unstructured data
Machine-generated unstructured data (satellite images)
Human-generated unstructured data (texts and social media data)
snapshot
a view of data at a particular moment in time
information
data converted into a meaningful and useful context
variable
a data characteristic that stands for a value that changes or varies over time
Static report
created once, based on data that does not change
Dynamic Report
changes automatically during creation, includes updating daily stock market prices
