IoT Lecture 8 - Data and Analytics for IoT

Two important categorizations from an IoT perspective are

• structured or unstructured

• in motion or at rest

• Both a and b are correct

• int data and float data

Structured Data

• Text

• Images

• Speech

• Spreadsheets

Unstructured Data

• Spreadsheet

• Databases

• Video

• All are uncorrect

Select the correct answer

• Structured data is not easily formatted, stored, queried, and processed.

• IoT sensor data uses structured values, such as temperature, pressure, humidity, and so on, which are all sent in an unknown format.

• Structured data is well represented or organized, it can be handled by traditional relational database management system (RDBMS).

• Unstructured data means any data that fits neatly into a predefined data model.

Data at rest

• client/server exchanges

• Real-time streaming analysis tools in Hadoop ecosystem

• At Edge Level (data filtered and deleted or forwarded to fog node or

  the data center)

• Data saved to a hard drive, storage array, or USB drive

four types of data analysis results

• Descriptive

  Diagnostic

  Predictive

  Prescriptive

• Descriptive

  Database

  Predictive

  Prescriptive

• Descriptive

  Diagnostic

  Process

  Prescriptive

• Descriptive

  Diagnostic

  Predictive

  Product

Select the wrong statement: Machine Learning

• part of Artificial Intelligence (AI)

• Finding parked car from GPS location

• Simple if-then-else

• You do not need to record a set of predetermined sentences to help the tool match well-known words to the sounds you make when you say the words

Unsupervised Learning

• there is a “good” or “bad” answer known in advance

• a few parameters are computed

• big cumulated deviations in multiple dimensions are used to identify the exception

• It is the variation from a group behavior that allows the computer to learn that something is different

Neural Networks

• In NN the information goes through same algorithms

• mimic the way the human brain works

• The resulting value of one unit computation can not be used directly or fed into another unit for further processing to occur

• The great efficiency of neural networks is that each unit processes a complex test

Three most popular categories of database technologies are

• Massively parallel processing systems

  NoSQL

  Hadoop

• Massively parallel processing systems

  NoSQL

  SQL

• Massively parallel processing systems

  SQL

  Hadoop

• SQL

  NoSQL

  Hadoop