IoT Data Storage and Event Handling

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10 Questions

What is the primary purpose of data aggregation, adaptation, and enrichment at the adaptation layer?

To prepare data for communication to the Internet

Data must be validated after storing.

False

What are the three categories for storing valid, useful, and relevant data?

Data alone, data as well as results of processing, and only the results of data analytics

Data from large number of devices and sources categorizes into a fourth category called ____________.

Big data

What is the purpose of assigning an ID to each event generated by a device?

To track and manage the event

Logic 1 refers to an event generated and acted upon.

False

What is the purpose of data categorisation for storage?

To determine the type of data to be stored and how it will be used

Data is stored in _______________________ at a server or in a data warehouse or on a Cloud.

databases

Match the following data storage categories with their descriptions:

Data alone = Needs to be repeatedly processed, referenced or audited in future Data as well as results of processing = Needs processing only once, and the results are used at a later time Only the results of data analytics = Online, real-time or streaming data need to be processed

What is the purpose of controlling the frequency of acquiring or cyclically scheduling the set of devices in industrial systems?

To prevent data overload

Study Notes

Software Components and Events

  • Software components assemble events, which include logic value, event ID, and device ID, and add a date-time stamp.
  • Events from IoT devices and logic flows are assembled using software.

Data Store

  • A data store is a repository of a set of objects that integrate into the store.
  • Features of a data store:
    • Objects are modeled using classes defined by database schemas.
    • Can be distributed over multiple nodes.
    • May consist of multiple schemas or data in only one scheme.
  • Examples of data stores:
    • Database
    • Relational database
    • Flat file
    • Spreadsheet
    • Mail server
    • Web server
    • Directory services
    • VMware

Data Centre Management

  • A data centre is a facility with multiple banks of computers, servers, and high-speed network and Internet connectivity.
  • Features of a data centre:
    • Provides data security and protection using advanced tools.
    • Offers full data backups and data recovery.
    • Has redundant data communication connections and full system power and electricity supply backups.
    • Meant for data storage, data security, and protection.
  • Large industrial units, banks, railways, and airlines use data centre services.
  • Data centre managers are responsible for technical and IT issues, operations, data security, data quality control, and network quality control.

Server Management

  • Server management involves managing services, setup, and maintenance of systems associated with the server.
  • Key aspects of server management:
    • Short reaction times when the system or network is down.
    • High security standards through routine maintenance and updates.
    • Optimized performance and monitoring of critical services.
    • Security of systems and protection of data, files, and databases.
    • Strict documentation and audit of all activities.

Spatial Storage

  • Spatial storage is optimized for storing and querying spatial data.
  • Spatial data refers to data that represents objects defined in a geometric space.
  • Examples of spatial data:
    • Points
    • Lines
    • Polygons
  • Applications of spatial storage:
    • Tracking or inventory control
    • Digital maps for parking slots

Data Categorization for Storage

  • Data can be categorized into three categories for storage:
    • Data alone (for repeated processing, referencing, or auditing)
    • Data and results of processing (for quick visualization and reports generation)
    • Only the results of data analytics (for storage of processed data)
  • A fourth category, Big Data, is used for storing large amounts of data from multiple devices and sources.

Assembly Software for Events

  • A device can generate events, which are assigned an ID and a logic value.
  • Logic values:
    • Logic 1: An event generated but not yet acted upon.
    • Logic 0: An event generated and acted upon, or not yet generated.

This quiz covers the concepts of event handling and data storage in IoT applications, including data repositories and database schemas.

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