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41 Terms
1
Internet of things
phenomenon of connecting the physical world to the internet, in contrast to the Internet of people that connects us humans to each other through technology.
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IoT is growing exponentially (3)
- Hardware is smaller, affordable, most powerful
-Availability of BI tools
-New an interesting use cases are emerging virtually every day \`
IoT technology infrastructure 4 major blocks -Hardware
physical devices, sensors, and actuators where data is produced and recorded
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IoT technology infrastructure 4 major blocks - Connectivity
Base station or hub that collects data from the sensor laden objects and sends that data to the cloud
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IoT technology infrastructure 4 major blocks - Software backend
Software backend manages connected networks and devices and provides data integration
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IoT technology infrastructure 4 major blocks - Application
Data is turned into meaningful info
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Radio frequency identification (RFID)
genetic technology that refers to the use of radio frequency waves to identify objects
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Radio frequency identification (RFID) - potential advantages
Prompted ....
prompted many companies to aggressively pursue this technology as a way to improve their supply chain and this reduce costs and increase sales
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How does RFID work? RFID system consists of (4)
-tag -interrogator -one or more antennae attached to the reader -computer
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Passive tags
receive energy from the electromagnetic field created by the interrogator and backscatter info only when it is requested
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Active tags
have a battery on board to energize them
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RFID - most common used data representation
Electronic product code (EPC)
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Application of RFID
supply chain management
Used by companies to improve either the efficiency or effectiveness of various existing processed by incremental process change
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Fog computing
address issue of the data that was produced by sensors is huge
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Fog computing extends ...
the cloud to be closer to the things that produce and act on IoT data
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Fog computing
Analyzing data close to the devices ...
minimizes latency
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Fog computing (2)
Conserves ... is crucial in ...
Conserves bandwidth
Is crucial in situations when data need to be analyzed in less than a second
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Managerial considerations in the IoT (3)
Organizational alignment
Interoperability challenges
Security
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Cloud computing
a model for enabling convenient, on demand network access to a shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort of service provide interaction
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Data as a service (3)
Any business process ...
Began with notion that data quality ...
Customer can move ...
Any business process can access data wherever it resides
Began with notion that data quality could happened in a centralized place, cleansing and enriching data and offering it to different systems
Customer can move quickly thanks to simplicity
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Software as a service (SaaS)
Allows consumers to use applications and software that run on distant computer in the cloud infrastructure
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Platform as a service (PaaS)
Companies can deploy their software and applications in the cloud so that their customers can use them
Companies dont have to manage resources
'Reduces the cost of maintaining underlying infrastructure
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Infrastructure as a service (IaaS)
Clients can run their application and have admin rights to use these resources but do not manage underlying infrastructure
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Virtualization - technology for cloud computing
creation of a virtual version of something like an operating system or server
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Virtualization - technology for cloud computing types
network virtualization storage virtualization server virtualization
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Virtualization - technology for cloud computing typesnetwork virtualization
splitting of available bandwidth into channels, which disguises complexity of the network by dividing it into manageable parts
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Visualization - technology for cloud computing (3) -storage virtualization
Pooling of physical storage from multiple network storage devices into a single storage devices that can be managed from a central console
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Virtualization - technology for cloud computing types server virtualization
Masking of physical servers from server users
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Cloud deployment models (3)
Private cloud public cloud hybrid cloud
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Cloud deployment models (4) - Private cloud
Can be called internal cloud or corporate cloud
Operated solely for a single org having a mission critical workload and security concerns
Provides the same benefits as a public cloud like service, scalability, changing computing resources on demand
Cost is expensive
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Cloud deployment models - public cloud
Managed by service provider
Main advantage of this public cloud model is saving time and money in setting up hardware and software
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Cloud deployment models - hybrid cloud
gives businesses great flexibility by moving workloads between private and public cloud
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Analytics as a service (AaaS) (6)
-Cloud based delivery model where various BI and data analytics tools can help companies in better decision making and get insights from their huge amount of data
-Covers all functionality aspects from collect data from physical devices to data visualization
-Provides an agile model for reporting and analytics to businesses so they can focus on what they do best
-AaaS combines aspects of cloud computing with Big data analytics and empowers data scientists and analysts by allowing them to access centrally managed info data sets
Explore info data sets more interactively and discover richer insights more rapidly
AaaS in the cloud has economies of scale
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Geospatial analytics
Consolidated view of the overall performance of a organization is usually represented through the visualization tools that provide actionable info
Employ visual maps that are geographically mapped and based on the traditional location data, usually grouped by postal codes
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Geographic information systems (GIS)
used to capture, store, analyze and manage data linked to a location using integrated sensor technologies, global positioning systems installed in smartphones, or through RFID deployments in the retail and healthcare industries
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Real time location intelligence
By analyzing and learning from these large scale patterns of movement, it is possible to identify distinct classes of behaviors in specific contexts. Approach allows a business to better understand its customer patterns and make more informed decisions about promotions.
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Privacy
right to be left alone and the right to be free from unreasonable personal intrusion
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Collecting info about individual - two effective tools
cookies and spyware
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New organizational units
Possibility of creating an analytics department, a BI department in which analytics play a major role
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Data scientist
use a combination of their business and technical skills to investigate Big Data, looking for ways to improve current business analytics practices and hence to improve decisions for new business opportunities