Worksheetshpc9_finals
Total questions: 40
Worksheet time: 30mins
unstructured data includes quantitative data that is stored in an organized manner. It consists of numerical and text data. It is easy to analyze and process structured data. It is generally stored in a relational database and can be queried using Structured Query Language (SQL).
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true
false
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structured data includes qualitative data that lacks any predefined structure and can come in a variety of formats (images, mp3 files, wav files, etc.). Unstructured data is said to lack “structure”. It is stored in a non-relational database and can be queried using NoSQL.
true
false
refers to the amount of data that is being collected. The data could be structured or unstructured.
Volume
Velocity
Variety
Value
Veracity
refers to the rate at which data is coming in.
Volume
Velocity
Variety
Value
Veracity
refers to the different kinds of data (data types, formats, etc.) that is coming in for analysis.
Volume
Velocity
Variety
Value
Veracity
refers to the usefulness of the collected data.
Volume
Velocity
Variety
Value
Veracity
refers to the quality of data that is coming in from different sources.
Volume
Velocity
Variety
Value
Veracity
is a major field that has been revolutionized with the advent of Big Data. Companies are collecting more data about their customers and their preferences than ever.
Customer experience
Machine Learnin
Demand forecasting
is another field that has benefited greatly from the increasing popularity of Big Data. More data means we have larger datasets to train our ML models, and a more trained model (generally) results in a better performance.
Customer experience
Machine Learnin
Demand forecasting
has become more accurate with more and more data being collected about customer purchases. This helps companies build forecasting models, that help them forecast future demand, and scale production accordingly.
Customer experience
Machine Learnin
Demand forecasting
has become more accurate with more and more data being collected about customer purchases. This helps companies build forecasting models, that help them forecast future demand, and scale production accordingly.
Customer experience
Machine Learnin
Demand forecasting
- allows businesses to store their data on the internet with the help of a cloud service provider (like Amazon Web Services, Microsoft Azure, or Google Cloud Platform) who takes the responsibility of managing and storing the data.
(a)
Meaning of ETL?
(a)
- reduces the number of bits that the data needs, resulting in a reduction in space being consumed.
(a)
duplication is the process of making sure duplicate and unwanted data does not reside in our database.
(a)
duplication is the process of making sure duplicate and unwanted data does not reside in our database.
(a)
Managing datasets having terabytes of information can be a big challenge for companies. As datasets grow in size, storing them not only becomes a challenge but also becomes an expensive affair for companies.
(a)
is often prioritized quite low in the Big Data workflow, which can backfire at times. With such a large amount of data being collected, security challenges are bound to come up sooner or later.
(a)
-can reduce latency and hence boost network speed. In addition, processing data closer to the source of information, considerably lowers the distance it must travel.
(a)
- can also result in significant cost reductions due to lower bandwidth. Because so much data is now processed and stored in localized servers and devices, there is no need for most data to go to data centers.
(a)
-can save bandwidth capacity and prevent costly improvements to existing cloud storage features by storing fewer data in the cloud and processing more locally
(a)
-can save bandwidth capacity and prevent costly improvements to existing cloud storage features by storing fewer data in the cloud and processing more locally
(a)
-is transforming the way data is being handled, processed, and delivered from millions of devices around the world.
(a)
refers to technology that replaces or expands the physical world by the creation of 360 space, allowing users to look in any direction and see content.
(a)
-the use of computer modeling and simulation that enables a person to interact with an artificial three-dimensional (3-D) visual or other sensory environment.
(a)
- was coined in 1987 by Jaron Lanier, whose research and engineering contributed a number of products to the nascent VR industry.
(a)
is an interactive experience of a real-world environment where the objects that reside in the real world are enhanced by computer-generated perceptual information, sometimes across multiple sensory modalities, including visual and auditory.
(a)
- is the merging of real and virtual worlds to produce new environments and visualizations, where physical and digital objects co-exist and interact in real time.
(a)
●Virtual and augmented realities have the potential to capture attention and wow audiences and provoke active responses, making them an ideal marketing tool
true
false
The Internet of Things (IoT) is a network of physical objects that are fitted with sensors, software and other technologies.
true
false
IoT technology can be found in a growing number of places, including industry, enabling the concept of a smart home to become a reality, and even to assist the infrastructure of an entire smart city.
true
false
meaning of RFID?
(a)
meaning of IoT?
(a)
▰Ability to access information from anywhere at any time on any device;
Advantages of IoT
Disadvantages IoT
▰Transferring data packets over a connected network saving time and money; and
Advantages of IoT
Disadvantages IoT
▰Improved communication between connected electronic devices;
Advantages of IoT
Disadvantages IoT
▰Automating tasks helping to improve the quality of a business's services and reducing the need for human intervention.
Advantages of IoT
Disadvantages IoT
▰Enterprises may eventually have to deal with massive numbers -- maybe even millions -- of IoT devices, and collecting and managing the data from all those devices will be challenging.
Advantages of IoT
Disadvantages IoT
▰Since there's no international standard of compatibility for IoT, it's difficult for devices from different manufacturers to communicate with each other.
Advantages of IoT
Disadvantages IoT
IoT was not fully realized until around 2008-2009 it could be argued that it was conceived of by Weiser and Ashton, building on past work such as the (a)
