Answer:
Walmart has caught my attention many times, and definitely when I was reading a case study on it recently. The data that they have collected is from all over the world, and probably the most well planned as it originates from some very high level and good analytics, awesome queries and various other heterogeneous sources. And they have a very unique way of using this data. Being an Engineer however myself, I have studied Data warehousing and Data mining in detail as well as Machine learning. And Walmart first collects the data using Data warehousing, and then it cleans it using the statistics, artificial intelligence, machine learning and statistics, and finally makes a model using the machine learning. They call it all together Data science, and the collected data is being termed as big data, and it has all typos of data which includes images, text, video, sound, animations, and all. Apart from Walmart, you can think of all the social media sites, e-commerce sites, and a lot more. All are using the data warehousing, data mining and Machine learning all together.
Explanation:
The answer is self explanatory.
Answer: Application layer
Explanation: Application layer is the level in the OSI model which carries out the function of the abstraction in the network.The abstraction works by maintaining the interface between application and network.
It helps in the transferring of the information and data as well using the protocols. So,if any time out message alert is received by clicking on the link then the server condition is usually busy and thus cannot respond. In this case application layer is responsible for the problem.
Answer:
Nonverbal communication is the transfer of information through body language, facial expressions, gestures, created space and more.
Explanation:
For example, smiling when you meet someone conveys friendliness, acceptance and openness. Everyone uses nonverbal communication all the time whether they know it or not.
Answer:
When the driver is <em>reversing the car</em>
Explanation:
The Rear Cross Traffic Alert (RCTA) is Nissan's <em>risk of collision detector</em> that warns drivers if one or more cars are approaching the rear of your car when backing up from a parking space.
Sensors around the back of the vehicle identify vehicles drawing nearer from the either way. A notice tone and glimmering light will appear and alert the driver to stop.
