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1 year ago

What are examples of scanning devices?

Computers and Technology

1 answer:

eimsori [14]1 year ago

4 0

Here the examples of scanning devices :

Drum Scanner.
Handheld Scanner.
Flatbed Scanner.
Optical Character Recognition.
Magnetic Ink Character Recognition.
Image Scanner.

<h3>What is meant by scanning ?</h3>

A text is scanned quickly in order to find a specific piece of information. In daily life, scanning is regularly used for tasks like looking up a word in a dictionary or finding a friend's name in your phone's contacts list.
Scanners may basically be divided into three categories. These consist of network scanning, port scanning, and vulnerability scanning.
There are three different types of scanners: portable scanners, flatbed scanners, and drum scanners. While flatbed scanners are commonly used in offices and classrooms, drum scanners are mainly used in the publishing industry to print high-quality pictures.
Three processes make up the basic scanning process: scan, register, and detail.

Learn more about scanning refer to :

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Research 3 distributions that utilize the big data file systems approaches, and summarize the characteristics and provided funct

OlgaM077 [116]

Answer:

Explanation:

1: The three most popular data systems that make use of Big Data file systems approach are:

The HDFS (Hadoop Distributed File System), Apache Spark, and Quantcast File System(QFS).

HDFS is the most popular among these and it makes use of the MapReduce algorithm to perform the data management tasks. It can highly tolerate faults and can run on low-cost hardware. It was written in Java and it is an open-source software.

Apache Spark makes use of Resilient Distributed Data (RDD) protocol. It is much faster and lighter than the HDFS and it can be programmed using a variety of languages such as Java, Scala, Python, etc. Its main advantage over HDFS is that it is highly scalable.

While QFS was developed as an alternative to the HDFS and it is also highly fault-tolerant and with space efficient. It makes use of the Reed-Solomon Error Correction technique to perform the task of data management.

2: The NewSQL databases were developed as a solution to the scalability challenges of the monolithic SQL databases. They were designed to allow multiple nodes in the context of an SQL database without affecting the replication architecture. It worked really well during the starting years of the cloud technology. Some of the databases that make use of New SQL technology are Vitess, Citus, etc.

Vitess was developed as an automatic sharding solution to the MySQL. Every MySQL instance acts as a shard of the overall database and each of these instances uses standard MySQL master-slave replication to ensure higher availability.

While, Citus is a PostgreSQL equivalent of the Vitess. It ensures transparent sharding due to which it accounts for horizontal write scalability to PostgreSQL deployments.

NoSQL database technology was developed to provide a mechanism for the storage and retrieval of data that is modeled in a way other than the tabular relations used in the traditional databases (RDBMS). The most popular database that makes use of the NoSQL technology is MongoDB. It functions as a cross-platform document-oriented database. It is known for its ability to provide high availability of replica sets. A replica set is nothing but a bundle of two or more copies of the data

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3 years ago

Which of the following is the fastest processor

Nookie1986 [14]

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What happens? In word 2016 when the home ribbon tab is clicked on ?

RideAnS [48]

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3 years ago

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What is the most important trait of the first pilot project in the AI Transformation Playbook?

MissTica

Answer:

Succeed and show traction within 6-10 months.

Explanation:

Ai (Artificial Inteliigence), also known as machine intelligence, is a branch of computer science that is specialized in making smart machines that are capable of doing human tasks

AI Transformation Playbook is a guide to use AI in enterprises successfully, written by Co-founder of Google Brain, Andrew Ng. In his guide, he unveiled the steps that can be followed to successfully installing AI in enterprises, companies, etc.

The most important trait of the first pilot projects is that it succeeds and begins to show traction within 6-10 months.

In his guide, he summarised five steps to install AI in enterprises. The first step is to 'Execute pilot projects to gain momentum.'

The most important trait of beginning with AI projects is that it succeeds first before being most valuable projects. The success is important as it will help to achieve familiarity and will help other people of the company to invest in this project more.

This success begins to show tractions within 6-12 months of its success.

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3 years ago

What are the characteristics of the Outlook Rules Wizard? Check all that apply.

Marina CMI [18]

Answer:It is useful for staying organized.

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Users can move messages to folders.

It is divided into three template choices.

Explanation:

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2 years ago