The answer for this question?

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

3 0

2 years ago

When you hear music, read a printout, or view a video, you are using a computer's

Alik [6]

Answer:

Output device.

Explanation:

An output device can be defined as a hardware device that typically receives processed data from the central processing unit (CPU) and converts these data into information that can be used by the end user of a computer system.

All of the output device of a computer are known as peripheral devices and they provide data (informations) to the end users in various formats such as video, audio, texts, images etc.

Since output devices are peripheral devices, they can be connected to the computer system wirelessly or through a wired-connection (cable).

Some examples of output devices are monitor, speakers, printer, projector etc.

Hence, when you hear music, read a printout, or view a video, you are using a computer's output device.

5 0

3 years ago

When an attacker presents a program or himself as someone else to obtain private information and pretends to be a legitimate web

timofeeve [1]

A spoofing attack. "<span>a situation in which one person or program successfully masquerades as another by falsifying data, thereby gaining an illegitimate advantage."</span>

8 0

3 years ago

With,user receive recommendations for items that are similar in type to items they already like.

Dennis_Churaev [7]

Answer:

Collaborative filtering

Explanation:

This is one out of five on the Recommender system apart from most popular items, Association and Market Basket based Analysis, Content-based analysis, self and hybrid analysis where we use both content-based and collaborative based approach together. And the Recommender system is a very important topic in Data science. For this question, remember that Collaborative filtering focuses on user and various other user's choices which are mathematically alike to concerned users, and which we find with the study of a large data set. Thus, we can predict from our above study that what are going to be likes of concerned users, and at the item level, whether that item will be liked by the concerned user or not. And this is prediction, and we use this approach in Machine learning these days. For this question, and as mentioned in question the requirements, answer is Collaborative filtering.

6 0

3 years ago

What happens when a basic text file without any HTML code is opened in a web browser?

Korvikt [17]

Answer:

The text will be shown without any formatting.

Explanation:

3 0

2 years ago

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