Computers And Technology High School

_____ has made it easier for businesses to justify capturing and storing a greater variety and volume of data.
a. The maturation of Big Data processing platforms
b. Declining data storage costs

Answers

Answer 1

Both options, a. The maturation of Big Data processing platforms and b. Declining data storage costs, have contributed to making it easier for businesses to justify capturing and storing a greater variety and volume of data.

The maturation of Big Data processing platforms, such as Apache Hadoop and Spark, has provided businesses with advanced tools and frameworks to efficiently process and analyze large volumes of data. These platforms enable businesses to extract valuable insights and derive actionable information from diverse data sources.Furthermore, declining data storage costs have made it economically feasible for businesses to store massive amounts of data. With advancements in storage technologies and the decreasing cost of storage devices, businesses can now affordably store and retain vast quantities of data for future analysis and decision-making.

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Related Questions

One of the sales managers has approached the development team to ask for some changes to one of the web applications that his team uses. He made some great suggestions, but the development team manager told him they can't just make those changes without going through the formalized process. Which of the following should the development manager ask the sales manager for?
a. Business justification b. ROI c. Change request d. CAB

Answers

The development manager should ask the sales manager for a change request.

A change request is a formal document that outlines the proposed changes to a web application or system, including the rationale behind them, potential impact, and required resources. It is important to follow a formalized process for implementing changes to ensure that all stakeholders are aware of the proposed modifications, potential risks are evaluated, and resources are allocated appropriately. This process helps maintain the stability, reliability, and consistency of the application. The change request will be reviewed by a Change Advisory Board (CAB), which is a group of experts responsible for assessing the feasibility, impact, and priority of proposed changes. They will evaluate the change request based on factors like business justification, which explains the reasons and benefits of implementing the change, and return on investment (ROI), which estimates the financial gain or loss resulting from the change. Once the CAB approves the change request, the development team can proceed with implementing the proposed changes in a controlled and organized manner.

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Traditional data analysis tools such as spreadsheets, and databases are rendered inadequate when the size of data to be analyzed increases exponentially (in the order of an Exabyte). Some of the reasons for this include the following, EXCEPT
A) It is impractical to have a RAM/Main Memory that is large enough to hold the data that needs to be analyzed.
B) It is impossible to have a bandwidth that is large enough to allow the large volume of data to be transferred.
C) Since the traditional methods of analyzing data perform sequential operations, it will take too many years to process data.
D) Analysis is not done is a distributed manner, so data is not stored across multiple computers.

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Traditional data analysis tools such as spreadsheets, and databases areD) Analysis is not done in a distributed manner, so data is not stored across multiple computers.

What is the Traditional data analysis tools

When confronted with an enormous quantity of information on the scale of an Exabyte, conventional  methods of data analysis, such as spreadsheets and databases, encounter substantial difficulties.

Hence, option D is erroneous as the analysis is not performed in a decentralized way, resulting in data not being stored on numerous computers.  When dealing with a vast amount of data in the Exabyte range, it is crucial to employ distributed computing strategies.

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A blogging Website allows users to post messages and to comment on other messages that have been posted. When a user posts a message, the message itself is considered data. In addition to the data, the site stores the following metadata.
The time the message was posted
The name of the user who posted the message
The names of any users who comment on the message and the times the comments were made
Which of the following questions could NOT be answered using only the data and metadata collected?

Answers

The data and metadata collected is not specified, so there is no way to determine which one. The data and metadata collected by the blogging website provide valuable information about the messages and comments posted by the users.

it is possible to answer various questions related to the content and activity on the site, such as: However, there may be some questions that cannot be answered solely based on the data and metadata collected. For example, if a user has deleted their message or comment, it would no longer be available in the data and metadata. Additionally, if a user has edited their message or comment, the original content may no longer be available in the metadata.

Therefore, it is important to consider the limitations of the data and metadata collected when attempting to answer questions about the content and activity on the site. It is impossible to determine which question could not be answered using only the data and metadata collected as it is not specified. However, the data and metadata collected by the blogging website provide valuable information about the messages and comments posted by the users, allowing users to answer questions related to the content and activity on the site. However, there may be limitations to the data and metadata collected, such as deleted messages or comments or edited messages or comments, which could affect the accuracy of the information provided. Therefore, it is important to consider the limitations of the data and metadata collected when attempting to answer questions about the content and activity on the site. a query regarding the content or subject of the messages or comments cannot be answered using only the data and metadata collected by the blogging website.

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what does amazon recommend for protecting data in transit when you have a concern of accidental information disclosure?

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When it comes to protecting data in transit on Amazon Web Services (AWS), there are several recommended options for preventing accidental information disclosure. One common approach is to use Transport Layer Security (TLS) encryption to secure the connection between the client and server. This encrypts the data as it travels between the two endpoints, ensuring that even if it is intercepted, it cannot be read by unauthorized parties.

Another option is to use Amazon Virtual Private Cloud (VPC), which allows you to create a private network within AWS and establish secure connections between resources. This ensures that all data traveling within the VPC is protected and cannot be intercepted by outside parties.

To protect data in transit on AWS and prevent accidental information disclosure, Amazon recommends using Transport Layer Security (TLS) encryption or Amazon Virtual Private Cloud (VPC). TLS encrypts data as it travels between endpoints, preventing unauthorized access to sensitive information. VPC creates a private network within AWS, ensuring that all data traveling within the VPC is protected and cannot be intercepted by outside parties. These methods provide an added layer of security to ensure that data is kept confidential and secure.

Amazon provides several options for protecting data in transit on AWS, including TLS encryption and VPC. These measures ensure that data is kept confidential and secure, preventing accidental information disclosure and unauthorized access to sensitive information. By implementing these security measures, businesses can maintain the integrity and confidentiality of their data, ensuring that it is protected at all times.

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