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3 years ago

Write a short note on attributes in HTML. If you answer this i will mark you as BRAINLIST

Computers and Technology

1 answer:

Hunter-Best [27]3 years ago

4 0

Answer:

Explanation:

HTML attributes are a modifier of an HTML element type. An attribute either modifies the default functionality of an element type or provides functionality to certain element types unable to function correctly without them. In HTML syntax, an attribute is added to an HTML start tag.

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How many packets does your computer send/receive in a single mouse click when you visit a website?

sashaice [31]

There is no definitive answer to this and it really depends on the website - you could get 1,000 or more.

8 0

3 years ago

Can you show me how to code this is GDBonline? explaining each statement with notes//

MAVERICK [17]

Answer:

Create two classes, PlayingCard and Main, as depicted in the attachments.

Explanation:

The getters/setters are not actually used in this code, but creating them is pretty standard. Although, you could argue that a PlayingCard object should never change value/suit, and is what it is as long as it exists. Such objects would be called "immutable".

7 0

2 years ago

The most efficient tables in a relational database in terms of storage space have no redundant data and very few null values bec

Nastasia [14]

Answer:

The best answer is "False

Explanation:

relational database uses a structure that allows us to identify and access data in relation to another piece organized into tables in the database.

Clustering similar records together is one way of reducing access time.

4 0

4 years ago

Arrange these steps of creating a presentation in the correct order. (notice that the given order is incorrect other than the ba

DedPeter [7]

Answer:

1) select the template option from the presentation wizard

2) select the background of your slideshow

3) assign animation to your slide

4) click create presentation

Explanation:

not gonna lie, this was very confusing

hope it helps

3 0

3 years ago

The volumes of data collected by contemporary organizations are so huge that they are beyond the ability of typical DBMS to capt

lys-0071 [83]

Answer:

Some of the new technologies developed to handle the big data are as follows:

1. In-memory Databases

2. Blockchain

3. NoSQL Databases

4. Edge Computing

5. Streaming Analytics.

6. Artificial Intelligence

Explanation:

Some of the new technologies developed to handle the big data are explained as follows:

1. In-memory Databases: This allows for rapid and easy access to data and analytics, which can be used to inform a variety of business choices. In-memory computing provides the information required to improve marketing, finances, and operations efficiency.

2. Blockchain: Blockchain is the distributed database technology that underpins the Bitcoin digital currency, and it's a darling among forward-thinking analysts and venture capitalists. The distinctive feature of a blockchain database is that data can't be erased or changed after it's been written. Furthermore, it is extremely secure, making it a perfect solution for sensitive industries such as retail, insurance, health care, banking, and among others.

3. NoSQL Databases: NoSQL databases are used to store unstructured data and offer quick performance. This implies it can handle a wide range of data formats in high volumes while remaining flexible. MongoDB, Redis, and Cassandra are examples of NoSQL databases.

4. Edge Computing: Edge computing systems evaluate data very near to where it was originated — at the network's edge — rather than sending it to a centralized server for analysis. An edge-computing system has the advantage of minimizing the quantity of data that must be transferred over the network, therefore lowering network traffic and expenses.

5. Streaming Analytics: By analyzing data as it is created, Streaming Analytics allows for faster and faster access to insights. Streaming Analytics can also take data from a variety of sources, evaluate it, and offer insights almost instantly.

6. Artificial Intelligence: Artificial intelligence has the ability to transform data analytics by learning (from previous analytic activities) and improving the speed and accuracy of outputs over time. Artificial intelligence has the ability to make accurate future predictions based on current events with vast amounts of data to draw from, as well as analytic results from previous inquiries.

8 0

3 years ago