To store data that is no longer actively used

To protect data from unauthorized access

To improve data performance

To reduce data storage costs

Online archiving and offline archiving

Hot archiving and cold archiving

Primary archiving and secondary archiving

Active archiving and inactive archiving

Data retention is the process of storing data for a specific period of time, while data archiving is the process of storing data indefinitely.

Data retention is the process of storing data in its original format, while data archiving is the process of converting data into a different format.

Data retention is the process of storing data on a primary storage medium, while data archiving is the process of storing data on a secondary storage medium.

Data retention is the process of storing data that is actively used, while data archiving is the process of storing data that is no longer actively used.

Reduced storage costs

Improved data security

Enhanced data accessibility

All of the above

Data migration

Data format conversion

Data security

All of the above

Develop a data archiving policy

Choose the right data archiving technology

Implement a data archiving process

All of the above

To describe the data

To organize the data

To protect the data

All of the above

Legal retention policies

Regulatory retention policies

Business retention policies

All of the above

Increased risk of data loss

Increased risk of data breaches

Increased risk of legal liability

All of the above

Identify the data that needs to be retained

Determine the retention period for each type of data

Implement a data retention process

All of the above

Data archiving is the process of storing data for a long period of time, while data backup is the process of storing data for a short period of time.

Data archiving is the process of storing data on a secondary storage medium, while data backup is the process of storing data on a primary storage medium.

Data archiving is the process of storing data that is no longer actively used, while data backup is the process of storing data that is actively used.

Data archiving is the process of storing data in its original format, while data backup is the process of converting data into a different format.

AI can be used to automate the data archiving process.

AI can be used to identify the data that needs to be archived.

AI can be used to protect the data that is archived.

All of the above

The use of cloud-based data archiving

The use of AI and machine learning for data archiving

The use of blockchain for data archiving

All of the above

The volume of data

The variety of data

The velocity of data

All of the above

Use a scalable data archiving solution

Use a data archiving solution that supports a variety of data types

Use a data archiving solution that can handle the velocity of data

All of the above