What is life cycle data management explain with suitable example

What is data lifecycle management? Data lifecycle management (DLM) is an approach to managing data throughout its lifecycle, from data entry to data destruction. Data is separated into phases based on different criteria, and it moves through these stages as it completes different tasks or meets certain requirements.

What is an example of data lifecycle?

Here's one example: Generation or capture: In this phase, data comes into an organization, usually through data entry, acquisition from an external source or signal reception, such as transmitted sensor data. Maintenance: In this phase, data is processed prior to its use.

What are the 5 stages of data life cycle?

Data Creation\n\n Data Acquisition: acquiring already existing data which has been produced outside the organisation. Data Entry: manual entry of new data by personnel within the organisation. Data Capture: capture of data generated by devices used in various processes in the organisation.

What are the six steps in the data life cycle management?

Data Lifecycle Management Stages. To understand DLM, it's necessary to know the phases in the data lifecycle. While there is no industry standard for enterprise DLM, most experts agree that the data lifecycle includes these six stages: creation, storage, use, sharing, archiving, and destruction.

What is data life cycle explain all the phases in big data?

The data analytics lifecycle is a circular process that consists of six basic stages that define how information is created, gathered, processed, used, and analyzed for business goals.