Data lifecycle management

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Tiffany Lewis

Security and Privacy Instructor

All the data

In 2022, the world had 92 zettabytes of data.
More data than ever before
What happens next?

data

¹ https://financesonline.com/how-much-data-is-created-every-day/

Data lifecycle management

Data lifecycle management (DLM) describes a process of managing data through its lifecycle. This includes when data is initially collected to when the data is deleted.

Data lifecycle manageement

Collection - Got to catch them all

Collection relates to:
- Creation
- Collection
Got to catch them all
Standardized approach
Establish rules to classify data

Pokeball and Pikachu

Storage

Different storage repositories for different purposes
Pokemon - where are they going to live?
- Professor Oak Lab
- Pokeball

Poke

Processing and usage

Actively being used or shared
Strict controls
- Protect
- Log
- Audit
- Altering
- Monitoring

Pokemon in use

Archival

Data archiving refers to the process of long-term data storage
Compliance, internal policy, or future potential usage
Storing Pokemon not actively in use

library

Deletion

Data deletion refers to the destruction or elimination of data sufficient to make them irretrievable
Techniques, tools, and methods vary depending on the scenario
Releasing Pokemon into the wild

Releasing butterfly into the wild

Challenges

Challenges include:
- Finding and classifying data
- Locating data
- Cross functional work
Goal Post Moves
- Regulations change
- System and application changes
- People movement
- Tribal knowledge across teams
Becoming a Pokemon master takes time

Pokemon Challenge

Let's practice!

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