Key Points
- Goals - get the right data, with the right quality in the right place for analytics and other applications
References
| Reference_description_with_linked_URLs____________________________ | Notes______________________________________________________________ |
|---|---|
https://drive.google.com/open?id=1YemwxzfSGxJZ1_-IYmSzK7jC8srjGbpJ | data-mgt-models-4-use-cases-ebook-Paxata Ebook - The 4 Data Prep Styles - Picking the Right One.pdf |
Manager Data Analytics JOBD shows the domains covered pdf | well defined data mgt services role ** |
Key Concepts
Potential Value Opportunities
Where the hell is my data?
an search, inventory and identity problem
automated data catalogs of sources
automated subscribeable data events
Who accessed my data?
Who should see my data?
Who can see my data?
Who did see my data?
What the hell happened to my data?
a GRC issue
Data Message Producers, Listeners, Consumers
a Data Message is an instance of Data Message Class
a Data Message instance has a guid id
a Data Message can composed from other Data Message instances
a Data Message has a life cycle: created > < repeat > > available > consumed > processed
a Data Message has a Data Message History
a Data Message has a Data Message Type or a default handler
a Data Message Type has a digital twin
DMTT shows what happened to that data message
What is my data telling me?
a semantic value problem - is it useful? how? why?
Potential Challenges
Candidate Solutions
Step-by-step guide for Example
sample code block