When you are developing or modernising a
#datamodeling practice inside a large organisation, you will quickly find that the consistency and understandability of the data models - across a wide variety of different
#sql,
#nosql and other file based (
#json,
#openapi,
#avro,
#parquet, etc) data structures - is absolutely key. Without it, there is no way you can expain the significance of these models to your
#subjectmatterexperts,
#governance,
#developer and/or
#devops stakeholders.
That's why the
@hackolade Studio has some great functionalities to help with this:
1. you can implement
#namingconventions across your data models, so that all terms are consistently used across systems
2. you can implement
#modelverification across the data models, checking the data models against a number of different rules.
Both these functionalities are super cool and interesting, and we have just released new
#community #tutorials to help you understand them better: see
* this tutorial (
community.hackolade.com/slid…) for the Naming Conventions
* this tutorial (
community.hackolade.com/slid…) for the Model Verification
functionality.
We hope this will prove to be useful for you, and recommend that you try it out - for free - from
hackolade.com/download.html ...