Declarative vs imperative Articles
The Data Engineers Guide to Declarative vs Imperative for Data
Understand imperative and declarative approaches to data and database schema management through definitions, examples,...
What is Metadata and Can You Have Too Much of It?
Metadata facilitates improved decision-making and supports data quality, consistency, and governance across the entire...
FUTURE PERMISSION GRANTs: why they are very useful and why you shouldn't use them in a DataOps world
FUTURE GRANTS, ALL TABLES in the Snowflake Data Cloud have downsides including flexibility, auditability, potential...
PART 6: Imperative Approaches for Database Object Lifecycling
Part 6: Imperative Approaches for Database Object Lifecycling series covers different ways the imperative approach can...
PART 5: Declarative vs Imperative for Data
Declarative vs Imperative in the context of data and databases is discussed in the most typical example of creating a...
Q&A from the Masterclass on CICD and DataOps for Snowflake
Q&A from the Masterclass on CIC and DataOps for Snowflake
Part 4: Declarative vs Imperative: Introduction
The declarative vs imperative approach to managing databases: the difference is that an imperative approach relies on a...
PART 3: The Challenges of Repeatable and Idempotent Schema Management: Conclusions
Learn about using idempotence in DBMS to make changes to objects in a repeatable & predictable way, particularly when...
PART 2: The Challenges of Repeatable and Idempotent Schema Management: Idempotence in Snowflake
Check out PART 2 of The Challenges of Repeatable and Idempotent Schema Management: Idempotence in Snowflake blog series
PART 1: The Challenges of Repeatable and Idempotent Schema Management: Introduction
Part 1 discusses automating the lifecycle events (creation, alteration, deletion) of DB objects which is critical in...