Все публикации

0:07:19

Managing the 'End' of a Data Pipeline

0:10:45

How to Pick Tools for a Data Stack (considerations)

0:12:00

Getting Buy-In for Data & Analytics Projects (what to focus on)

0:11:49

Data Warehouse Security w/ 4 Simple Roles

0:09:41

How to Create a Data Modeling Pipeline (3 Layer Approach)

0:04:28

What is Data Mesh?

0:04:57

Data Architecture 101: The Lambda Strategy

0:05:17

Common Data Team Structures (Engineer vs Analyst vs Scientist)

0:04:42

Why Data Migrations Go Wrong (3 reasons)

0:08:27

What are 'intermediate' models in dbt?

0:10:21

dbt Environments vs Targets | What's the Difference?

0:03:51

Comparing 3 Types of Data Modeling (Normalized vs Star Schema vs Data Vault)

0:05:23

Data Automation (CI/CD) with a Real Life Example

0:03:29

3 Ways to Deploy Data Projects

0:07:56

The Importance of Virtual Environments for Data Engineers

0:10:34

How to Create a Virtual Machine (VM) on Google Cloud Platform (GCP)

0:07:10

Data Engineer | Employee vs Consultant (4 differences)

0:04:38

Modern vs Traditional Data Stacks (3 differences)

0:04:26

Why Your Data Team Needs Version Control

0:10:54

How to use dbt Snapshots to track data history

0:26:40

Getting Started with Prefect | Task Orchestration & Data Workflows

0:07:10

dbt Project Naming Conventions (recommended approach)

0:07:45

How to use dbt Operators to run dynamic commands

0:06:46

How to use Exposures in dbt