06:10

3 Strategy Killers for Data Teams

07:19

Managing the "End" of a Data Pipeline

09:55

The Missing Piece in Many Data Pipelines

10:45

How to Pick Tools for a Data Stack (considerations)

08:58

The Power of Naming in Data Projects (especially dbt)

12:00

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

06:46

You Don't Need to Learn Every Data Tool & Skill

11:34

How to Use Jinja w/ dbt Macros (3 Examples)

04:23

4 Reasons Why You Should STILL Learn SQL

11:49

Data Warehouse Security w/ 4 Simple Roles

09:41

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

04:28

What is Data Mesh?

10:51

How to Build Incremental Models | dbt tutorial

06:38

Modern Data Engineering Workflows, Explained

04:36

Data Architecture 101: Kappa (Real-Time Data)

06:51

How to Refresh Data Models Daily (for free)

11:00

How to Sync PostgreSQL Data w/ Airbyte

04:57

Data Architecture 101: The Lambda Strategy

04:36

How to Run Queries from the Terminal (dbt Show Command)

05:17

Common Data Team Structures (Engineer vs Analyst vs Scientist)

05:48

Data Architecture 101: The Modern Data Warehouse

04:42

Why Data Migrations Go Wrong (3 reasons)

08:27

What are "intermediate" models in dbt?

10:21

dbt Environments vs Targets | What's the Difference?

03:51

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

05:23

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

03:29

3 Ways to Deploy Data Projects

07:56

The Importance of Virtual Environments for Data Engineers

10:34

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

07:10

Data Engineer | Employee vs Consultant (4 differences)

04:38

Modern vs Traditional Data Stacks (3 differences)

04:26

Why Your Data Team Needs Version Control

10:54

How to use dbt Snapshots to track data history

26:40

Getting Started with Prefect | Task Orchestration & Data Workflows

07:10

dbt Project Naming Conventions (recommended approach)

07:45

How to use dbt Operators to run dynamic commands

06:46

How to use Exposures in dbt

04:08

The Hidden Cost of Open Source

10:21

Stand Out as a Data Engineer w/ Free Tools

16:34

Data Modeling Tutorial: Star Schema (aka Kimball Approach)

04:13

3 Time-Saving dbt Cloud Features (for free)

03:36

Snowflake vs BigQuery | What's Different?

03:54

The 3 Pillars of Data Engineering

06:37

Cloud Data Storage Temperatures, explained

09:07

Send Slack Messages from your Data Warehouse (no code)

05:14

Write better SQL with a Style Guide | 3 Things to Consider

06:19

Getting Started w/ PostgreSQL! | Download, Install & Add Data

13:19

Intro to dbt Cloud // Use Free for Life

09:30

Getting Started w/ BigQuery!

04:46

What do you actually do as a data engineer?

06:04

How to Enable SSO on Snowflake | Azure AD

07:08

dbt & Reverse ETL | Census Integration & CI Checks

16:04

Getting Started w/ Metabase | Open Source Data Visualization Tool

15:04

How to Sync Snowflake Users w/ Azure Active Directory

10:14

Data Modeling in the Modern Data Stack

11:16

How to use SnowSQL | Install, Config & Query

14:40

How to Host a Website on GitHub Pages | Step-By-Step

17:01

Getting Started w/ Airbyte! | Open Source Data Integration

05:12

Data Warehouse vs Data Lake | Explained (non-technical)

05:19

How to use managed repos on dbt Cloud