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Kahan Data Solutions @UCrY1Ro4UXwMib9Qug3eJNWA@youtube.com

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Helping Data & Analytics Engineers build reliable modern arc


04:15
Fix Your Data Pipeline...From The Start
06:17
The "Key" To Building A Reliable Data Model
05:51
How Would You Model This Data? (Example)
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