Understanding: 6 | Knowledge Hub

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joseph mwangi

Mar 30

#Understanding Data Modelling in Power BI: Joins, Relationships, and Schemas Explained

#dataengineering #microsoft #sql #tutorial

6 min read

Glenn Gray

Mar 16

Building Apache Iceberg Lakehouse Storage with S3 Table Buckets

#apacheiceberg #aws #dataengineering #s3

6 min read

Lukas

Mar 16

RAG Is a Data Problem Before It’s a Prompt Problem

#dotnet #rag #llm #dataengineering

5 min read

Juliana Albertyn

Mar 30

My first Python project: Excel to SQL pipeline (feedback welcome)

#python #codequality #opensource #dataengineering

1 min read

Sandeep Bhatia

Mar 16

Snowflake Cost Optimization Starts With Workload Design, Not Auto-Suspend

#architecture #database #dataengineering #performance

5 min read

Baris Terzioglu

Mar 15

How Bruin turns a SELECT query into 9 different materialization strategies across 14 databases

#dataengineering #go #sql #programming

10 min read

Baris Terzioglu

Mar 15

Materialization strategies: how Bruin and dbt turn SELECT queries into tables

#dataengineering #sql #dbt #datapipeline

11 min read

Baris Terzioglu

Mar 15

Data quality testing: how Bruin and dbt take different paths to the same goal

#dataengineering #sql #dataquality #devops

7 min read

soy

Mar 28

SQLite, Go/Postgres, & Petabytes: Database Patterns for Builders

#database #sql #dataengineering

4 min read

Murad Aghamirzayev

Mar 15

Creating a Cross-platform Data Sandbox that makes Working with Data Easier and Faster

#dataengineering #python #datascience #sql

3 min read

Michael Tuszynski

Mar 28

The systems behind enterprise AI adoption success - IBM

#ai #architecture #dataengineering #systems

5 min read

Ranjan Majumdar

Mar 18

How to Build a Secure Azure Data Platform with Terraform & Data Factory (Step-by-Step)

#adf #terraform #azure #dataengineering

3 min read

Hannah Usmedynska

Mar 27

100 Spark Interview Questions for Data Engineer

#career #dataengineering #interview #resources

11 min read

Jakkie Koekemoer

Mar 13

Dynamic Data Masking: Use Cases, Limitations, and What to Do Instead

#data #dataengineering

9 min read

Willem van Heemstra for The Software's Journey

Mar 13

Scuderia Data Ep.3

#azure #adf #dataengineering #pipelines

2 min read

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DEV Community

# dataengineering

#Understanding Data Modelling in Power BI: Joins, Relationships, and Schemas Explained

Building Apache Iceberg Lakehouse Storage with S3 Table Buckets

RAG Is a Data Problem Before It’s a Prompt Problem

My first Python project: Excel to SQL pipeline (feedback welcome)

Snowflake Cost Optimization Starts With Workload Design, Not Auto-Suspend

How Bruin turns a SELECT query into 9 different materialization strategies across 14 databases

Materialization strategies: how Bruin and dbt turn SELECT queries into tables

Data quality testing: how Bruin and dbt take different paths to the same goal

SQLite, Go/Postgres, & Petabytes: Database Patterns for Builders

Creating a Cross-platform Data Sandbox that makes Working with Data Easier and Faster

The systems behind enterprise AI adoption success - IBM

How to Build a Secure Azure Data Platform with Terraform & Data Factory (Step-by-Step)

100 Spark Interview Questions for Data Engineer

Dynamic Data Masking: Use Cases, Limitations, and What to Do Instead

Scuderia Data Ep.3