Dataengineering

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Todd Fearn

Apr 21

I Built a Market Intelligence Agent That Operates a Data Platform Autonomously via MCP

#ai #agents #mcp #dataengineering

2 min read

Yasmim

Apr 21

Building a simple data pipeline with GCS and Databricks Autoloader

#cloud #dataengineering #python #tutorial

1 min read

beefed.ai

Apr 21

Implementing a Centralized Metrics Layer with dbt and a Semantic Layer

#dataengineering

9 min read

Brenda ..

Apr 21

Rebuilding the national narrative with AI and Docker

#dataengineering #python #opensource #docker

3 min read

Aviral Srivastava

Apr 21

Columnar Databases (ClickHouse/Snowflake)

#architecture #database #dataengineering #performance

8 min read

Manveer Chawla

Apr 20

ClickHouse Native JSON Support in 2026: A PR-by-PR Analysis

#data #dataengineering #clickhouse #json

24 min read

Naomi Jepkorir

Apr 21

How Linux is Used in Real-World Data Engineering

#dataengineering #linux #data #bash

3 min read

Abdelrahman Adnan

Apr 21

Part 12 - Superset Seeding and Dashboards 🎛️

#automation #dataengineering #python #tutorial

2 min read

Abdelrahman Adnan

Apr 21

Part 14 - Cloud Deployment and Lessons Learned ☁️

#aws #dataengineering #devops #terraform

2 min read

Abdelrahman Adnan

Apr 21

Part 7 - Spark Transform Local vs Cloud ⚡

#aws #cloud #dataengineering #tutorial

2 min read

Abdelrahman Adnan

Apr 21

Part 2 - Data Sources and Domain Model 📡

#api #dataengineering #python #tutorial

2 min read

Abdelrahman Adnan

Apr 21

Part 6 - API Client Design and Reliability 🔁

#api #architecture #dataengineering #python

2 min read

Abdelrahman Adnan

Apr 21

Part 9 - dbt Project Setup and Contracts 🧱

#database #dataengineering #postgres #tutorial

1 min read

Abdelrahman Adnan

Apr 21

Part 11 - Dimensions and Fact Table 📊

#database #dataengineering #sql #tutorial

2 min read

Abdelrahman Adnan

Apr 21

Part 5 - Ingestion DAG and Raw Storage 📥

#automation #dataengineering #python #tutorial

2 min read

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DEV Community

# dataengineering

I Built a Market Intelligence Agent That Operates a Data Platform Autonomously via MCP

Building a simple data pipeline with GCS and Databricks Autoloader

Implementing a Centralized Metrics Layer with dbt and a Semantic Layer

Rebuilding the national narrative with AI and Docker

Columnar Databases (ClickHouse/Snowflake)

ClickHouse Native JSON Support in 2026: A PR-by-PR Analysis

How Linux is Used in Real-World Data Engineering

Part 12 - Superset Seeding and Dashboards 🎛️

Part 14 - Cloud Deployment and Lessons Learned ☁️

Part 7 - Spark Transform Local vs Cloud ⚡

Part 2 - Data Sources and Domain Model 📡

Part 6 - API Client Design and Reliability 🔁

Part 9 - dbt Project Setup and Contracts 🧱

Part 11 - Dimensions and Fact Table 📊

Part 5 - Ingestion DAG and Raw Storage 📥