Dataengineering Page 22

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Max Klein

Mar 2

Data Pipeline Architecture: From Messy CSVs to Clean Database

#python #dataengineering #tutorial #database

5 min read

Cover image for Building an Incremental Zoho Desk to BigQuery Pipeline: Lessons from the Trenches

Blessing Angus

Feb 28

Building an Incremental Zoho Desk to BigQuery Pipeline: Lessons from the Trenches

#dataengineering #zohodeskapi #bigquery #elt

7 min read

Niccolò Colombini

Apr 3

Shopify Automation: How I Managed an 80,000-Product Catalog with Python & Pandas

#automation #dataengineering #productivity #python

3 min read

Beck_Moulton

Mar 1

Stop Manually Entering Medical Data: How to Automate PDF Lab Reports with LayoutParser & OCR

#machinelearning #python #dataengineering #healthtech

3 min read

Aaron Wiegel

Mar 4

Synthetic Data and the Privacy Problem: Beyond Alice and Bob

#dataengineering #testing

10 min read

Philip Hern

Apr 3

how i use cursor and ai agents to write dbt tests and documentation

#dbt #cursor #ai #dataengineering

2 min read

Byron Hsieh

Mar 4

dbt + OpenLineage #1: Why dbt-ol Is a Post-Processor (Not a Plugin) — and Why It Matters

#dbt #openlineage #dataengineering #python

7 min read

Alberto Cardenas

Mar 1

PardoX 0.3.1: The GPU Awakening and the Conquest of the Universal Backend

#showdev #backend #dataengineering #performance

19 min read

Cover image for Feed Rescue: Converting Raw Ulta Scrapes into Google Merchant Center XML

Erika S. Adkins

Feb 28

Feed Rescue: Converting Raw Ulta Scrapes into Google Merchant Center XML

#webscraping #python #node #dataengineering

5 min read

Philip Hern

Apr 3

the future of data engineering workflows with ai

#dataengineering #ai #workflow #future

2 min read

Cover image for ETL Pipeline: The 6-Phase Pattern That Cuts Debugging From Hours to Minutes

Kunwar Jhamat

Mar 4

ETL Pipeline: The 6-Phase Pattern That Cuts Debugging From Hours to Minutes

#etl #dataengineering #programming #architecture

5 min read

Cover image for Understanding ETL Pipelines: The Philosophy Behind Reliable Data Integration

Kunwar Jhamat

Mar 4

Understanding ETL Pipelines: The Philosophy Behind Reliable Data Integration

#etl #dataengineering #programming #architecture

6 min read

Cover image for Data Modeling for Agriculture: Combining Cash Flow and Average Daily Gain (ADG) in the Same Database

Davi Domingos de Oliveira

Apr 3

Data Modeling for Agriculture: Combining Cash Flow and Average Daily Gain (ADG) in the Same Database

#architecture #data #database #dataengineering

7 min read

Sonia Bobrik

Feb 27

When Maps Behave Like Machines: Engineering Geospatial Systems That People Can Trust

#architecture #dataengineering #softwareengineering #systemdesign

5 min read

Cover image for How Spotify Uses Data to Build the Product 713 Million Users Actually Want

David Marcelo Petrocelli

Mar 3

How Spotify Uses Data to Build the Product 713 Million Users Actually Want

#architecture #microservices #dataengineering #spotify

12 min read

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Forem

# dataengineering

Data Pipeline Architecture: From Messy CSVs to Clean Database

Building an Incremental Zoho Desk to BigQuery Pipeline: Lessons from the Trenches

Shopify Automation: How I Managed an 80,000-Product Catalog with Python & Pandas

Stop Manually Entering Medical Data: How to Automate PDF Lab Reports with LayoutParser & OCR

Synthetic Data and the Privacy Problem: Beyond Alice and Bob

how i use cursor and ai agents to write dbt tests and documentation

dbt + OpenLineage #1: Why dbt-ol Is a Post-Processor (Not a Plugin) — and Why It Matters

PardoX 0.3.1: The GPU Awakening and the Conquest of the Universal Backend

Feed Rescue: Converting Raw Ulta Scrapes into Google Merchant Center XML

the future of data engineering workflows with ai

ETL Pipeline: The 6-Phase Pattern That Cuts Debugging From Hours to Minutes

Understanding ETL Pipelines: The Philosophy Behind Reliable Data Integration

Data Modeling for Agriculture: Combining Cash Flow and Average Daily Gain (ADG) in the Same Database

When Maps Behave Like Machines: Engineering Geospatial Systems That People Can Trust

How Spotify Uses Data to Build the Product 713 Million Users Actually Want