Column-level lineage is now available in Recce 0.57

Add it to your dbt data validation workflow:

1. Lineage Diff - Focus on impacted models
2. Breaking Change Analysis - Eliminate irrelevant changes
3. Column-Level Lineage - Track column evolution

Have you submitted your article for the #InfoQ Annual Article Writing Competition yet?

Don’t miss your chance to win a #FreeTicket to top industry conferences like QCon & InfoQ Dev Summit—the perfect opportunity to learn, network, and grow!

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Join us at #QConLondon, #QConSanFrancisco, or #InfoQDevSummit!

Identify Numpy Universal Functions! #pythonprogramming #dataengineering #softwareengineering #python #datascience #numypy #arrays #machinelearning #dataanalytics #coding

Numpy Vector vs Loop on Array Speed #pythonprogramming #dataengineering #softwareengineering #python #datascience #numypy #arrays #machinelearning #dataanalytics #coding #dataanalysis

Column-level lineage comparison:

- dbt Power User (VSCode)
- dbt Cloud
- SQLMesh

There are actually a lot of interesting differences.

See how they stack up:

https://medium.com/inthepipeline/why-column-level-lineage-matters-for-dbt-comparing-the-options-b749be3ed962

Submissions are officially open for #InfoQ's annual article writing competition!

Top authors win #FreeTickets to industry-leading conferences like QCon & InfoQ Dev Summit – the perfect chance to learn, network, and grow!

Get all the details and submit your entry here: https://bit.ly/43kPTgz

#QConLondon #QConSanFrancisco #InfoQDevSummit

Numpy Where Function Basics #dataengineering #softwareengineering #pythonprogramming #dataanalytics #datascience #python #arrays #numypy #coding

Converting Array 1D to 2D #dataanalytics #datascience #dataengineering #arrays #pythonprogramming #softwareengineering #python #coding #numypy

What is dot Operation in Python#datascience #dataengineering #softwareengineering #dataanalytics #numypy #python #arrays #coding #pythonprogramming #vscode

Scalar Operation on a Numpy Array in Python#datascience #python #dataengineering #numypy #dataanalytics #softwareengineering #arrays #coding #pythonprogramming #vscode

2D Arithmetic Operations ON Numpy Array in Python #datascience #dataanalytics #dataengineering #python #softwareengineering #coding

DataTalksClub's Data Engineering Zoomcamp Workshop 1 - dlt pipelines

This optional workshop introduced us to dlt for easier data loading from/to various sources (e.g. various hosted DBs, APIs, cloud services, etc).

For those who want to follow the XDG spec, you can set "DLT_DATA_DIR=$XDG_DATA_HOME/dlt" to make dlt comply with it.

My answers to the workshop: https://github.com/goosethedev/de-zoomcamp-2025/tree/9b50dec0c5897efe8d2cc87851c28162472127b1/w1-dlt-workshop

About the bootcamp: https://github.com/DataTalksClub/data-engineering-zoomcamp

How to do Element-wise Arithmetic Operations Numpy Array in Python#softwareengineering #pythonprogramming #dataanalytics #arrays #dataengineering #datascience #numypy #vscode #coding #python

Slicing 2D Numpy Array in Python - also known as extracting arrays parts#dataanalytics #numypy #pythonprogramming #datascience #dataengineering #softwareengineering #vscode #arrays #coding #python

Slicing 1D Numpy Array in Python - also known as extracting arrays parts #dataanalytics #datascience #dataengineering #python #softwareengineering #coding #pythonprogramming #vscode #numypy #arrays

Python Numpy Indexing 1D and 2D Arrays using Postive and Negative Index Numbers#datascience #dataengineering #dataanalytics #softwareengineering #python #coding

Python Numpy Array Most Useful Properties#datascience #dataengineering #dataanalytics #softwareengineering #python #coding

Python Numpy Module Size and Shape of Array#dataanalytics #dataengineering #datascience #python #softwareengineering #coding

How to Check Version of Python Module#python #dataengineering #softwareengineering #coding #dataanalytics #datascience

Position: Databricks + Unity Catalog Engineer
Location: Bangalore, Pune, Mumbai, Noida, Gurugram
Notice Period: Immediate to February Serving
Experience: 6+ Years

Experience in Data Engineering & Governance

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Contact: +917428694900

Apply now and be part of cutting-edge data solutions!
https://zurl.co/IeK73