Top Tweets for #Datapipeline
Wellington Electricity automated its GIS-OMS data pipeline, boosting operational resilience and cutting latency for faster, more accurate decisions.
#networkautomation #utility #datapipeline #gis
🚀 Stop Refreshing Your Entire BigQuery Table Every Time
https://t.co/KMCIGXIUGI
#BigQuery #GoogleCloud #DataEngineering #ETL #DataPipeline #CloudComputing #Analytics #SQL #GCP #DataWarehouse
How to Schedule BigQuery Pipelines Automatically in GCP
https://t.co/9UGhPIfZLf
#GoogleCloud #BigQuery #CloudFunctions #CloudScheduler #DataEngineering #ETL #DataPipeline #CloudComputing #GCP #Analytics
#DataAnalytics
🚀 How to Schedule BigQuery Pipelines Automatically in GCP
https://t.co/9UGhPIfZLf
#GoogleCloud #BigQuery #CloudFunctions #CloudScheduler #DataEngineering #ETL #DataPipeline #CloudComputing #GCP #Analytics
#DataAnalytics
A #DataPipeline automates the flow of data: moving, organizing, and transforming it to turn information into decisions.
It’s not just about having data, it’s about how quickly and effectively you can use it.
💬 Were you already familiar with this concept?
#DataConsulting
Un #DataPipeline automatiza el flujo de datos: los mueve, organiza y transforma para convertir información en decisiones.
No solo importa tener datos, sino qué tan rápido y correctamente puedes usarlos.
💬 ¿Ya conocías este concepto?
#AlldatumBusiness #ConsultoríaDeDatos
⚡ Argo Workflows: K8s-native workflow engine for CI/CD, ETL, and ML pipelines. Every step runs as a pod - full parallelism, complete audit logs, infinite scale!
#Kubernetes #ArgoWorkflows #DataPipeline #MLOps
After spending time with DolphinDB, fragmented data workflows start to feel unnecessarily complicated.
#DolphinDB #DataPipeline #BigData
🚀 https://t.co/voKW235GYj — Available for Sale
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Sold HouseOfBrains. com
Hold time: 1 year
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Data quality is a pipeline problem, not a form fix. Learn how developers can enforce quality through profiling, matching, and workflow automation at scale.
#dataquality #dataengineering #datapipeline
Read the full article below 👇
https://t.co/XkF3awIEwS
Every data pipeline needs an orchestrator—but every team has its favorite. 🚀
So, which orchestration tool do you use the most?
I'm curious to know what the community is using in 2026. 👇
#DataEngineering #ApacheAirflow #AWS #Python #ETL #BigData #DataPipeline #TechTwitter
Tired of complex queries trying to fit everything into a single, massive subqueries?
Use CTEs or Temp tables for modularity.
CTEs are great for single use; Temp tables are great for debuggability & re-usability
https://t.co/lOVJFTmFe8
#sql
#dataengineering
#datapipeline
Have you had data pipelines fail after hours of processing because you didn’t insert columns in the right order?
Most of these issues are preventable.
Create useful integration tests for your pipelines.
https://t.co/COncYZFvMh
#dataengineering
#datapipeline
#testing
Incremental pipelines are quick to build, but hard to get right.
A missed ‘=’ can cause duplicates.
Check out this post that shows you how to design incremental pipelines
https://t.co/GBQaTZ8GFP
#dataengineering
#datapipeline
#pipelinedesign
SQL is the bread and butter of data engineering.
Whether you are a seasoned pro or new to data engineering, there is always a way to improve your SQL skills.
Check out 8 patterns to uplevel your SQL skills.
https://t.co/givr68gFuA
#dataengineering
#sql
#datapipeline
Bad data does not announce itself.
It flows through your pipelines.While being completely wrong.
Great Expectations catches.
Full guide with Python code 👇
https://t.co/7sIUIMXTFI
#DataEngineering #DataQuality #Python #DataScience #MLOps #dbt #DataPipeline #Analytics #DataOps
Successfully built a basic #datapipeline using @ApacheAirflow to orchestrate a
#FastAPI service. The #DAG generates data, processes it via NumPy, and persists results into SQLite.
Everyone says you need to know Python for data work. But what does that mean exactly?
In this post I cover the key Python concepts every DE needs to know ⬇️
https://t.co/2e23ybfu81
#dataengineering
#python
#datapipeline
#softwareengineering
#dataanalysis
Pipeline code can be generated; set yourself apart by understanding how to design pipelines.
Learn how to design your pipelines based on given inputs and required outputs.
https://t.co/BdVQb37rqU
#dataengineering
#datawarehouse
#sql
#etl
#datapipeline
Don't hire a data person into a broken foundation. Fix the foundation first.
#DataEngineering #AIAgents #SaaSFounders #DataPipeline #DataFoundation #Analytics #DataOps
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