Python Cheat sheet #python #pythoncoding #pythonprogramming #dataengineers #coding #programming
Python is a powerful, versatile, and beginner-friendly programming language used in automation, backend development, data ... source
#dataengineers
Data engineers work with cutting-edge tools like Apache Spark, Hadoop, Kafka, AWS, Azure and Snowflake. These technologies allow them to manage massive datasets, integrate diverse data sources, and support real-time analytics that drives critical business decisions.
Read: https://intellitrongenesis.com/2025/09/16/data-engineers-powering-the-backbone-of-modern-analytics/
#MachineLearning #AI
#DataEngineers #BigData #kafka #snowflake #MachineLearning #apache #ArtificialIntelligence #Tech #technology #Google #Microsoft #aws #Azure #IBM #Oracle #Nvidia #Adobe #OpenAI
real time project architecture for azure data factory and databricks
real time project #dataengineers. source
https://quadexcel.com/wp/real-time-project-architecture-for-azure-data-factory-and-databricks/
🔎🔥Summoning all #dataengineers, #AI enthusiasts, and #RAG masterminds - join us at #VSCON25 June 6th to expand your knowledge and network with global developers from #Google, #Oracle, and #Microsoft!
Sign up at: http://vsearchcon.com
#tech #vectorsearch #postgresql #pgvector #LLMs #MySQL #Vespa #Couchbase
How well do you think you know your data, #dataengineers and #datascientists ? You might want to profile your data more.
I've worked with the #Python package #ydata-profiling . It has some issues. But when I got it working, I found some surprising details about a dataset that I thought I already knew quite well. #pyspark
https://marcel-jan.eu/datablog/2025/04/24/profiling-data-with-ydata-in-pyspark/
Have you heard "it works on my machine"? Enter: containers. Learn how Docker, Inc ensures consistent ML models, data pipelines, and environments across any system in this article :blobcoffee: https://towardsdatascience.com/why-data-scientists-should-care-about-containers-and-stand-out-with-this-knowledge/
#docker #container #kubernetes #datascientist #dataengineering #dataengineers #datascience #virtualmachines
Over 30 stars already on my CSV editor for #dataengineers #opensource project !
Thanks for the support! :heart_fire:
Looking to connect with #dataengineers to keep up to date with #tech trends in the field 🤓
How To Become Top 10% Of Data Engineer in India #dataengineers
Top Skills to become Data Engineer. Learn how to become top 10% of Data engineers in India. Top skills for data engineers. source
https://quadexcel.com/wp/how-to-become-top-10-of-data-engineer-in-india-dataengineers/
What Does it Take to Be a Research Engineer? Delving into the Skills and Qualifications Required: https://lttr.ai/AGWby
#ResearchEngineerEmerges #EverEvolvingField #DataScience #KeyPlayer #DataScientists #DataEngineers #UniqueBlend #MirkoPetersSAnswer #OrchestraConductorHarmonizing #CreateBeautifulMusic
Research engineers possess a comprehensive skill set that bridges both domains of data science and software engineering, making them uniquely qualified for their role.
Read more 👉 https://lttr.ai/AGWar
#ResearchEngineerEmerges #EverEvolvingField #DataScience #KeyPlayer #DataScientists #DataEngineers #UniqueBlend #MirkoPetersSAnswer #OrchestraConductorHarmonizing #CreateBeautifulMusic
With their unique blend of expertise in both data science and software engineering, research engineers take on the end-to-end responsibility for developing and deploying data products or machine learning models.
Read more 👉 https://lttr.ai/AGWZ6
#ResearchEngineerEmerges #EverEvolvingField #DataScience #KeyPlayer #DataScientists #DataEngineers #UniqueBlend #MirkoPetersSAnswer #OrchestraConductorHarmonizing #CreateBeautifulMusic
🚀 🚀 🚀Just published a comprehensive new blog post on dockerizing your #Python-based ETL pipelines!
Delve into the varied benefits and detailed instructions of Docker packaging with us.
⚡ Learn how to create a virtual environment, and package a Python pipeline.
⚡ Learn about procedure of building and running Docker images while emphasizing the importance of distinct virtual environments for each project.
🔎 Discover how #DeltaLake simplifies the process of building data lakehouses and data pipelines at scale. With this practical guide, #dataengineers, #datascientists, and #dataanalysts will explore key data reliability challenges and learn to apply modern data engineering and management techniques. You'll also understand how ACID transactions bring reliability to data lakehouses at scale!
Check out Delta Lake: The Definitive Guide ➡️ https://lnkd.in/g3-RBeUz
another good quick comparison among data professionals 👇 💡
credit: Hamidreza haddad
It's the last day of February, so it's time for the February 2023 edition of the Iceberg Community News. Lots of great updates to #ApacheIceberg and #PyIceberg as well as adoption from StreamSets Inc., ClickHouse and Databend
#iceberg #datalakehouse #datalake #dataengineering #dataengineers #python
https://tabular.substack.com/p/february-2023-iceberg-community-news
One day you are in #college studying really interesting and theoretical #math topics and #coding as a #hobby
The next day you are aggregating tons of shitty, malformed #healthcare #bigdata for the man while smoothing out your brain on the daily with learning new tools for #dataengineers that will likely be obsolete and ridiculed in 5 years
What a boring way to make money
Any #data #engineers #dataengineers from #google here wanna help me understand how much of the sw/eng whiteboard algo/datastructures I need to know for the #datawarehouse interview?
this was a really fun conversation!
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RT @DataStackShow
Much of today’s data tooling wasn’t really built with data people in mind, so the DX kinda sucks.
Tune in to this week’s show with @meltanodata's @tayloramurphy for a great conversation on purpose-building tools for #dataengineers.
https://bit.ly/3URabq4
https://twitter.com/DataStackShow/status/1603028666509828097
1. more companies moving to serverless if they aren't already
2. data contracts taking precedence just like ethics for data science folks
3. a little more education around batch vs streaming architectures
4. more jobs in #dataengineering - more specializations as well in #data teams
5. #Dataengineers being a key part of the founding team than just an engineer to support #datascience workflow
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst