Art of Data Engineering

Maybe I'll regret writing this post one day, and I know this will divide opinion, but when it comes to AI my overarching feeling is that... Big to Small (i.e. condensing large amounts of data into a set of predictions, or using GenAI for summarisations/image analysis etc) = Overall positive Small to Big (i.e. transforming a small prompt into an essay, music track, video etc) = Overall negative That's not to say that there aren't good applications in the latter category, and of course there are edge cases in each, but in very general terms this feeling is becoming increasingly hard to shake.

🧱 Databricks Read/Write Optimization: A Step-by-Step Guide Learn how to optimize read and write operations in Databricks 💡 Article by: Rui Carvalho ➡ Link to Article: https://lnkd.in/ezMmpCSH - - - - - - - - - - - - - - - - - - - - - - - - - - - 💡 Follow for more great content! ✅ ✍️ Want to contribute? Connect with us. 🔗 Let's create together! ✅ - - - - - - - - - - - - - - - - - - - - - - - - - - - #dataengineering #sql #databricks #dataanalytics

📚 Essential Questions to Master Your Azure Data Engineer Career Want to ace it as an Azure Data Engineer? 💡 Article by: Rui Carvalho ➡ Link to Article: https://lnkd.in/e3KavV_M - - - - - - - - - - - - - - - - - - - - - - - - - - - 💡 Follow for more great content! ✅ ✍️ Want to contribute? Connect with us. 🔗 Let's create together! ✅ - - - - - - - - - - - - - - - - - - - - - - - - - - - #dataengineering #sql #databricks #dataanalytics

💻 Working in data means if you mess up… Half the company will know about it in record time. Everything you touch is likely plugged into every monitoring, alerting, and logging system in the world. 🙈 No hiding for you — sorry. The positive side is you probably won’t make the evening news (I said probably). 🚧 That said, a mistake is only a small event on a long road that is your career. 💡 Mistakes happen — learn from them. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 👍 If you like this post follow me for more. 👍 🔥 Latest article in the comments section below. 👇 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - #dataengineering #datascience #careerdevelopment #dataanalytics

🤯 Complicated sucks Simple code 🧑💻, simple tasks ✅, simple processes 🔄. These are the things that stand the test of time ⏳. ✅ They are easy to fix. ✅ Easy to manage. ✅ Easy to improve on. Complex slows you down and increases maintenance costs  — for no benefit. 🛠️ Simple Scales ✨ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - 👍 If you like this post follow me for more. 👍 🔥 Latest article in the comments section below. 👇 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - #dataengineering #datascience #sql #dataanalytics

I have taken on and met professionals in different types of Data engineering roles throughout my Data engineering journey. I categorized them into three, as pictured in the image below : → 𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 :      𝗙𝗼𝗰𝘂𝘀: Building pipelines to process, transform, analyze and store data.      𝗧𝗼𝗼𝗹𝘀: Python, SQL, Spark, Cloud platforms, Big Data tools... → 𝗧𝗵𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺/𝗠𝗟𝗢𝗽𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 :      𝗙𝗼𝗰𝘂𝘀: Building infrastructure to support data workflows and Platform automation.      𝗧𝗼𝗼𝗹𝘀: Python, IaC, CI/CD tools, Docker, Cloud platforms... → 𝗧𝗵𝗲 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 :      𝗙𝗼𝗰𝘂𝘀: Transforming data for analytics. It is at the intersection of Data Engineer and Data Analyst.      𝗧𝗼𝗼𝗹𝘀: dbt, Tableau, Snowflake, ... To read more about it, check out the article I wrote on the subject: 👇 https://lnkd.in/es5F5XUi Also, let me know your thoughts on this categorization. Which role have you taken in your Data engineering journey, and which do you prefer? #dataengineering #dataengineer #analyticsengineer #BigData #career  

🫠 How to Stay Sane and Productive in Data Engineering Smarter Habits for Data Engineers 💡 Article by: Tim Webster ➡ Link to Article: https://lnkd.in/eDJP8bMk - - - - - - - - - - - - - - - - - - - - - - - - - - - 💡 Follow for more great content! ✅ ✍️ Want to contribute? Connect with us. 🔗 Let's create together! ✅ - - - - - - - - - - - - - - - - - - - - - - - - - - - #dataengineering #datascience #careeradvice #dataanalytics

🤔 5 Important Takeaways After 2 Years in Consulting Key Takeaways from My Two Years in Consulting 💡 Article by: Lorena GONGANG ➡ Link to Article: https://lnkd.in/eTzdf982 - - - - - - - - - - - - - - - - - - - - - - - - - - - 💡 Follow for more great content! ✅ ✍️ Want to contribute? Connect with us. 🔗 Let's create together! ✅ - - - - - - - - - - - - - - - - - - - - - - - - - - - #dataengineering #datascience #consulting #dataanalytics

Data engineers be like: 'Where do we plug it in?!' 🔌💾 #AWS #S3Tables #DataEngineering #reinvent2024

🤩 Why Simplicity Wins in Data Engineering (and How to Get There) Stop Over Complicating Everything 💡 Article by: Tim Webster ➡ Link to Article: https://lnkd.in/eAq4jB_z - - - - - - - - - - - - - - - - - - - - - - - - - - - 💡 Follow for more great content! ✅ ✍️ Want to contribute? Connect with us. 🔗 Let's create together! ✅ - - - - - - - - - - - - - - - - - - - - - - - - - - - #dataengineering #datascience #datapipeline #dataanalytics