At CDE, our focus is on training and developing prospective data engineers to meet the rising demand for skilled professionals in the data engineering field
Berlin, Germany
Joined March 2024
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Sometimes, progress comes from giving yourself the time and space to focus, practise, and get better at what you do.
In Data Engineering, it’s easy to feel like you’re falling behind when there are so many tools to learn, concepts to understand, and skills to develop.
or exploring a new tool can make a real difference in your journey.
You don’t have to compete with anyone else’s progress. Focus on your own growth, stay consistent, and keep putting in the effort, even when the results aren’t immediate.
✨ CDE BOOTCAMP 3.0 — A WEEK OF REVISION & CONSOLIDATION
Learning doesn’t stop when a session ends. Sometimes, the most important part of learning is taking a step back, revisiting what you’ve learned, and giving yourself time to practise.
➜ Consolidate learning before moving on to new concepts.
A little reminder for our participants: You don’t have to understand everything at once. Take your time, practise what you’ve learned, revisit what challenges you, and keep building on your knowledge.
💬 CDE 3.0 participants, which topic did you spend the most time revisiting this week? Let us know in the comments!
#CDEBootcamp3.0 #CoreDataEngineers #DataEngineering #ContinuousLearning #TechCommunity
In Data Engineering, a pipeline may depend on several components working together, from Python applications to databases and other supporting services.
Managing each container separately can become tedious as your setup grows. That’s where Docker Compose comes in.
With Docker Compose, you can define multiple services in a single configuration file and manage them together, making it easier to set up, test, and reproduce your development environment.
Swipe through the post to learn how Docker Compose works, the essential commands to know, and how it can simplify your Data Engineering workflows.
Happy reading!
#Docker #DockerCompose #DataEngineering #DataPipelines #CoreDataEngineers #CDEBootcamp3.0
When working with Airbyte, choosing the right sync mode can make a difference in how data is transferred between systems.
Which Airbyte sync mode only pulls new or updated records since the last sync?
0%Full Refresh
80%Incremental
20%Overwrite
0%Append
5 votes • Final resultsYou don’t have to make a huge leap every day to make progress. Sometimes, growth looks like learning one new concept, improving a skill you already have, or simply choosing to keep going.
In Data Engineering, there will always be something new to learn.
A new tool, a difficult concept, a problem that takes longer than expected, or a skill you haven’t mastered yet.
Don’t let how much you still have to learn discourage you. Focus on making progress at your own pace and becoming a little better than you were yesterday.
✨ CDE BOOTCAMP 3.0 — AIRBYTE
Another week of learning, exploring, and adding new tools to our Data Engineering toolkit!
This week, our participants explored Airbyte, gaining a better understanding of how data can be moved between different systems and integrated into modern
scenarios and better understand how Airbyte can be used to move data between systems efficiently.
A special shout-out to Ahmed Oladapo for guiding our participants through Airbyte and making the sessions practical and engaging. 👏
💬 CDE 3.0 participants, over to you!
What was your biggest takeaway from this week’s Airbyte sessions?
Share your experience in the comments!
#CDEBootcamp3.0 #CoreDataEngineers #DataEngineering #Airbyte #DataIntegration