Learning Data Engineering? Don’t just chase tools like Spark & Airflow. Focus on core concepts: data modeling, ETL, SQL (it's a must!). Do real projects, not just tutorials. Understand data architecture & quality checks. Think about scalability & governance early on. Tools change, but fundamentals stay. Take it slow, build strong. #DataEngineering #LearningTips #SQL #TechCommunity

#DataStreaming is tough! Despite 10+ years of attempting to simplify it, teams often spend up to 80% of their time wrangling bad data at the lake and optimizing real-time pipelines.

Discover the basic challenges of Data Streaming and a few design & architecture patterns used to tackle these challenges.

This is about pragmatic solutions to build fast, scalable & manageable Data Streaming Pipelines! Watch the #InfoQ video now: https://bit.ly/3Zmjrrd

Stop duplicating dashboards to preview the impact of dbt model changes!

With Recce, you can:
Diff models
Record data impact
Share results instantly — no dashboards, no SQL, no screenshots

One click. Instant clarity:

https://medium.com/inthepipeline/stop-duplicating-dashboards-just-to-preview-dbt-changes-21ff0ba8dd21

Partitioning is not an optimization. It’s architecture.

If you’re still treating partitioning like a checkbox in your ETL job, you’re already in trouble.

The way you partition defines how your system scales, fails, and performs. It shapes everything - from cost to observability to team autonomy.

In this blog, I break down vertical, horizontal, functional partitioning and more:

https://luminousmen.com/post/data-partitioning-slice-smart-sleep-better

Free Online Demo – Microsoft Fabric
Date: 17th May 2025
Time: 9:00 AM IST
Trainer: Mr. Vishnu (Industry Expert)
Meeting Link: https://meet.goto.com/766368133
Meeting ID: 766368133
What You’ll Learn:
• Power BI
• Data Factory
• Data Engineering
• Business Intelligence
• Data Integration
Call: +91 7032290546
Visit: https://www.visualpath.in/online-microsoft-fabric-training.html
Don’t miss this FREE session to boost your data skills with Microsoft Fabric!

Still stuck manually copying rows?

Somewhere out there, someone’s still copy-pasting 10,000 of them.

Schedule a demo to see how easy automated data extraction can be: https://bit.ly/3ZcTxpS

A strong search feature improves user experience, especially on e-commerce sites where customers might only remember part of a product name or its use. In this blog post, @lacey shared how she built just that for a client using Meilisearch with Django, walked through the setup and implementation with a clear example.

https://www.revsys.com/tidbits/how-to-add-blazing-fast-search-to-your-django-site-with-meilisearch/

It’s not Spark.
It’s not the infra.
It’s not “just a lot of data.”

It’s your damn partition key.

Query performance in big data systems is 90% about I/O avoidance.
And partitioning is how you control the blast radius.

Fix your keys, reduce your scans, get your weekends back: https://luminousmen.com/post/data-partitioning-slice-smart-sleep-better

[FREE] Join the community of data engineers to receive practical lessons from the trenches straight to your inbox! Subscribe here: https://luminousmen.substack.com/welcome

Ah yes, the thrilling world of digital janitorial duties . Watch as "engineers" heroically navigate the high-stakes realm of data management, armed with #buzzwords and jargon. Who knew taking out the trash could sound so... cutting edge?
https://www.warpstream.com/blog/taking-out-the-trash-garbage-collection-of-object-storage-at-massive-scale #digitaljanitor #dataengineering #techhumor #datamanagement #HackerNews #ngated

Practical advice for Data Engineers

Always architect for at least two AZs
For critical apps, think multi-region - but only when you're ready
Treat every dependency (databases, queues, caches) as a point of failure - build backups and failovers.
Test failovers regularly. Don't just assume it works because "we configured it once"

In my blog post, I break down the AWS Lego blocks and explain how regions and availability zones really work: https://luminousmen.com/post/understanding-aws-regions-and-availability-zones-a-guide-for-beginners

AI models fail not due to bad algorithms, but bad data from day one.

Focus on:
Data sourcing
Cleaning
Bias handling
Feedback loops
Legal hygiene

Your model’s intelligence starts with better data.

Unlock AI training data secrets: https://bit.ly/3RXKK7p

GlassFlow – OSS streaming dedup and joins from Kafka to ClickHouse

https://github.com/glassflow/clickhouse-etl

Also #graphdatenbanken wie #neo4j sind ha schon maximal sexy. Aber wer sich #cypher als abfragesprache ausgedacht hat, gehört gesteinigt

Attend Online #NewBatch On Data Science with Generative AI by Mr. Vivek.
Batch on: 12th May, 2025 @ 8:30 PM (IST).
Contact us: +919989971070
WhatsApp: https://wa.me/c/917032290546
https://www.visualpath.in/online-data-science-with-generative-ai-course.html
Who Should Learn This Course?
AI & ML Professionals
Python Developers
Freshers & Graduates aiming for AI careers
IT Professionals looking to upskill in Generative AI

80%+ of Netflix views come from recommendations.

It’s not just streaming - it’s data-driven.

What businesses can learn:
• Personalize
• Predict
• Engage

https://bit.ly/3SxEmni

This week's newsletter will be out tomorrow. Interesting stuff by Cornellius Yudha Wijaya @nicole Brandon Chinn, Edward Li & OpenAI covered

https://newsletter.piptrends.com/p/a-practical-guide-to-building-agents

We often hear Python is an interpreted language and Java is a compiled one. So, does that mean Python doesn’t use a compiler and Java doesn’t use an interpreter? Not really. In this article, @nicole explained clearly.

https://ntietz.com/blog/python-is-an-interpreted-language-with-a-compiler/

Apache Kafka’s tiered storage unlocks massive scalability and long-term data retention without breaking the bank. Watch Paul Brebner explain how it works, its impact on performance and cost, and real-world replay use cases at #FOSSASIASummit2025

Watch: https://youtu.be/Sz8qtxAuL_Y

Looking to level up your data science skills? Cornellius Yudha Wijaya has shared an excellent list of free data science books in this article - perfect for expanding your knowledge without spending a dime.

https://www.kdnuggets.com/10-free-data-science-books-for-2025

Harnessing the Power of ClickHouse: Six Months of Insights from CloudQuery

In the fast-paced world of cloud data management, CloudQuery's journey with ClickHouse reveals both triumphs and challenges. Discover how this powerful database transformed their approach to data inge...

https://news.lavx.hu/article/harnessing-the-power-of-clickhouse-six-months-of-insights-from-cloudquery