Did you know Python’s standard library includes configparser, which lets you work with Windows-style INI files? If not, check out this article by @driscollis where he walks through creating, editing and reading INI files with clear examples.
#python #Programming #PythonProgramming #ai #ml #MachineLearning #SoftwareDevelopment #WebDevelopment #TechNews #OpenSource #DataEngineering
Google’s Data Engineering workflow for YouTube Recommendation system! #dataengineering #pyspark
Join this channel to get access to perks: – – – Book a ... source
pro tip for user interface designers:
if you have hundreds of millions of dollars of venture capital and you want to make a user facing data analytics tool of some kind and you think it's reasonable to ask an average human being to type this:
CAST('2023-05-01' AS TIMESTAMP)
to do literally anything with a date or time in your application's user interface, just stop right there. do not pass go, do not collect $200, and do not ever attempt to offer feedback to a UX designer ever again. something is deeply broken inside you that means there are certain mysteries of the universe that even the guys who designed the postgres command line can access that you will never know, and that's ok. You can still live a really rad life.
🚀 Big Data Pipeline Cheatsheet for AWS, Azure & GCP 🌩️
This one visual explains it all: from Ingestion ➡️ Data Lake ➡️ Computation ➡️ Data Warehouse ➡️ Presentation.
Perfect for:
🧠 Data Engineers
☁️ Cloud Architects
🤖 ML Engineers
🔁 Boost this if you're building in the cloud!
#DataEngineering #BigData #CloudComputing #AWS #Azure #GCP #MachineLearning #ETL #DataPipeline #MastodonTech #OpenSource #Fediverse
Build smarter enterprise #apps with #opensource #dataengineering & #GenAI stacks!
Explore tools for scalable data platforms, content generation, and QA systems — plus #RAG design insights for fresher, more accurate outputs.
Watch Hai Vu share practical strategies.
Click here: https://youtu.be/VuDbzSIpDcs
The problem: Setting up GA + BigQuery = 40+ manual steps, delayed insights, expensive queries
Our solution:
Managed Warehouse with:
One-click deployment
Real-time ClickHouse backend
Usage-based pricing
Built-in feature flag analytics
First 2M events/month free for Pro users. Raw SQL access maintained for power users.
Self-hosters: We're working on bringing Feature Usage Analytics to on-prem deployments too 👀
#OpenSource #DataEngineering #ClickHouse
Choose Recce and Datafold?
Datafold if:
→ large-scale data
→ automated CI/CD coverage all
Recce if:
→ focus on dev-time validation
→ prefer lightweight, open-source flexibility
Full comparison: https://datarecce.io/blog/recce-vs-datafold/
Microservices and Data Engineering: How They Work Together
https://youtu.be/mLAISnfOjNE
🎉 Huge thanks to the LanceDB CEO / cofounder Chang She for delivering an incredible talk on "Search, Retrieval, Training, and Analytics with Modern AI Data Lake" at #DataAndAIEngineering #SanFrancisco #meetup !
📹 Great news - the recording is now available! Check it out if you missed it or want to revisit the key concepts. 👇
https://watch.softinio.com/w/mVkLgtcQw8Qv5vA4v8SDHB
#DataEngineering #AIEngineering #SanFrancisco #LanceDB #DataLake #MachineLearning #VectorDB #Database #AI #ArtificialIntelligence
Studying for the DP-203: Data Engineering on Microsoft Azure exam?
Data Processing is a major part of the syllabus make sure you’ve got it covered!
In our latest blog, we explore:
✔️ Batch vs. Stream processing
✔️ Azure Data Factory, Synapse, Databricks
✔️ Data movement, transformation and orchestration
🔗 Read the blog: https://bit.ly/4nfwzc3
#DP203 #Azure #MicrosoftCertification #DataEngineering #OpenLearning #CloudCerts #FOSSCommunity #TechEducation #Study4Exam
Auto-diff every model on every PR? Tempting.
But you’ll get ⚠️ dozens of alerts, most irrelevant.
CI without context = alert spam.
Real-world data work needs more than diffs: what changed, why, and what to do.
Human judgment matters.
Recce helps automate with opinions.
👉 https://datarecce.io/blog/more-than-data-diff/
#dataengineering #datadiff #analyticsengineering #datavalidation
ClickHouse scales beyond 100 petabytes of logs
https://clickhouse.com/blog/scaling-observability-beyond-100pb-wide-events-replacing-otel
#HackerNews #ClickHouse #Scalability #BigData #Logs #Observability #DataEngineering
A Python-first data lakehouse
https://www.bauplanlabs.com/blog/everything-as-python
#HackerNews #Python #DataLakehouse #DataEngineering #BigData #TechNews
Tomorrow newsletter will be out. Interesting stuff by Gwyneth Peña-Siguenza, Erez Shinan, Corey Schafer, @tonybaloney & Yang Zhou covered
https://newsletter.piptrends.com/p/how-reladiff-works-t-strings-gil
#python #Programming #PythonProgramming #ai #ml #MachineLearning #SoftwareDevelopment #WebDevelopment #TechNews #OpenSource #DataEngineering
t-strings are a new feature which is coming in Python 3.14. If you're wondering why we need t-strings when f-strings already exist, check out this video by @tonybaloney He explained how t-strings make it easier to create reusable templates and add custom logic or sanitisation, which makes string formatting more powerful and secure, with a clear and practical example.
https://www.youtube.com/watch?v=yx1QPm4aXeA
#python #Programming #PythonProgramming #SoftwareDevelopment #TechNews #OpenSource #DataEngineering
Rust is transforming data engineering by offering unparalleled performance and cost efficiency. Singular's Extract platform, powered by Rust, achieves 17x performance improvements and up to 70% cost reductions. With memory safety and modern design, Rust is becoming the go-to for data-intensive workloads. Learn how Rust is outperforming Python and Java in enterprise data pipelines. #RustLang #DataEngineering #TechAdvancements #Programming"
https://thenewstack.io/rust-eats-pythons-javas-lunch-in-data-engineering/
Pinpointing differences between two tables is very important for tasks like validating data migrations or spotting corruption. But when those tables live in different databases, it becomes tricky due to issues like network costs and different SQL dialects. In this article, Erez Shinnan shared how Reladiff tackles these challenges and its development journey.
https://eshsoft.com/blog/how-reladiff-works
#python #Programming #PythonProgramming #SoftwareDevelopment #OpenSource #DataEngineering
Hot take: Automating ALL data diffs by default is backwards 🔥
🤖 Datafold's automation-first vs 🙋Recce's human-in-the-loop philosophy
Getting 50 automated alerts or 5 targeted insights?
See comparison https://datarecce.io/blog/recce-vs-datafold/
New Open-Source Tool Spotlight 🚨🚨🚨
Transform any URL into an LLM-ready input with `Reader`. Just prefix the URL with `https://r.jina.ai/` for clean, readable content extraction. Perfect for enhancing agents & RAG pipelines. #LLM #NLP
Need web search results for your LLM? Prepend queries with `https://s.jina.ai/` to fetch top results—content included. E.g., `https://s.jina.ai/your+query` brings knowledge directly to your model. #AItools #DataEngineering
Reader API now supports images! Captions are auto-generated for images missing alt tags, giving LLMs better context for reasoning and summarizing multimedia pages. #MachineLearning #AI
🔗 Project link on #GitHub 👉 https://github.com/jina-ai/reader
#Infosec #Cybersecurity #Software #Technology #News #CTF #Cybersecuritycareer #hacking #redteam #blueteam #purpleteam #tips #opensource #cloudsecurity
— ✨
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