Databend’s Post

And we posted the "7 key points to successfully upgrade from #Pentaho to Apache Hop" Looking to transition from #Pentaho to Apache Hop with confidence? We've got you covered! Check out our latest video and blog post: 🎥 Watch the video for a step-by-step overview: https://lnkd.in/ehCaMs3k 👉 Read the full post: https://lnkd.in/eg7T3-Ed Let us know your thoughts and questions in the comments! #apachehop #pentaho #dataengineering #opensourceinnovation #upgrade

🚀 This Week at Apache Hop 🚀 November 14, 2024 – November 21, 2024 Here’s a snapshot of what we accomplished together: 💡 Highlights: - 13 active pull requests: 11 merged, 2 newly opened. - 17 issues in motion: 9 closed, 8 newly opened. Code contributions: 12 commits pushed to main, with 86 files updated (504 additions and 226 deletions). 🐞 Some bug fixes and enhancements: - Fixes for database schema generation and Regex evaluation. - Documentation updates for the Regex Evaluation, Beam Bigtable Input and Kettle Import forms. - Resolved issues with transform selection, file movement errors on Windows, and dialog resizing. This week contributors: dave-csc https://lnkd.in/eJXZvQgm Tim Eckley https://github.com/wAVeckx Hans Van Akelyen Adalennis Buchillón Soris koogg https://github.com/koogg Nicolas ADMENT Bart Maertens 📢 Stay tuned for more updates and join the conversation in the Apache Hop community! https://lnkd.in/eUETpiZv #apachehop #dataengineering #opensource #community

I want my EB ticket! This is your last chance to save up to 250 USD. Early Bird deadline is today, visit our website and get your tickets before it's too late: https://lnkd.in/erATcGTY Apache Airflow #DataOrchestration #BatchProcessing #DataProcessing #DataPipelines #Data #DataSience #OpenSource

Delighted to introduce my latest project on GitHub! I've just uploaded comprehensive instructions for setting up and using Apache Kafka on your local machine. For those unfamiliar, Kafka is like a super-smart system for handling lots of data really quickly – perfect for all sorts of real-time projects! My GitHub post dives into the fundamentals of Kafka, its architecture, and its use cases. But the real highlight? I've included step-by-step instructions to effortlessly install and utilize Kafka on Windows. From starting Zookeeper to firing up Kafka servers and communicating with producers and consumers – everything is covered. Check it out here: https://lnkd.in/gs_MaCVQ Feel free to explore, share, and contribute! Let's empower more developers to harness the power of Kafka for their real-time data needs. 💡💻 #ApacheKafka #RealTimeData #GitHub

This took a painfully long time to setup:  timescale-db image with apache age (graph database) support added. https://lnkd.in/g8smvySb https://lnkd.in/gz7cSxX3

Hi LinkedIn Network! I’m currently working on a project and need installation expertise (not just configuration) for Apache Zookeeper and Druid on a virtual machine. If anyone has experience with the full installation setup, I’d love to connect and get your advice. Please feel free to reach out – your expertise would be greatly appreciated! Thank you in advance! #ApacheZookeeper #ApacheDruid #BigData #DataEngineering #VirtualMachines #OpenSource #TechHelp #DataAnalytics #CloudComputing #VMSetup #InstallationOnly #LinkedInNetwork #CommunitySupport

We have a recently had a request by a member of the community to change how we use #GitHub, in a way that, in-theory, will make things easier for community contributors. Our chief contributing officer Andrew Hutchings explains the current state and potential change. Read and vote - Where should new MariaDB Server features go in future?  - Versioned branch (current method) or - Main / trunk branch (proposed method) https://lnkd.in/dMcwcMJi

🚀 Calling all Apache AGE users! 🚀   🔍 Seeking Your Insights: Why do you use Apache AGE?   Hey there, fellow data enthusiasts! 👋 I hope this post finds you well. Today, I'm reaching out to our vibrant Apache AGE community to gather some valuable insights. We all have our reasons for choosing Apache AGE as our preferred graph database.   I'd love to hear from you about why you've used Apache AGE. Your project or application type; Any integrations with other technologies; Challenges solved with Apache AGE; Unique or interesting use cases; or Anything else you think it's worth sharing.   So, if you're passionate about Apache AGE and have a few moments to spare, please drop a comment in the link below. 👉https://lnkd.in/gf-J-89X These insights help us improve AGE and guide our development priorities. Thank you all for being part of this incredible community. Your contributions make all the difference! 🌟 #ApacheAGE #GraphDatabase #DataEnthusiasts #CommunityEngagement

To satisfy my own curiosity about the global open source community, I counted self-reported countries for the 150k+ most popular GitHub users (>= 70 followers). I am surprised by the high rate of voluntary self-reporting (70%)! The geographic distribution of popular open source people closely resembles my expectations (based on previous research). Here are the countries with > 1% of the most popular GitHub users. Special thanks to https://lnkd.in/gAsmyP23 for his really cool datasets! #opensource #supplychain #technology #data #publicpolicy

Apache XTable had its 1st release today 🎉 It's been only 4 months since we donated Apache XTable (Incubating) to the Apache Software Foundation. The project has had some great momentum since it was introduced last year. The community engagement, diverse set of contributors, mentors & users are something that drives all of this. It has also made some real impact to enterprise solutions and open source projects to help table formats be 'interoperable'. So, customers can choose their desired compute for that specific format. ✅ Microsoft Fabric + Snowflake -> uses XTable to support Iceberg along with Delta Lake, thereby allowing to interoperate between these 2 platforms. ✅ Apache Hudi support in Delta Lake UniFormat is facilitated by XTable. Having worked with multiple users/customers to implement lakehouses in the past couple years, I know some of the pressing problems that interoperability can solve. It is important for table formats to be 'interoperable' in an open data architecture. Today, 0.1.0 is out. Although this was focused mostly on improvements & getting ASF complaint (codebase, infra), we are getting the foundations robust. Check out the release notes (link in comments)! 🌟 Interested in applying XTable or contributing to it? Reach out or add a PR. #dataengineering #softwareengineering