Rails Adds SKIP_TEST_DATABASE_TRUNCATE Flag To Speed Up Multi Process Test Runs https://lnkd.in/gyJRHcBJ #rails #rails7_2 #db
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ActiveRecord::Base#pluck adds support for hash values in Rails 7.2 https://lnkd.in/ggCVPqCf #rails #rails7
ActiveRecord::Base#pluck adds support for hash values in Rails 7.2
blog.saeloun.com
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Rails 7.1 Introduces ActiveRecord regroup Method https://lnkd.in/ghp-bpvE #rails #rails7_1 #activerecord
Rails 7.1 Introduces ActiveRecord regroup Method
blog.saeloun.com
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I'm excited to share that I've successfully completed the MongoDB Developer's Toolkit certification course on GeeksforGeeks! 🎉 As someone who has already built projects with MongoDB, this course was an excellent opportunity to dive deeper and refine my skills. A big thank you to GeeksforGeeks for providing such a comprehensive and advanced learning experience. Key areas where I enhanced my MongoDB expertise: 1. CRUD Operations: Expanded my knowledge of advanced Create, Read, Update, and Delete techniques for more efficient data manipulation. 2. Aggregation Framework: Mastered complex data analysis and transformations using MongoDB's powerful aggregation pipeline, opening up new possibilities for data processing. 3. Indexes: Deepened my understanding of advanced indexing strategies to further optimize query performance and improve database efficiency. 4. Atlas Search: Explored the full potential of full-text search capabilities, allowing for more nuanced and powerful querying of text data. 5. Data Modeling: Gained insights into designing more sophisticated schemas and data structures, ensuring better scalability and performance for complex use cases. 6. ACID Transactions: Strengthened my ability to implement and manage ACID (Atomicity, Consistency, Isolation, Durability) transactions in MongoDB, crucial for maintaining data integrity in complex, multi-document operations. This certification has significantly expanded my MongoDB toolkit, equipping me with advanced skills to build even more robust, scalable, and efficient database solutions. I'm excited to apply these enhanced capabilities in my future projects and push the boundaries of what I can achieve with MongoDB!
03428febf6d298347f4c69694077f5ea.pdf
media.geeksforgeeks.org
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DuckDB as the New jq https://buff.ly/43K7v3P (via @pgr0ss)
DuckDB as the New jq
pgrs.net
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Some notes & caveats on the VSS (Vector Similarity Search) Index in DuckDB: https://lnkd.in/dDbgF-by
Some Notes on Vector Indexing in DuckDB
bnm3k.github.io
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Have you tried returning a Set of elements from repository? Sets are fast and optimal structures for collision check operations https://lnkd.in/eXU64tmJ
Patterns for Iterating Over Large Result Sets With Spring Data JPA | Baeldung
baeldung.com
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Hanami 2.2.0.beta1 was released today! This version ships with ROM integration via hanami-db gem and also shows a preview of the new dry-operation gem. Please help with testing it out! #hanamirb #ruby #webframework #opensource
Hanami 2.2.0.beta1
hanamirb.org
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🎉 Excited to share that I've completed the MongoDB course from GeeksforGeeks! 🚀 A big thank you to GeeksforGeeks for offering such comprehesive content. Looking forward to applying these learnings in real-world projects! 💻 #MongoDB #NoSQL #Database #Learning #GeeksforGeeks #TechSkills #ContinuousLearning #BigData
912275a0b6b19c16323f300c659b3140.pdf
media.geeksforgeeks.org
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What is #JSON? 🤔 ⌨️ It's a lightweight, text-based data format that is easy for humans and machines to read and write. And JSON has become popular because of its simplicity and compactness. Check out our guide on "What is JSON?" here: https://lnkd.in/erMstWje
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#AmazonNeptune #graphdb Better, faster, and cheaper? Yes. The latest engine release for Amazon Neptune delivers up to 9X faster and up to 10X higher throughput for #openCypher query performance. If you're an Amazon Web Services (AWS), upgrade your customer cluster to 1.3.2.x or create a new one. Super-proud of the team for their customer obsession and delivering significant price-performance improvement results for our customers.
New Amazon Neptune engine version delivers up to 9 times faster and 10 times higher throughput for openCypher query performance | Amazon Web Services
aws.amazon.com
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