Big Data Fundamentals: big data tutorial
dev.toยท19hยท
Discuss: DEV
๐ŸŒŠStreaming Systems
Introduction to the Fundamentals of Amazon Redshift
redshift-observatory.chยท5h
๐Ÿ—ƒ๏ธDatabase Storage
Azure SQL Managed Instance Storage Is Regularly as Slow as 60 Seconds
kendralittle.comยท12hยท
Discuss: Hacker News
๐Ÿ“Database WAL
Balancing technology heterogeneity in microservice architectures [EMSE Journal]
dirkriehle.comยท1d
๐ŸŒŠStreaming Systems
New: Improve Apache Iceberg query performance in Amazon S3 with sort and z-order compaction
aws.amazon.comยท17h
๐Ÿ”„Burrows-Wheeler
Is SPL more difficult or easier than SQL?
github.comยท5hยท
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โ›๏ธSQL Archaeology
5 huge stumbling blocks to legacy mainframe EOL
techradar.comยท7h
๐Ÿ›๏ธMainframe Archaeology
Implementation and Evaluation of Fast Raft for Hierarchical Consensus
arxiv.orgยท1d
๐ŸคConsensus Protocols
[Feedback Wanted] Container Platform Focused on Resource Efficiency, Simplicity, and Speed
reddit.comยท10hยท
Discuss: r/kubernetes
๐Ÿ“ฆContainer Security
Database Relationships Explained: From Theory to Rails Implementation From Core Concepts to Building Robust Rails Applications
blog.codeminer42.comยท1d
๐Ÿ—„๏ธDatabase Internals
Slashing CI Costs at Uber
uber.comยท4hยท
Discuss: Hacker News
๐Ÿ”„Reproducible Builds
The Case for Native Iceberg Catalog APIs and Unified Governance in Object Storage
blog.min.ioยท1d
๐Ÿท๏ธMetadata Standards
New OLTP: Postgres With Separate Compute and Storage
thenewstack.ioยท3d
๐Ÿ—„๏ธDatabase Internals
Global by Design: Tigris's Distributed Object Storage Architecture
dev.toยท16hยท
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โšกRedis Internals
Brent Yorgey: Competitive programming in Haskell: range queries, classified
byorgey.github.ioยท2d
ฮปLambda Encodings
See More, Worry Less: Managed Database Observability, Monitoring, and Hardening Advancements
digitalocean.comยท21h
๐Ÿ“ŠHomelab Monitoring
LakeFS adds REST catalog support for data version control on structured data
lakefs.ioยท23mยท
Discuss: Hacker News
๐Ÿ”ŒArchive APIs
5 Cloud Storage Best Practices for AI Workloads
backblaze.comยท22h
๐Ÿ’พPersistence Strategies
High-Performance Go Data Pipelines: Essential Concurrency Patterns for Extreme Scale
dev.toยท2dยท
Discuss: DEV
๐ŸŒŠStream Processing
What I learned from the book Designing Data-Intensive Applications
newsletter.techworld-with-milan.comยท5dยท
Discuss: r/compsci, r/programming
๐Ÿ—„๏ธDatabase Internals