# concurrency control — RSS Amplifier

Recent posts from the 7 feeds in the RSS Amplifier directory that cover concurrency control.

Page: <https://rssamplifier.com/topics/concurrency-control>  
Feed: <https://rssamplifier.com/topics/concurrency-control.md>

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## [Big Data Engineering: Summary](https://www.youtube.com/watch?v=G8NH66jPZKI)

_2026-07-16 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Data in the Wild](https://www.youtube.com/watch?v=_a8HpZ1B5DI)

_2026-07-09 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Concurrency Control (Part 2)](https://www.youtube.com/watch?v=Jd0y91m0lOE)

_2026-07-02 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Agentic Software Development - a Checkpoint](https://www.youtube.com/watch?v=l7_YAwaukIQ)

_2026-06-18 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Big Data Engineering: 07 ORMs, SQL Injection, Web](https://www.youtube.com/watch?v=IwTnyoJeQlU)

_2026-06-11 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Notes on CRAQ](https://flaneur2020.github.io/posts/2026-05-24-craq/)

_2026-05-24 · Flaneur2020_

Recently while studying 3fs, I learned that it uses CRAQ (Chain Replication with Apportioned Queries) as its replication algorithm. Coincidentally, I had similar requirements at work, so I&rsquo;m documenting my understanding of CRAQ here. CRAQ is already a quite popular engineering solution for replication in object storage or KV systems. CRAQ can be viewed as a simple enhancement to traditional…

## [Big Data Engineering: 06 Query Optimization (Part 1)](https://www.youtube.com/watch?v=Wb_7U_wehNk)

_2026-05-21 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Big Data Engineering: 04 Ethical Implications of Data Management](https://www.youtube.com/watch?v=fzeaT70LCI8)

_2026-05-07 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Big Data Engineering: 03 SQL](https://www.youtube.com/watch?v=EZvUQHs6acw)

_2026-04-30 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Big Data Engineering: 02 Relational Algebra](https://www.youtube.com/watch?v=RtvZfGcvOyU)

_2026-04-23 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Non-Custodial Crypto Gateway (Sponsored)](https://crawlproof.com/a/6GnnpfFSLfIR)

_2026-04-23 · **Sponsored**_

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## [Big Data Engineering: 01 Entity Relationship Modeling and The Relational Model](https://www.youtube.com/watch?v=3MFloECbeCI)

_2026-04-16 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Big Data Engineering Course: 00 Introduction and Admin](https://www.youtube.com/watch?v=1r_-8YaRJgY)

_2026-04-09 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [AI and the Curse of Claudia](https://shivamkapoor.com/2026/04/04/ai-and-the-curse-of-claudia/)

_2026-04-04 · Shivam Kapoor · Thinking Out Loud_

“Our bodies will stay always as they are, fresh and alive, but we must never hesitate to bring death, because it is how we live.” — Lestat, Interview with the Vampire The unwritten rule among vampires was broken the night Claudia was made. She was never supposed to

## [Why I Built a Custom Electron App Just to Use iCloud Mail](https://shivamkapoor.com/2026/03/14/why-i-built-a-small-electron-app-just-to-use-icloud-mail/)

_2026-03-14 · Shivam Kapoor · Thinking Out Loud_

I run dark mode everywhere macOS, browser, editor, terminal. At this point its not really a preference anymore. Bright white screens for hours genuinely strain my eyes. That setup worked perfectly until I started using Hide My Email, Apple’s privacy feature that generates random relay addresses for signing

## [A Walkthrough of nano-vllm](https://flaneur2020.github.io/posts/2025-10-12-nano-vllm/)

_2025-10-12 · Flaneur2020_

Recently, I&rsquo;ve been delving into the architecture of production-grade inference engines. While projects like vLLM and SGLang are crazy sophisticated, their complexity can make detailed code tracing difficult. Over the holidays, I came across nano-vllm—a tightly scoped codebase that still delivers end-to-end support for Page Attention and scheduling. I took a deep dive into its internals and…

## [Why Bloom Filters Swipe Right on Immutability](https://shivamkapoor.com/2025/09/04/why-bloom-filters-swipe-right-on-immutability/)

_2025-09-04 · Shivam Kapoor · Thinking Out Loud_

In my last post Bloom Filters: MathMania , we worked through the derivations for optimal number of bits to allocate and the right number of hash functions to use – striking a balance between space, computation, and false positives. But all of that math rested on one simple assumption: the set

## [Data in the Wild (Summary)](https://www.youtube.com/watch?v=o_TfOMDOn_0)

_2025-07-17 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Concurrency Control (Part 1)](https://www.youtube.com/watch?v=NiEz-xm3LxM)

_2025-07-03 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [IMDb (Part 3), Web Development with Django, SQL Injection](https://www.youtube.com/watch?v=fOu9LRrC3vg)

_2025-06-12 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

## [Query Optimization (Part 2)](https://www.youtube.com/watch?v=6mefhfO5iyc)

_2025-06-05 · Prof. Dr. Jens Dittrich, Big Data Analytics · Prof. Dr. Jens Dittrich, Big Data Analytics_

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_2025-06-05 · **Sponsored**_

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## [Notes on RL: Policy Gradient & Log Derivative Trick](https://flaneur2020.github.io/posts/2025-02-25-policy-gradient/)

_2025-02-25 · Flaneur2020_

Recently I followed this tutorial to implement a basic Q-Learning reinforcement learning algorithm for Flappy Bird, which surprisingly worked quite well, reaching over 10,000 points. Q-Learning essentially estimates a value $Q(s, a)$ for each state-action pair $(s, a)$, and then selects actions based on these $Q$ values. Deep Q-Network (DQN) builds on basic Q-Learning by adding a neural network to…

## [Bloom Filters Mathmania](https://shivamkapoor.com/2025/01/13/bloom-filters-mathmania/)

_2025-01-13 · Shivam Kapoor · Thinking Out Loud_

So, you’ve come across Bloom filters and understand that, despite their probabilistic nature, they are a great fit for your use case. You’ve decided to integrate them into your system design, but you’re unsure about the optimal size and the number of hash functions

## [Using Binomial Distribution to Model Data Durability](https://shivamkapoor.com/2024/11/14/using-binomial-distribution-to-model-data-durability/)

_2024-11-14 · Shivam Kapoor · Thinking Out Loud_

Durability requirements influence the choice of data protection mechanisms, such as replication, erasure coding, and RAID parity configurations. Achieving higher durability involves trade-offs between redundancy , storage usage ratio , and computational complexity . Replication achieves durability by creating multiple copies of data, which increases redundancy but reduces the storage usage ratio.…