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The Little Redis Book
Karl Seguin's Blog - A mix of coding and creative writing
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 1,888 posts.
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Global EV Charging Points with Open Charge Map
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
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Go and SQLite in the Cloud
Why SQLite and Go in the cloud are a great match, getting started, best practices, and more.
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NoSQL vs. RDBMS: Let the flames begin
I’ve been getting solidly flamed recently, as have my former coworkers at Digg, my friends at Twitter, etc. about our adoption and promotion of various NoSQL storage systems. It seems that some DBAs are very, very upset that us internet kids are considering abandoning SQL’s ship. I’m not here to throw out a bunch of…
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The Database Inside Your Codebase
Navigating codebases of any meaningful size is difficult. Most of a programmer's time is spent jumping through the codebase, reading or skimming to build a ment...
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The Birth of Parquet
15 years ago (2007-2011) I was at Yahoo! working with Map/Reduce and Apache Pig, which was the better Map/Reduce at the time. The Dremel paper just came out and, as everything I worked with seemed to be inspired from Google papers, I read it. I could see it applying to what we were doing at Yahoo! and this was to…
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Why Use Postgres - Part 2
This post is a list of many of the reasons to use Postgres, much this content as well as how to use these features will later be curated within PostgresGuide.com. If you need to get started check out Postgres.app for Mac, or get a Cloud instance at Heroku Postgres for free Last week I did a post on the many reasons to…
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R Passes SAS, but Python Leaves Them Both Behind
Examines market share or popularity of data science software by comparing the number of jobs available for each software package.
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SQLite's documentation about its durability properties is unclear
Is SQLite durable by default? What settings guarantee durability? The documentation and even comments from its creator give conflicting answers.
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Unofficial Guide to Datomic Internals (2014)
This post is a compilation of publicly available information, Datomic docs and google group answers about Datomic internals. Intention is to help others understand implementation model and use Datomic more efficiently.
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Pivot – Rows to Columns
Pivot SQL tables with CASE or FILTER. Turn rows into columns for the entity-attribute-value model (EAV).
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Data Factories
Facebook and Google and other advertising businesses are data factories, and regulation will be most effective if it lets users look inside
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Knowledge Graphs in RAG: Hype vs. Ragas Analysis
A deep dive on Microsoft's GraphRAG paper found questionable metrics with vaguely defined lift, so I analyzed knowledge graphs in RAG overall using Neo4j vs FAISS
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Trade-offs between Different CRDTs
🔰If CRDTs are new to you, here are some introductory links. - An interactive intro to CRDTs - An introduction to state-based CRDTs - CRDTs for non-academics - CRDT: The Hard Parts - Readings in CRDTs - crdt.tech What are the trade-offs between different kinds of CRDTs (Conflict-free Replicated
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Let's Build PlanetScale from Scratch: Infrastructure
Homescale, PlanetScale at home.
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Haunted by Data
This is the text version of a talk I gave on October 1, 2015, at the Strata+Hadoop World conference in New York City. The video version is here (20 mins).
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What MongoDB got right
MongoDB is perhaps the most-widely-mocked piece of software out there right now. While some of the mockery is out-of-date or rooted in misunderstandings, much of it is well-deserved, and it’s difficult to disagree that much of MongoDB’s engineering is incredibly simplistic, inefficient, and immature compared to…
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What's left of NoSQL?
What’s left of NoSQL if they start adding ACID and SQL support?
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No, QuestDB is not Faster than ClickHouse
telegra.ph/no-questdb-is-not-faster-than-clickhouse-06-152022144 points63 commentscited by 3Databases & Data details
QuestDB created a minor stir in the small but active world of analytics database benchmarking with this blog article: https://questdb.io/blog/2022/05/26/query-benchmark-questdb-versus-clickhouse-timescale. This is the money quote: “QuestDB is an order of magnitude faster than both TimescaleDB and ClickHouse in this…
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The new local data stack: Integrating Dagster, dbt and DuckDB
Lean and efficient MDS experience: Delivers better software engineering practices to the data ecosystem with the new local MDS stack comprised of Dagster, dbt and DuckDB which offers better developer productivity by enhancing testability of the E2E pipeline.
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A Data Pipeline Is a Materialized View
Say you run an online book store and want to build a data pipeline that figures out who the top-selling authors are. Logically, the input to the pipeline is a log of every individual book purchase on the store for all time, along with details about each book like who authored it. And the output is a list of the…
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Cargo cult data science
Data science as a cargo cult
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Sculpting the moon in R: Subdivision surfaces and displacement mapping
We like the moon The moon is very useful, everyone Everybody like the moon Because it light up the sky at night and it lovely and it makes the tides go and we like it But not as much as cheese We really like cheese
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Putting a full power search engine in Ecto
My diatribe about adding support for ParadeDB to Ecto