All things data
- The Data Dichotomy: Rethinking the Way We Treat Data and Services
- Gently down the stream - A gentle introduction to Kafka
- What is high cardinality, and how do time-series databases like InfluxDB and TimescaleDB compare?
- COVID19 data in the REPL
- ClickHouse Cost-Efficiency in Action: Analyzing 500 Billion Rows on an Intel NUC
- Embracing SQL In Postgres
- PostgreSQL Don't Do This
- Store application logs in timescaleDB/postgres
- Analytics engineering for everyone
- PostgreSQL Tools for the Visually Inclined
- It’s Time To Get Over That Stored Procedure Aversion You Have
- Simplify: move code into database functions
- Best practices for data modeling
- Avoiding “OR” for better query performance
- Modern Data Practice and the SQL Tradition
- What Great Data Analysts Do — and Why Every Organization Needs Them
- SQL queries don't start with SELECT
- Math Versus Dirty Data
- The log/event processing pipeline you can't have
- Fun with SQL: Recursive CTEs in Postgres
- Calculating a Moving Average on Streaming Data
- Postgres Hidden Gems
- Using logs to build a solid data infrastructure
- Materialized View Strategies Using PostgreSQL
- Publishing with Apache Kafka at The New York Times
- Apache Kafka, Samza, and the Unix Philosophy of Distributed Data
- The limitations of deep learning
- Simple but Handy Postgres Features
- Looking inside machine learning black boxes
- Redis in My Postgres
- Is PostgreSQL good enough?
- Automatically test your database backups
- The amazing power of word vectors
- Practical advice for analysis of large, complex data sets by a Google data scientist
- How to trick a neural network into thinking a panda is a vulture
- Machine Learning for Emoji Trends
- Analyzing the Graph of Thrones
- Data-hacking for The Best Pokémon of All Time
- Finding Similar Sounding Names
- The Truth About Deep Learning
- Visualizing city similarity
- Statistics for Hackers
- Haunted by Data
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