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Harvesting LinkedIn data for fun and profit
A few years ago, before the GDPR era, I was involved in a stealth marketing startup. We went out of
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ScyllaDB Open Source 3.0
With the release of ScyllaDB Open Source 3.0, we’ve introduced a rich set of new production-ready features that surpass the capabilities of Apache Cassandra.
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How We Built a Vectorized SQL Engine
Using vectorized processing in an execution engine makes more efficient use of modern CPUs by changing the data orientation (from rows to columns) to get more out of the CPU cache and deep instruction pipelines by operating on batches of data at a time.
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MySQL Challenge: 100k Connections
It's not beyond possibility to set up MySQL to achieve 100,000 concurrent connections if you balance network config and use thread pools. By Vadim Tkachenko
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Natural Language Processing: The Age of Transformers
This article is the first installment of a two-post series on Building a machine reading comprehension system using the latest advances in deep learning for NLP.
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Averages Can Be Misleading: Try a Percentile (2014)
With the release of Elasticsearch 1.1.0, there is a new metric aggregation available to users: the Percentile metric. Percentiles tell you the value at which a certain percentage of your data is incl...
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Shareable Jupyter Notebooks That Run on Free Cloud GPUs
Gradient Community Notebooks provide free GPUs with pre-configured environments for machine learning and deep learning projects.
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Backblaze Hard Drive Stats Q3 2019
A problem that would have been discovered in the future would now be captured by the SMART stats when the process reads that section of disk today.
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Beware the data science pin factory: The power of the data science generalist
This post discusses the benefits of full-stack data science generalists over narrow functional specialists. The later will help you execute and bring process...
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Move Fast and Migrate Things: How We Automated Migrations in Postgres
At Benchling, we’re building a platform to help scientists do research. Hundreds of thousands of scientists across academia and enterprise…
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Migrating 23TB from S3 to B2 in 7 hours
Nodecraft moved 23TB of customer backup files from AWS S3 to Backblaze B2 in just 7 hours, and saved big on egrees fees with Cloudflare's Bandwidth Alliance.
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PyPy's New JSON Parser
Introduction In the last year or two I have worked on and off on making PyPy's JSON faster, particularly when parsing large JSON files. I...
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Microsoft’s visual data explorer SandDance open sourced
SandDance, the beloved data visualization tool from Microsoft Research, has been re-released as an open source project on GitHub.
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Build an Air Quality Monitor with InfluxDB, Grafana and Docker on a Raspberry Pi
balenaSense reads temperature- humidity- barometric pressure- and air quality- and provides a dashboard that you can access from anywhere.
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PostgreSQL Performance on Raspberry Pi
Have you ever wondered how well PostgreSQL performs on a Raspberry Pi 3B ? Oh. You haven't? Oh well, I asked myself that question and put it to the test. This post covers how I used pgbench to answer this question and the results of what I found.
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When an SQL Database Makes a Great Pub/Sub
We explore how databases be used as effective Pub/Subs in Go, demonstrating how SQL's unique features can enhance message-driven applications.
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What SQL Analysts Need to Know About Python (2016)
Explore technical topics, solutions, and resources for building with Twilio – and beyond.
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Parallel Commits: A New Atomic Commit Protocol for Distributed Transactions
Parallel Commits are an atomic commit protocol in CockroachDB. The feature promises to halve the latency of distributed transactions by performing all consensus round trips required to commit a transaction concurrently.
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Building CockroachDB on top of RocksDB
CockroachDB uses RocksDB for its storage engine because of RocksDB's rich feature set, which is necessary for a complex product like a distributed SQL database.
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Efficient GraphQL Queries in Ruby on Rails and Postgres
We discuss what N+1 queries are, how they are easily produced in GraphQL, and how to solve them using the graphql-batch gem along with a few custom batch loaders.