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Reducing the Performance Gap of Intel's MKL on AMD Threadripper
In this post I'm going to show you a simple way to significantly speedup Python numpy compute performance on AMD CPU's when using Anaconda Python.
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The latest blog posts to take off on Hacker News. 2,338 posts.
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Indexing Billions of Text Vectors
Optimizing memory-usage for approximate nearest neighbor search
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Amazon Launches Managed Cassandra Service
Managing databases at scale is never easy. One of the options to store, retrieve, and manage large amounts of structured data, including key-value and tabular formats, is Apache Cassandra. With Cassandra, you can use the expressive Cassandra Query Language (CQL) to build applications quickly. However, managing large…
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Discovering less-known Postgres v12 features
Get to know and learn how to use some less-known features of Version 12 of PostgreSQL. You'll surely discover something new for yourself.
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Trends in the San Francisco (mostly dog?) poop crisis
Oscar Wilde once said, “it’s an odd thing but anyone who disappears is said to be in San Francisco.” Indeed, with the weather, view, and diversity, San Francisco is one of the most beautiful cities in the U.S. But then, every city has a dark side, and San Francisco is no exception. San Francisco, as […]
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Personal and social information of 1.2B people discovered in data leak
Bespoke cyber investigations and dark web intelligence — threat actor attribution, asset tracing, digital forensics, and ransomware negotiation.
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AWS Data Exchange
We live in a data-intensive, data-driven world! Organizations of all types collect, store, process, analyze data and use it to inform and improve their decision-making processes. The AWS Cloud is well-suited to all of these activities; it offers vast amounts of storage, access to any conceivable amount of compute…
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CockroachDB 19.2
CockroachDB 19.2 improves latency, reliability, and usability. We’re bringing the speed of distributed transactions closer to the theoretical minimum.
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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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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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Avoiding “OR” for Better Query Performance
OR in the WHERE condition of a PostgreSQL database query is usually a cause of bad query performance. How to rewrite queries without OR.
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Time Series Prediction – A short introduction for pragmatists
Are you trying to predict time series but don't know where to start? This blog post will provide a comparison of the most prominent techniques and show you how …
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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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Using the linear distance operator in Postgres 12 to find the closest match
Experience zero data sprawl with EDB Postgres AI. Capable of handling 30B+ trades a day and managing 50 TB.
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Building a Large-Scale Distributed Storage System Based on Raft
Guest post by Edward Huang, Co-founder & CTO of PingCAP In recent years, building a large-scale distributed storage system has become a hot topic. Distributed consensus algorithms like Paxos and Raft…
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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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Building columnar compression in a row-oriented database
Read how we built a flexible, high-performance columnar compression mechanism for PostgreSQL to add scalability to our favorite database.
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We need new data books, so we started one: Cloud Data Management
Introducing Chartio and Data School’s new book Cloud Data Management (4 Stages for Informed Companies).
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Solving a linear optimization problem on incentive allocation
At Lyft, scientists solve all kinds of optimization problems. While solvers can come in handy, there are times when complicated or…
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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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Books: an immutable double-entry accounting database service
Tracking financial transactions at scale
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Apache Arrow Flight: A Framework for Fast Data Transport
This post introduces Arrow Flight, a framework for building high performance data services. We have been building Flight over the last 18 months and are looking for developers and users to get involved.
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Amazon’s Consumer Business Turned Off Final Oracle Database
Over my 17 years at Amazon, I have seen that my colleagues on the engineering team are never content to leave good-enough alone. They routinely re-evaluate every internal system to make sure that it is as scalable, efficient, performant, and secure as possible. When they find an avenue for improvement, they will use…
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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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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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