BigLake: Unify data lakes & data warehouses | Google Cloud
Google is named a leader in The Forrester Wave™: Data Lakehouses Q2 2024 report. BigLake is a storage engine that provides a unified interface for analytics and AI engines to query multiformat, multicloud, and multimodal data in a secure, governed, and performant manner. Build a single-copy AI lakehouse designed to reduce management of and need for custom data infrastructure.
ARMing A Breadboard — Everyone Should Program An ARM
I’m always a little surprised that we don’t see more ARM-based projects. Of course, we do see some, but the volume isn’t what I’d expect given that low-level ARM chips are cheap, capable, low power, and readily available. Having a 32-bit processor with lots of memory running at 40 or 50 MIPS is a game changer compared to, say, a traditional Arduino (and, yes, the Arduino Due and Zero are ARM-based
Why Intel added cache partitioning
Typical server utilization is between 10% and 50%. Google has demonstrated 90% utilization without impacting latency SLAs. Xkcd estimated that Google owns 2 million machines. If you estimate an amortized total cost of $4k per machine per year, that's $8 billion per year. With numbers like that, even small improvements have a large impact, and this isn't a small improvement. How is it possible to g
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IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS, VOL. 23, NO. 4, APRIL 2015 723 Per-Core DVFS With Switched-Capacitor Converters for Energy Efficiency in Manycore Processors Ruzica Jevtić, Member, IEEE, Hanh-Phuc Le, Member, IEEE, Milovan Blagojević, Member, IEEE, Stevo Bailey, Student Member, IEEE, Krste Asanović, Fellow, IEEE, Elad Alon, Senior Member, IEEE, and Borivoje Niko
AWS Lambda を計算リソースとして使う - いもす研 (imos laboratory)
Amazon EC2 は 1 時間単位，Google Compute Engine も 10 分単位でしか借りられず，試行錯誤しながらプログラムを書いている時に計算リソースを使い切ることは困難です．そこで 100 ミリ秒単位で使える AWS Lambda を計算リソースとして使ってみました． AWS Lambda は表向きは Node.js あるいは Java が使えると書かれていますが，実際には最近流行りのコンテナ技術を使っており言語レベルでの制限はかけられておらず，exec 関数を呼び出すことにより（静的リンクされていれば）任意のバイナリを実行することができます．そこで C++ で書かれたプログラムを実行する方法について紹介します． Linux 上で x86-64 向けにコンパイル・静的リンクされたバイナリがあれば，それを AWS Lambda 上で実行することは簡単にできます．コンパ
PRINCIPLES OF CHAOS ENGINEERING - Principles of chaos engineering
PRINCIPLES OF CHAOS ENGINEERING Last Update: 2019 March (changes) Chaos Engineering is the discipline of experimenting on a system in order to build confidence in the system’s capability to withstand turbulent conditions in production. Advances in large-scale, distributed software systems are changing the game for software engineering. As an industry, we are quick to adopt practices that increase
Medium
You can find (just about) anything on Medium — apparently even a page that doesn’t exist. Maybe these stories will take you somewhere new?
A Decade at Google – ACM SIGMOD Blog
I recently celebrated my 10th anniversary at Google and decided to take the opportunity to share some of my reflections on the past decade. Prior to joining Google, I was on the faculty of the Department of Computer Science and Engineering at the University of Washington, where I founded the database research group that is thriving today even more than it did a decade ago. During my tenure at UW I
Python Programming Language – Official Website
# Python 3: Fibonacci series up to n >>> def fib(n): >>> a, b = 0, 1 >>> while a < n: >>> print(a, end=' ') >>> a, b = b, a+b >>> print() >>> fib(1000) 0 1 1 2 3 5 8 13 21 34 55 89 144 233 377 610 987 Functions Defined The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. More about defining f
Dask — Dask documentation
Dask¶ Dask is a flexible library for parallel computing in Python. Dask is composed of two parts: Dynamic task scheduling optimized for computation. This is similar to Airflow, Luigi, Celery, or Make, but optimized for interactive computational workloads. “Big Data” collections like parallel arrays, dataframes, and lists that extend common interfaces like NumPy, Pandas, or Python iterators to larg
What I Wish I Knew When Learning Haskell
What I Wish I Knew When Learning Haskell Version 2.5 Version This is the fifth major draft of this document since 2009. HTML Version Screen PDF Printable PDF EPUB Version Kindle Version Pull requests are always accepted for changes and additional content. This is a living document. The only way this document will stay up to date is through the kindness of readers like you and community patches and
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Code Review Etiquette For The Modern Developer
All You Need to Know about Vector Databases and How to Use Them to Augment Your LLM Apps
GitHub - GetPublii/Publii: The most intuitive Static Site CMS designed for SEO-optimized and privacy-focused websites.
A Computational Introduction to Number Theory and Algebra (Version 2)
http://u.cs.biu.ac.il/~yogo/nnlp.pdf
| SUclass OnCampus
Domain error
Iterators++, Part 1
Meeting C++