PostgreSQLレプリケーション10周年!徹底紹介!(PostgreSQL Conference Japan 2019講演資料)

Treasure Data and AWS - Developers.io 2015AI-enhanced description This document discusses Treasure Data's data architecture. It describes how Treasure Data collects and imports log data using Fluentd. The data is stored in columnar format in S3 and metadata is stored in PostgreSQL. Treasure Data uses Presto to enable fast analytics on the large datasets. The document provides details on the import
The document discusses the use of PostgreSQL materialized views in ActiveRecord to enhance data retrieval performance and simplify complex queries in a Rails application. It outlines the benefits of using materialized views, including the ability to capture commonly used joins and filtering, thereby significantly reducing query runtime. Additionally, it highlights the downsides of materialized vie
GPGPU Accelerates PostgreSQL (English)AI-enhanced description The document discusses the integration of GPGPU (General-Purpose computing on Graphics Processing Units) with PostgreSQL through the pg-strom project, which offloads SQL workloads to GPUs for improved performance. It outlines the characteristics and advantages of using GPUs, details the architecture and functionalities of pg-strom, and
(SDD409) Amazon RDS for PostgreSQL Deep Dive | AWS re:Invent 2014 Learn the specifics of Amazon RDS for PostgreSQL's capabilities and extensions that make it powerful. This session covers database data import, performance tuning and monitoring, troubleshooting, security, and leveraging open source solutions with RDS. Throughout, this session focuses on capabilities particular to RDS for PostgreSQL
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