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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Architecture. We will use a graph database such as Neo4j to store the information. Component Design. API Design. Problem Statement. System Components.

Design 334
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is a massively parallel processing (MPP) SQL database that is built and based on PostgreSQL. In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. The Greenplum Architecture. The Greenplum Architecture.

Big Data 321
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Ready for changes with Hexagonal Architecture

The Netflix TechBlog

At one point, more than 30 developers were working on it, and it had well over 300 database tables. Leveraging Hexagonal Architecture We needed to support the ability to swap data sources without impacting business logic , so we knew we needed to keep them decoupled. The dependency graph in Hexagonal Architecture goes inward.

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Optimizing data warehouse storage

The Netflix TechBlog

At this scale, we can gain a significant amount of performance and cost benefits by optimizing the storage layout (records, objects, partitions) as the data lands into our warehouse. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Storage 203
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Amazon Aurora ascendant: How we designed a cloud-native relational database

All Things Distributed

Relational databases have been around for a long time. The core technologies underpinning the major relational database management systems of today were developed in the 1980–1990s. Those fundamentals helped make relational databases immensely popular with users everywhere.

Database 147
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Amazon Aurora ascendant: How we designed a cloud-native relational database

All Things Distributed

Relational databases have been around for a long time. The core technologies underpinning the major relational database management systems of today were developed in the 1980–1990s. Those fundamentals helped make relational databases immensely popular with users everywhere.

Database 156