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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. It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data.

Big Data 321
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A Comprehensive Guide to Database Sharding: Building Scalable Systems

DZone

In this article, we’ll dive deep into the concept of database sharding, a critical technique for scaling databases to handle large volumes of data and high levels of traffic. We’ll start by defining what sharding is and why it’s essential for modern, high-performance databases.

Database 279
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The Ultimate Database Scaling Cheatsheet: Strategies for Optimizing Performance and Scalability

DZone

As applications grow in complexity and user base, the demands on their underlying databases increase significantly. Efficient database scaling becomes crucial to maintain performance, ensure reliability, and manage large volumes of data. This cheatsheet provides an overview of essential techniques for database scaling.

Strategy 261
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. But there are more interesting cases where users want to store temporal (time-based) data or spatial data. Movie Entity with id 1234 has violence.

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Database Sharding and Its Challenges

DZone

Database sharding is a powerful technique employed to manage large databases more effectively. It involves partitioning a large database into smaller, more manageable parts, known as shards. The above diagram presents a visual representation of a sharded database.

Database 232
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What Should You Know About Graph Database’s Scalability?

DZone

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.

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Building an Optimized Data Pipeline on Azure Using Spark, Data Factory, Databricks, and Synapse Analytics

DZone

Data processing in the cloud has become increasingly popular due to its scalability, flexibility, and cost-effectiveness. This article will explore how these technologies can be used together to create an optimized data pipeline for data processing in the cloud.

Azure 246