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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 228
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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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Enhancing Performance: Optimizing Complex MySQL Queries for Large Datasets

DZone

Optimizing complex MySQL queries is crucial when dealing with large datasets, such as fetching data from a database containing one million records or more. Poorly optimized queries can lead to slow response times and increased load on the database server, negatively impacting user experience and system performance.

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DBaaS vs Self-Managed Cloud Databases

Scalegrid

In the digital age, data management has transformed from locally hosted servers to cloud solutions. The choice of self-managed cloud databases vs DBaaS is a common debate among those who are looking for the best option that will cater to their particular needs.

Database 130
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Architecture Patterns: Sharding

DZone

Sharding, a database architecture pattern, involves partitioning a database into smaller, faster, more manageable parts called shards. Each shard is a distinct database, and collectively, these shards make up the entire database.

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Unmatched scalability and security of Dynatrace extensions now available for all supported technologies: 7 reasons to migrate your JMX and Python plugins

Dynatrace

that offers security, scalability, and simplicity of use. already address SNMP, WMI, SQL databases, and Prometheus technologies, serving the monitoring needs of hundreds of Dynatrace customers. Python code also carries limited scalability and the burden of governing its security in production environments and lifecycle management.

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Scalable Solutions With Percona Distribution for PostgreSQL (Part 1): Set Up Three PostgreSQL Database Instances

Percona

Welcome to the first installment of our series: Scalable Solutions with Percona Distribution for PostgreSQL. In this guide, we will demonstrate how to establish a Citus database spanning multiple nodes by using Percona Distribution for PostgreSQL. Ensure that these values align with your desired database configuration.