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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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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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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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Is ANALYZE TABLE Safe on a Busy MySQL Database Server?

Percona

MySQL Server – Community Edition The problem applies to all versions of the upstream MySQL Community up to 8.0.23. Here is an example scenario you may end up here: mysql > select @@version,@@version_comment; + --+ + | @@version | @@version_comment | + --+ + | 5.7.43 | MySQL Community Server (GPL) | + --+ + 1 row in set (0.00

Servers 100
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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. What Is Sharding?

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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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Database Server Lifecycle for MySQL and MariaDB

Percona

In this blog post, we will look at the lifecycle and release management for MySQL and MariaDB servers — where we are now and relevant historical background. The MariaDB 11 series did not yet have any long-term supported (LTS) releases, which are the releases most would consider for running mission-critical databases in production.