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Backup and Recovery for Databases: What You Should Know

Percona

Data powers everything, and unlike coal and coal combustion, data and databases aren’t going away. In this blog, we’ll focus on the elements of database backup and disaster recovery, and we’ll introduce proven solutions for maintaining business continuity, even amid otherwise dire circumstances.

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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. Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. What is an MPP Database?

Big Data 321
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The Ultimate Guide to Database High Availability

Percona

To make data count and to ensure cloud computing is unabated, companies and organizations must have highly available databases. A basic high availability database system provides failover (preferably automatic) from a primary database node to redundant nodes within a cluster. HA is sometimes confused with “fault tolerance.”

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Understanding What Kubernetes Is Used For: The Key to Cloud-Native Efficiency

Percona

If you have any experience working with database software, you have undoubtedly heard the term Kubernetes a lot. Kubernetes manages and orchestrates these containers, handling tasks such as deployment, scaling, load balancing, and networking. have adopted Kubernetes.

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Generative AI in the Enterprise

O'Reilly

If we asked whether their companies were using databases or web servers, no doubt 100% of the respondents would have said “yes.” And there are tools for archiving and indexing prompts for reuse, vector databases for retrieving documents that an AI can use to answer a question, and much more. from the healthcare industry, and 3.7%

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. This can quickly saturate the network (and bog down the client).

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Application developers often deploy IMDGs as a distributed cache that sits between an application and its database; the IMDG offloads ephemeral data from the database. Offloading the database boosts performance, reduces bottlenecks, and lowers costs. This can quickly saturate the network (and bog down the client).