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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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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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Redis vs Memcached in 2024

Scalegrid

Introduction Caching serves a dual purpose in web development – speeding up client requests and reducing server load. With these goals in mind, two in-memory data stores, Redis and Memcached, have emerged as the top contenders. This mechanism results in fast data access and effective memory utilization. 3d render.

Cache 130
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What is cloud monitoring? How to improve your full-stack visibility

Dynatrace

As cloud and big data complexity scales beyond the ability of traditional monitoring tools to handle, next-generation cloud monitoring and observability are becoming necessities for IT teams. Database monitoring. This ensures the database queries are performant, while also identifying host problems. Website monitoring.

Cloud 227
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Kubernetes in the wild report 2023

Dynatrace

The strongest Kubernetes growth areas are security, databases, and CI/CD technologies. On-premises data centers invest in higher capacity servers since they provide more flexibility in the long run, while the procurement price of hardware is only one of many cost factors. Java, Go, and Node.js

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Reduce RPO, Encrypt Backups, and More in 1.15.0 Release of Percona Operator for MongoDB

Percona

release , we added support for physical backups and restores to significantly reduce Recovery Time Objective ( RTO ), especially for big data sets. release , we added support for physical backups and restores to significantly reduce Recovery Time Objective ( RTO ), especially for big data sets.

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Driving down the cost of Big-Data analytics - All Things Distributed

All Things Distributed

Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Driving Storage Costs Down for AWS Customers. Comments (). Syndication.

Big Data 112