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Announcing the Availability of Percona Backup for MongoDB 2.2.0

Percona

PBM) introduced a GA version of incremental physical backups , which can greatly impact both the recovery time and the cost of backup (considering storage and data transfer cost). Well, it is because we believe that open source philosophy is not only about the source but also about design and decision-making.

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Building an elastic query engine on disaggregated storage

The Morning Paper

Building an elastic query engine on disaggregated storage , Vuppalapati, NSDI’20. This paper describes the design decisions behind the Snowflake cloud-based data warehouse. have altered the many assumptions that guided the design and optimization of the Snowflake system. From shared-nothing to disaggregation.

Storage 112
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Key Advantages of DBMS for Efficient Data Management

Scalegrid

Despite initial investment costs, DBMS presents long-term savings and improved efficiency through automated processes, efficient query optimizations, and scalability, contributing to enhanced decision-making and end-user productivity. Since its introduction in the 1960s, the concept of DBMS has undergone significant evolution.

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All of Netflix’s HDR video streaming is now dynamically optimized

The Netflix TechBlog

HDR was launched at Netflix in 2016 and the number of titles available in HDR has been growing ever since. Bitrate versus quality comparison HDR-VMAF is designed to be format-agnostic — it measures the perceptual quality of HDR video signal regardless of its container format, for example, Dolby Vision or HDR10. We present two sets.

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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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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

Understanding Redis Performance Indicators Redis is designed to handle high traffic and low latency with its in-memory data store and efficient data structures. It’s important to note that recommended throughput levels may vary depending on factors such as operating system type, network bandwidth availability, and hardware quality.

Metrics 130
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MariaDB vs MySQL: Key Differences and Use Cases

Percona

While originally designed to be a drop-in replacement for MySQL, it evolved into its own distinct database management system and is now maintained and supported by the MariaDB Foundation. Disadvantages: While MariaDB is a popular and widely-used RDBMS, it can present some disadvantages to users that may not be present in others.