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maxpack: deduplication of versioned data

https://sudonull.com/maxpack-deduplication-of-versioned-data

maxpack provides up to 50x compression on versioned projects like Node.js, CPython. Benchmarks, comparisons with tar+zstd, 7z. Test on your own datasets for IT specialists.

ClickHouse: deduplication and losses in MV

https://sudonull.com/clickhouse-deduplication-and-losses-in-mv

Analysis of data losses in ClickHouse due to block deduplication in materialized views. Settings insert_deduplicate=0 and deduplicate_blocks_in_dependent_materialized_views=1. Configure lossless storage — read the details.

ReplacingMergeTree in ClickHouse: Complete Guide

https://sudonull.com/replacingmergetree-in-clickhouse-complete-guide

Learn how ReplacingMergeTree removes duplicates, works with versions and FINAL. Examples, pitfalls, and comparison with CollapsingMergeTree for advanced deduplication.

Logger: design for diagnostics in production

https://sudonull.com/logger-design-for-diagnostics-in-production

Learn how to design loggers for balancing speed and diagnostics. Channels, subsystems, deduplication — key mechanisms without restarts. For middle/senior developers.

Alertmanager-jira: integration of alerts with Jira

https://sudonull.com/alertmanager-jira-integration-of-alerts-with-jira

Set up Alertmanager webhook for automatic task creation in Jira. Flexible templates, custom fields, JQL deduplication. Docker deployment for Prometheus/VictoriaMetrics. Learn more.

From the web

Data deduplication - Wikipedia

https://en.wikipedia.org/wiki/Data_deduplication

Learn how data deduplication is a technique for eliminating duplicate copies of repeating data in computing. Compare different methods, benefits, and applications of data deduplication.

Data Deduplication Overview | Microsoft Learn

https://learn.microsoft.com/en-us/windows-server/storage/data-deduplication/overview

Data Deduplication , often called Dedup for short, is a feature that can help reduce the impact of redundant data on storage costs. When enabled, Data Deduplication optimizes free space on a volume by examining the data on the volume by looking for duplicated portions on the volume. Duplicated portions of the volume's dataset are stored once and are (optionally) compressed for additional savings. Data Deduplication optimizes redundancies without compromising data fidelity or integrity. More information about how Data Deduplication works can be found in the 'How does Data Deduplication work?' section of the Understanding Data Deduplication page.

What is data deduplication? - IBM

https://www.ibm.com/think/topics/data-deduplication

What is data deduplication? Data deduplication is a streamlining process in which redundant data is reduced by eliminating extra copies of the same information . The goal of data deduplication, or “dedupe” as it’s commonly shortened, is to lessen an organization’s ongoing storage needs.

What is Data deduplication? Meaning, Examples, Use Cases, and ...

https://www.thedataops.org/data-deduplication/

Feb 20, 2026 · Data deduplication is the process of identifying and eliminating duplicate copies of data to reduce storage, bandwidth, and processing waste while preserving logical correctness.

What are the Types of Data Deduplication? | IBM

https://www.ibm.com/think/topics/data-deduplication-types

Although many organizations make use of data deduplication techniques (or “dedupe”) as part of their data management system, not nearly as many truly understand what the deduplication process is and what it’s intended to do. So, let’s demystify dedupe and explain how data deduplication works.

What is Data Deduplication? - Data Deduplication Explained - AWS

https://aws.amazon.com/what-is/data-deduplication/

Data deduplication is the process of finding and removing copies of the same data to avoid redundancy and errors . After data deduplication, only one instance of the data exists.

Understanding Data Deduplication | Microsoft Learn

https://learn.microsoft.com/en-us/windows-server/storage/data-deduplication/understand

Feb 18, 2022 · Data Deduplication uses a post-processing strategy to optimize and maintain a volume's space efficiency. The Optimization job deduplicates by chunking data on a volume per the volume policy settings, (optionally) compressing those chunks, and storing chunks uniquely in the chunk store.

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