BestHub
Sign in
Tagged articles

compression

225 articles · Page 3 of 3
Architects' Tech Alliance
Architects' Tech Alliance
Jun 18, 2017 · Fundamentals

Differences and Implementation of Data Deduplication and Compression in Primary Storage and Flash Systems

This article explains the technical distinctions between data deduplication and compression, compares their use in backup versus primary storage environments, and details how major vendors implement these technologies in SSD and flash arrays, highlighting performance, architectural, and operational considerations.

FlashPrimary Storagecompression
0 likes · 16 min read
Differences and Implementation of Data Deduplication and Compression in Primary Storage and Flash Systems
Baidu Maps Tech Team
Baidu Maps Tech Team
Jun 2, 2017 · Frontend Development

How Texture Size, Format, and Compression Affect WebGL Performance

This article examines how texture dimensions, data formats, and compression techniques influence creation time, memory usage, and rendering performance in WebGL, offering practical guidelines for optimizing texture handling in web graphics applications.

WebGLcompressiontexture performance
0 likes · 10 min read
How Texture Size, Format, and Compression Affect WebGL Performance
Tencent IMWeb Frontend Team
Tencent IMWeb Frontend Team
May 21, 2017 · Frontend Development

How HTML and CSS Attribute Order Impacts Gzip Compression Size

This article explores how the ordering of HTML and CSS attributes influences gzip compression ratios, demonstrates size differences with reordered code, and clarifies Chrome DevTools' Size vs. Content values, offering practical tips for better web performance and maintainable code.

Frontendcompressiongzip
0 likes · 5 min read
How HTML and CSS Attribute Order Impacts Gzip Compression Size
High Availability Architecture
High Availability Architecture
Mar 22, 2017 · Databases

RocksDB Basics: Architecture, Features, and Performance

This article provides a comprehensive overview of RocksDB, covering its origin, design goals, core architecture components, key features such as APIs, compression strategies, durability mechanisms, backup and replication support, as well as tooling, testing, and performance characteristics.

DatabaseRocksDBcompression
0 likes · 17 min read
RocksDB Basics: Architecture, Features, and Performance
Tencent Cloud Developer
Tencent Cloud Developer
Mar 9, 2017 · Databases

Benchmarking TokuDB vs InnoDB: Insertion Throughput and Compression Ratio

The benchmark shows that while InnoDB delivers roughly 30 % higher insert throughput than TokuDB, the TokuDB engine achieves 10‑16× storage compression with comparable import times, minimal impact from log‑sync settings, and zlib emerging as the preferred compression algorithm for balanced performance and CPU usage.

DatabaseInnoDBMySQL
0 likes · 18 min read
Benchmarking TokuDB vs InnoDB: Insertion Throughput and Compression Ratio
ZhiKe AI
ZhiKe AI
Feb 9, 2017 · Fundamentals

Essential Linux Commands: Classification, Usage, and Tips

This article provides a comprehensive guide to common Linux commands, covering internal vs external classification, help lookup methods, command syntax, practical examples for file management, system monitoring, compression, shutdown, pipelines, quoting, and best learning habits.

Command LineLinuxNetworking
0 likes · 15 min read
Essential Linux Commands: Classification, Usage, and Tips
Tencent Cloud Developer
Tencent Cloud Developer
Jan 19, 2017 · Databases

Understanding PostgreSQL TOAST (The Oversized-Attribute Storage Technique)

PostgreSQL's TOAST mechanism automatically compresses and, when necessary, moves oversized column values to an external toast table, using four storage strategies (plain, extended, external, main) that dictate compression and externalization behavior, with data exceeding roughly 2 KB triggering external storage regardless of strategy.

Database StorageExternal StoragePostgreSQL
0 likes · 8 min read
Understanding PostgreSQL TOAST (The Oversized-Attribute Storage Technique)
Architects' Tech Alliance
Architects' Tech Alliance
Jul 23, 2016 · Fundamentals

Understanding Data Deduplication and Compression in Backup Software

This article explains the core features of backup software, focusing on data deduplication and compression techniques, including source‑side, target‑side, and media‑side deduplication, parallel deduplication architectures, replication methods, and hardware snapshot integration, illustrated with SimPana and AnyBackup examples.

Backupcompressiondeduplication
0 likes · 14 min read
Understanding Data Deduplication and Compression in Backup Software
21CTO
21CTO
Feb 9, 2016 · Operations

Weibo’s Cross‑IDC Image Storage: Scaling Architecture & Real‑Time Compression

This article explains how Weibo’s massive image‑hosting platform uses a cross‑IDC distributed object storage system, optimized upload/download pipelines, and a custom compression library to handle billions of images and extreme traffic spikes during events like the Chinese New Year.

Backend ArchitectureImage storagecompression
0 likes · 8 min read
Weibo’s Cross‑IDC Image Storage: Scaling Architecture & Real‑Time Compression
dbaplus Community
dbaplus Community
Jan 31, 2016 · Databases

Unlock Oracle 12c Performance: Mastering In-Memory Option (IMO)

Oracle 12c’s In‑Memory Option (IMO) lets you store table, partition, and materialized view data in a columnar format within the SGA, offering faster query performance, configurable compression, priority settings, and detailed management via INMEMORY clauses, parameters, and specialized dictionary views.

In-MemoryOracleSQL
0 likes · 17 min read
Unlock Oracle 12c Performance: Mastering In-Memory Option (IMO)
Architects' Tech Alliance
Architects' Tech Alliance
Jan 28, 2016 · Fundamentals

Deduplication and Compression Techniques in Primary Storage: Differences from Backup Scenarios

This article examines how deduplication and compression technologies, widely used in backup environments, are adapted for primary storage systems—particularly HDD arrays—by analyzing differences in I/O size, patterns, performance requirements, resource allocation, and implementation approaches of major vendors such as NetApp and EMC.

BackupEMCNetApp
0 likes · 8 min read
Deduplication and Compression Techniques in Primary Storage: Differences from Backup Scenarios
Architects' Tech Alliance
Architects' Tech Alliance
Jan 27, 2016 · Fundamentals

Deduplication and Compression Techniques in All‑Flash Arrays: Implementation Details and Vendor Comparisons

All‑flash storage arrays increasingly rely on deduplication combined with compression to extend SSD lifespan, and this article explains the underlying block‑level workflow, hash‑based fingerprinting, and key implementation differences among vendors such as EMC Xtremio, Pure Storage, and HP 3PAR.

HashingPure StorageSSD endurance
0 likes · 6 min read
Deduplication and Compression Techniques in All‑Flash Arrays: Implementation Details and Vendor Comparisons
dbaplus Community
dbaplus Community
Dec 16, 2015 · Databases

How DB2 BLU Accelerator Supercharges OLAP with Columnar Storage and SIMD

This article explains IBM DB2 BLU Accelerator’s columnar storage, multi‑level compression, TSN‑based logical rows, SIMD processing, intra‑parallel execution, probability‑based caching, and automatic admin features, showing how these technologies together deliver dramatic I/O and performance gains for analytical workloads.

BLU AcceleratorDB2SIMD
0 likes · 15 min read
How DB2 BLU Accelerator Supercharges OLAP with Columnar Storage and SIMD
Art of Distributed System Architecture Design
Art of Distributed System Architecture Design
Aug 22, 2015 · Big Data

Leveraging Bitmap for High‑Performance Multi‑Dimensional Analytics in Big Data

This article explains how bitmap data structures, combined with compression and in‑memory techniques, enable fast, flexible, and scalable multi‑dimensional analytics for large‑scale data platforms, addressing historical marketing inefficiencies and outlining future directions such as memory‑mapped files and distributed bitmap computation.

BitmapDistributed ComputingMulti-dimensional Analytics
0 likes · 19 min read
Leveraging Bitmap for High‑Performance Multi‑Dimensional Analytics in Big Data