Tagged articles
216 articles
Page 3 of 3
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 storageScalability
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-MemoryOraclecompression
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 AcceleratorColumnar StorageDB2
0 likes · 15 min read
How DB2 BLU Accelerator Supercharges OLAP with Columnar Storage and SIMD

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.

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