Pure Storage

FEBRUARY 13, 2024

Denormalized vs. Normalized Data by Pure Storage Blog Normalization and denormalization are two key concepts in database design, each serving a specific purpose. The goal of normalization is to minimize data redundancy and dependency by organizing data into well-structured tables. What Is Normalized Data?

Data Integrity 52

Data Integrity Application Evaluation Healthcare 52

Pure Storage

JANUARY 12, 2024

ETL vs. ELT by Pure Storage Blog Extract, transform, and load (ETL) and extract, load, and transform (ELT) are data pipeline workflows. With ETL, data is updated at the second step before being loaded into the data warehouse. With an ELT pipeline, data updates happen after the data is stored in the data warehouse.

Data Integrity 59

Data Integrity Application Travel Evaluation 59

Pure Storage

JUNE 5, 2024

Unlocking Business Growth through Data Storage Maturity by Pure Storage Blog Imagine that you and your small family live in a town going through its first years of drought. For starters, moving large amounts of data is a time-consuming and complex process. Traditional Most of your data is stored on premises.

Capacity 64

Capacity Evaluation Technology Mitigation 64

Pure Storage

OCTOBER 4, 2023

What Is a Data Mesh and How Do You Implement It? by Pure Storage Blog A data mesh is a transformative shift in data management that emphasizes decentralized data organization and domain-specific ownership. It empowers businesses to harness data more effectively. appeared first on Pure Storage Blog.

Architecture 52

Architecture Government Education Evaluation 52

Pure Storage

MAY 10, 2024

The SSD Trap: How a Storage Solution’s Reliance on SSDs Can Impact You (Part 1 of 2) by Pure Storage Blog As quad-level cell (QLC) NAND flash media continues to expand its prevalence into storage systems, we’re seeing increased cost-effectiveness of SSDs and with that, a drop in the deployment of traditional HDDs. Next, let’s look at DRAM.

Capacity 98

Capacity Media Marketing Retail 98

Pure Storage

AUGUST 1, 2023

Cosmos DB vs. MongoDB by Pure Storage Blog Just like other parts of the IT stack, databases have been through a very clear evolution over the last 40 years. Multi-model support: The ability to work with different data models within a single database simplifies development and reduces data integration complexities.

Application 52

Application Backup Evaluation High Availability 52

Pure Storage

FEBRUARY 9, 2024

All-flash Arrays vs. Hard Disk Drives: 5 Myths About HDDs by Pure Storage Blog It’s no secret data growth is on the rise. Research from Enterprise Strategy Group indicates that data capacity will grow tenfold by 2030, which means there’s never been a better time to ditch spinning disk and make the switch to an all-flash data center.

Capacity 52

Capacity Application Data Integrity Publishing 52