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Accelerating generative AI requires the right storage

CIO

Generative AI “fuel” and the right “fuel tank” Enterprises are in their own race, hastening to embrace generative AI ( another CIO.com article talks more about this). In generative AI, data is the fuel, storage is the fuel tank and compute is the engine. The World Economic Forum estimates 75% of companies will adopt AI by 2027.

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There's more to cloud architecture than GPUs

InfoWorld

Indeed, GPUs could quickly become commodities like other resources that AI systems need, such as storage and processing space. To read this article in full, please click here The focus should be on designing and deploying these systems, not just the hardware they run on. Call me crazy.

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How a new database architecture supports scale and reliability in TiDB

InfoWorld

Their role transcends storage. To read this article in full, please click here Decisions are made, strategies are drafted, and services are personalized in real time based on vast streams of data. [ Also on InfoWorld: Why SQL still rules ] Relational databases sit at the epicenter of this seismic shift.

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Medallion Architecture: Efficient Batch and Stream Processing Data Pipelines With Azure Databricks and Delta Lake

Dzone - DevOps

Medallion Architecture provides a framework for organizing data processing workflows into different zones, enabling optimized batch and stream processing. This article explores the concepts of Medallion Architecture and demonstrates how to implement batch and stream processing pipelines using Azure Databricks and Delta Lake.

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How CareSource ditched its data silos

CIO

As companies re-evaluate current IT infrastructures and processes with the goal of creating more efficient, resilient, and intuitive enterprise systems, one thing has become very clear: traditional data warehousing architectures that separate data storage from usage are pretty much obsolete.

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David Patterson Biography

The Crazy Programmer

David’s main areas of investigation are as under: Parallel computing Computer architecture Distributed computing Workload Embedded system. He is famous for research on redundant arrays of inexpensive disks (RAID) storage. Books written by David on computer architecture are extensively used in computer science education.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. This article explains what a data lake is, its architecture, and diverse use cases. This structure is made efficient by data engineering practices that include object storage. What is a data lake?