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Development

Featured in Development

Beyond the Breach: Proactive Defense in the Age of Advanced Threats

Michael Brunton-Spall discusses some of the most advanced attacks that are in the public domain, mostly attributed in public by commercial organizations.

All in development

Architecture & Design

Featured in Architecture & Design

Improving Developer Experience Using Automated Data CI/CD Pipelines

Noémi Ványi, Simona Pencea discuss a code and data branching strategy that basically allows your data to follow your code.

All in architecture-design

AI, ML & Data Engineering

Featured in AI, ML & Data Engineering

Efficient Resource Management with Small Language Models (SLMs) in Edge Computing

Small Language Models (SLMs) bring AI inference to the edge without overwhelming the resource-constrained devices. In this article, author Suruchi Shah dives into how SLMs can be used in edge computing applications for learning and adapting to patterns in real-time, reducing the computational burden and making edge devices smarter.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Trends in Engineering Leadership: Observability, Agile Backlash, and Building Autonomous Teams

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Chris Cooney about emerging trends in software engineering such as the backlash against "Agile" practices, the growing importance of observability and people-focused metrics, and strategies for aligning teams around common goals while still preserving their autonomy.

All in culture-methods

DevOps

Featured in DevOps

Proactive Approaches to Securing Linux Systems and Engineering Applications

Maintaining a strong security posture is challenging, especially with Linux. An effective approach is proactive and includes patch management, optimized resource allocation, and effective alerting.

All in devops

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Java

Oracle Releases GraalVM 1.0, a Polyglot Virtual Machine and Platform

Oracle has announced the 1.0 release of GraalVM, a polyglot virtual machine and platform. The initial release includes the capability to run Java and JVM languages (via bytecode) as well as full support for JavaScript and Node.JS, with beta support for Ruby, Python and R code.

Ben Evans
on Apr 27, 2018
AI, ML & Data Engineering

Revolution R Enterprise has been Rereleased as Microsoft R Server

Revolution Analytics’ flagship product, Revolution R Enterprise, has been rebranded as Microsoft R Server. In addition to Windows, Microsoft R Server runs on Linux (SUSE/Red Hat), Hadoop (Red Hat only), and Teradata DB.

Jonathan Allen
on Feb 12, 2016
AI, ML & Data Engineering

R for SQL Server 2016

SQL Server is add support for the statistical programming language R.

Jonathan Allen
on Feb 11, 2016
Revolution Analytics - Commercializing R for Statistics

InfoQ interviewed David Smith, VP of Community for Revolution Analytics at the Strata big data conference. Revolution provides commercial extensions for the open source R statistics package and announced the R Enterprise v4.2 Suite along with offering tools to help SAS users to migrate to R.

Ron Bodkin
on Feb 08, 2011

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