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Giving more tools to software engineers: the reorganization of the factory

Erik Bernhardsson

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. Not to mention the changes in developer processes : Unit tests were really rare in the industry — I first encountered it working at Google in 2006.

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

The inference pipeline is powered by an AWS Lambda -based multi-step architecture, which maximizes cost-efficiency and elasticity by running independent image analysis steps in parallel. He leads a product-engineering team responsible for transforming Mixbook into a place for heartfelt storytelling. DJ Charles is the CTO at Mixbook.

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The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. How data engineering works in a nutshell.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

Altexsoft

On top of that, new technologies are constantly being developed to store and process Big Data allowing data engineers to discover more efficient ways to integrate and use that data. You may also want to watch our video about data engineering: A short video explaining how data engineering works.

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Beyond Hadoop

Kentik

Clustered computing for real-time Big Data analytics. The concept of parallel processing based on a “clustered” multi-computer architecture has a long history dating back at least as far as Gene Amdahl’s work at IBM in the 1960s. For more on how we make it work, see Inside the Kentik Data Engine.).

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Top 15 AI Development Companies to Watch for in 2025

Openxcell

The company offers a wide range of AI Development services, such as Generative AI services, Custom LLM development , AI App Development , Data Engineering , GPT Integration , and more. Apart from AI, they also offer game development, data engineering, chatbot development, software development, etc.

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Building Successful Machine Learning Foundations in Enterprises—A Practitioner’s Viewpoint

Coforge

In the digital communities that we live in, storage is virtually free and our garrulous species is generating and storing data like never before. And, with exponentially increasing computing power and newer chip architectures, Machine Learning (ML) has emerged as a powerful technique for building models over Big Data to predict outcomes.