Thu.Feb 06, 2025

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Where did TikTok’s software engineers go?

The Pragmatic Engineer

The past six months has been something of a Doomsday scenario-esque countdown for TikTok, as the start date of its ban in the US crept ever closer. In the event, TikTok  did indeed go offline  for a few hours on 19 January, before President Trump gave the social network a stay of execution lasting 75 days. How has this uncertainty affected software engineers at the Chinese-owned social network?

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New Year, New Approaches to Tackling IT Operations Management

Precisely

As businesses evolve and delivery speeds increase, IT operations teams face environments where downtime isn’t an option. The traditional ways of operations management are over modernization and holistic approaches are now essential. For IT operations (ITOps) teams, 2025 means reassessing technology stacks, processes, and people. Success in tackling modernization of IT operations management starts with assessing where your team is.

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Using Llama 3.2-Vision Locally: A Step-by-Step Guide

KDnuggets

Interact with the advanced multimodal Llama model locally through its intuitive user interface or powerful endpoint service.

IT 129
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Tackling Configuration: creating Lego-Like Flexibility for non developers

Picnic Engineering

In our previous blogs, we explored how Picnics Page Platform transformed the way we build new featuresenabling faster iteration, tighter collaboration and less feature-specific complexity. Advances we made there have been a major boost for productivity and allow us to focus on the things that actually deliver customer value. However, while focussing on our technical architecture, we havent yet discussed one major opportunity: bringing our commercial and customer teams into themix.

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A Guide to Debugging Apache Airflow® DAGs

In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

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FOX Sports Elevates the Fan Experience With Databricks

databricks

FOX Sports has a long history of driving the evolution of broadcast technology, from its high-definition coverage to experiments with virtual reality. Eventually.

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Data Engineering vs. Data Science

WeCloudData

We live in a highly data oriented world, thus it’s important to understand the key roles of the data ecosystem. Data scientists and engineers are two of the most important data professions and it is important to understand the difference between data engineering vs data science. At WeCloudData we specialize in preparing professionals for careers […] The post Data Engineering vs.

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Building High-Performance Machine Learning Models in Rust

KDnuggets

Rust offers unparalleled speed and memory safety. Using the Linfa library, developers can efficiently implement tasks like linear regression and k-means clustering.

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2024 Databricks GenAI World Cup Americas Winners: AdaptiveFilters by GreenLight Biosciences

databricks

GreenLight Biosciences participated in the Generative AI World Cup , a six-week hackathon hosted by Databricks to build an image processing agent that.

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Revolutionizing Failure Management in Apache Flink: Meet FLIP-304's Pluggable Failure Enrichers

Confluent

FLIP 304 lets you customize and enrich your Flink failure messaging: Assign types to failures, emit custom metrics per type, and expose your failure data to other tools.

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Key Challenges Affecting Data Transformations—Dev and Testing

Wayne Yaddow

Common challenges and practical mitigation strategies for reliable data transformations. Photo by Mika Baumeister on Unsplash Introduction Data transformations are important processes in data engineering, enabling organizations to structure, enrich, and integrate data for analytics , reporting, and operational decision-making. However, developing and testing robust data transformations presents significant challenges that can impact data accuracy, pipeline performance, and overall business outco

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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AIの転換点:2025年のヘルスケア・ライフサイエンス業界予測

Snowflake

AI202320242025AIAIAI SnowflakeCEOSridhar RamaswamySnowflakeAIYuxiong Xe Snowflake AI + Data Predictions 2025 AIAI AIAI Gains Ground with Breast Cancer Diagnosis and PreventionAIAI AI Snowflake AI + Data Predictions 2025 AIAI AI AIAI AI 2025AI 20256SnowflakeAIBaris GultekinBrad JonesAI

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The AI Tipping Point: 2025 Predictions for Healthcare & Life Sciences

Snowflake

AI is proving that its here to stay. While 2023 brought wonder and 2024 saw widespread experimentation, 2025 will be the year that healthcare and life sciences get serious about AI's applications. But its complicated: AI proofs of concept are graduating from the sandbox to production, just as some of AIs biggest cheerleaders are turning a bit dour. How to navigate such a landscape is top of mind for me and top executives such as Snowflakes CEO, Sridhar Ramaswamy; Snowflakes Distinguished AI Engi