Mon.Jan 13, 2025

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Data Products 101: Everything You Need to Know

Monte Carlo

Twenty years ago, data was little more than fuel for forecasting. A few marketing insights here. A couple financial reports there. Today, data doesnt simply support your productsmore often than not, it is the product. In the age of AI, data isnt just another cost centerits a value creator. Data teams arent service providerstheyre essential technology partners.

Data 52
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How I Would Learn Python in 2025 (If I Could Start Over)

KDnuggets

Ive been programming with Python for over 6 years now. But if I could start over, heres how Id go about learning Python in 2025.

Python 140
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Developing vAirify for the ECMWF by Benjamin Ell-Jones

Scott Logic

From crafting logos to leading stand-ups, my journey with vAirify wasnt just about codeit was a crash course in full-stack development, cross-organizational collaboration, and the art of turning weather data into actionable insights. As a recently promoted developer who began as a freshly trained associate, my experience was initially limited to the graduate projectan internal project designed to provide new graduates with practical development experience.

Python 52
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Complete Guide to Cross-Validation

KDnuggets

This guide will explore the ins and outs of cross-validation, examine its different methods, and discuss why it matters in today's data science and machine learning processes.

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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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IAG & Kmart: The Business Impact of Data Streaming in Australia & New Zealand

Confluent

Discover how Confluent has transformed data management for Kmart and IAG in Australia and New Zealand with its real-time data streaming platform.

Data 40
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Customer Experience Trends in 2025: A Special Guide for Regulated Industries

Precisely

As we approach 2025, the customer experience (CX) landscape is evolving rapidly, driven by technological innovation, heightened consumer expectations, and a growing emphasis on trust and compliance. For regulated industries such as healthcare, insurance, and financial services, the stakes are especially high. These organizations operate in complex ecosystems where delivering exceptional CX must align with stringent regulatory requirements and the need for data security.

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Bridging the gap: A future-proof approach to identifier migration in complex systems

Picnic Engineering

Over the years, Picnic has achieved multiple milestones and overcome numerous challenges. Our warehouses continue to expand, our product assortment grows, and we now deliver goods to even more families. Behind this growth lies a complex network of interconnected systems, all working together to support our operations. At the core of this intricate ecosystem are certain fundamental concepts that drive consistency and reliability across all oursystems.

Systems 72
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How Optimizing Memory Management with LMDB Boosted Performance on Our API Service

Pinterest Engineering

Angel Vargas | Software Engineer, API Platform; Swati Kumar | Software Engineer, API Platform; Chris Bunting | Engineering Manager, APIPlatform The inside of the Pinterest lobby in Mexico City, showing a patterned ceiling, a receptionist deck with a plant on it, a light above it, and a gallery of images of pins youd find on Pinterest, behind it. To the left, a glowing Pinterest P sign hovers in front of a glasswall.