KDnuggets

NOVEMBER 27, 2024

Terrified of calculus but dream of being a data scientist? Breathe easy! Discover the surprising truth about math in data science and how you can succeed without being a math genius.

Data Science 144

Data Science Data 144

Towards Data Science

NOVEMBER 27, 2024

Anthropic Claude 3.

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Process Data Science Data Data Engineering 75

KDnuggets

NOVEMBER 27, 2024

Artificial Intelligence has become an integral part of modern software applications, as it is known to add extended functionalities to traditional applications. This tutorial will guide you on a simplistic approach to building an AI application.

Building 123

Building IT 123

Booking.com Engineering

NOVEMBER 27, 2024

All you need to know for a quick start with Domain DrivenDesign Created using DALLE In todays fast-paced development environment, organising code effectively is critical for building scalable, maintainable, and testable applications. While many developers rely on layered architecture, this often leads to challenges with tight coupling, domain leakage, and difficulty in testing.

Architecture 46

Architecture Database-centric Pipeline-centric Java 46

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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

Data Pipeline

KDnuggets

NOVEMBER 27, 2024

Could AI replace traditional software testers? Learn how Generative AI transforms their roles and supercharges testing efficiency without missing critical tests.

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DataKitchen

NOVEMBER 27, 2024

A Guide to the Six Types of Data Quality Dashboards Poor-quality data can derail operations, misguide strategies, and erode the trust of both customers and stakeholders. Data quality dashboards have emerged as indispensable tools, offering a clear window into the health of their data and enabling targeted actionable improvements. However, not all data quality dashboards are created equal.

Banking 86

Banking Data Datasets Retail 86