Tag: Basics
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Introduction to lakehouse architecture
The lakehouse architecture bridges the gap between data lakes and warehouses, providing unified governance, performance, and flexibility. This post introduces the core principles, benefits, and technologies behind lakehouses, explaining why they’ve become the foundation for modern data platforms in 2025.
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Introduction to data pipeline monitoring and alerting
A practical introduction to monitoring and alerting in data pipelines. Learn the core concepts, tools, and patterns that help engineers ensure reliability, detect failures early, and maintain confidence in their data systems.
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Introduction to data pipeline monitoring and alerting
A practical introduction to monitoring and alerting in data pipelines. Learn the core concepts, tools, and patterns that help engineers ensure reliability, detect failures early, and maintain confidence in their data systems.
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Introduction to developer productivity fundamentals
This post explores the core principles of developer productivity, from mindset and habits to tools and metrics. Learn how modern developers structure their environments, automate workflows, and maintain sustainable focus in 2025 to deliver better software faster and with less stress.
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Introduction to benchmarking in Python
Benchmarking is one of the most valuable skills for Python developers aiming to write efficient and scalable code. This post introduces the fundamentals of benchmarking in Python, from basic timing techniques to powerful libraries like timeit and pytest-benchmark.
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Introduction to GRASP design principles
GRASP (General Responsibility Assignment Software Patterns) defines how to distribute responsibilities across classes and objects for maintainable, scalable software. This article introduces the nine GRASP principles with real-world examples and modern framework applications for engineers in 2025.
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Introduction to stream processing concepts
Stream processing is at the core of real-time analytics and event-driven architectures. This article introduces stream processing concepts, explains key differences from batch processing, and highlights tools like Apache Kafka, Flink, and Materialize that enable continuous computation on live data streams.
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Introduction to infographics and visual learning for Python/ML
Visual learning is transforming how Python and machine learning practitioners communicate data and concepts. This post introduces infographics as a tool for better comprehension, exploring key libraries, design principles, and modern visualization workflows that enhance understanding and storytelling in data science.
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Introduction to technical teaching and mentorship
Technical teaching and mentorship are vital skills for modern engineers. This article introduces the fundamentals of mentoring, communicating complex ideas, and building structured learning paths in engineering environments. It offers practical methods and examples to develop others effectively in 2025 and beyond.
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Introduction to ETL and ELT patterns
ETL and ELT are core data integration patterns that define how organizations move, transform, and analyze information. This post introduces both approaches, their architectures, trade-offs, and modern tooling, helping data engineers understand when to apply each and how to align them with modern cloud-native practices.