Author: Eric Hanson
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Mastering System Design: An In-Depth Guide to Distributed Caching
Distributed caching is a cornerstone of modern data architecture and system design, providing the performance, scalability, and cost efficiency needed for today’s high-demand applications. By understanding its principles, use cases, and design strategies, teams can harness its potential to build robust and efficient systems.
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Mastering Search Algorithms in Python
Search algorithms are fundamental to computer science, used for finding elements in data structures efficiently. In this tutorial, we’ll cover essential search algorithms, from basic to advanced, using Python with challenge problems included.
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Transformative Data Leadership: Establishing a Strong Metadata Management Program
Successful metadata management ensures data quality, improves discoverability, enhances governance and enables business users and data teams to derive value from enterprise data assets efficiently. In this article I’ll lay out a plan and guidelines for building the metadata management plan and strategy to help you succeed in 2025 and going forward.
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The Essential Guide to Distributed Locking in Modern Systems
Understanding distributed locking in modern system design and why it’s a critical component to modern distributed system architecture
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Containers and Orchestration: Transforming Data Platform Engineering
Kubernetes orchestration combined with Docker containers have revolutionized the way data platform teams build platforms. Teams can build cloud-native data platforms with automated fault tolerance and scalability to meet changing demands for computing resources at ease. Together with cloud computing, data platforms are able to be more flexible and cost efficient than ever before.
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Elevate Your ETL with Jinja: Templating Techniques for Smarter Data Engineering
Explore Jinja templating and how it can enhance your data engineering workflows.