Best of Big Data — April 2025

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   Article

   Sysco LABS Sri Lanka·1y

   Event-Driven Architecture: How Enterprises Manage Billions of Events

   Event-Driven Architecture (EDA) is a software design pattern gaining popularity for managing Big Data, microservices, and real-time processing. EDA decouples services, enhancing scalability, resilience, and efficiency. It facilitates asynchronous communication through events, enabling systems to handle real-time data effectively. The post covers the benefits of EDA, its key components, real-world applications in companies like Sysco and Uber, and compares EDA with service mesh architecture. It also highlights the scalability, flexibility, and potential challenges of implementing EDA.

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2. 2
   Article

   Confluent Blog·1y

   The Future of AI Agents is Event-Driven

   AI agents are poised to transform enterprise operations by adopting event-driven architecture. This architectural approach addresses interoperability challenges and enhances scalability. EDA allows agents to operate independently, integrate seamlessly, and adapt workflows dynamically, overcoming the limitations of fixed workflows and tightly coupled systems. It ensures agents can effectively handle complex, interconnected tasks, thereby unlocking their full potential. The article highlights the importance of EDA in creating resilient, scalable AI systems and warns against the risks of outdated architecture in the evolving AI landscape.

   89

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3. 3
   Article

   Baeldung·1y

   Introduction to Apache Kylin

   Apache Kylin is an open-source OLAP engine designed for sub-second query performance on massive datasets. Initially developed by eBay and later managed by the Apache Software Foundation, it excels in handling high concurrency and integrates seamlessly with Hadoop and data lake platforms. Key features include multidimensional modeling, optimized indexing, and support for both batch and streaming data sources. The platform can be easily explored using Docker, allowing for straightforward setup, model creation, and CUBE building via SQL and REST API.

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4. 4
   Article

   Data Engineering·1y

   Data Engineering Vault: 1000+ Interconnected Concepts for Data Engineers

   The Data Engineering Vault is a curated collection of over 1,000 interconnected concepts designed to form a comprehensive knowledge base for data engineers. It includes detailed notes on the data engineering lifecycle, various data modeling approaches, modern data infrastructure, data transformation paradigms, analytics, and specialized techniques. The vault offers interconnected learning paths, historical context, practical applications, and recommendations for essential resources and thought leaders in the field.

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5. 5
   Video

   YouTube·1y

   SQL Full Course for Beginners (30 Hours) – From Zero to Hero

   The course, led by Barzalini, covers SQL from the basics to advanced techniques including window functions, stored procedures, and database optimization. Suitable for data engineers, analysts, scientists, and students, it offers extensive materials and is entirely free. The training includes step-by-step instructions, animated visuals for complex concepts, and practical projects such as data warehousing and analytics.

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