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Databricks DLT with @dp: A Complete Guide to Streaming and Batch Processing
Learn how to use Databricks Lakeflow Declarative Pipelines with @dp for streaming tables and materialized views. Includes architecture, examples, and deployment steps. Read More ⇢
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AI Agents for Beginners: Everything You Need to Know
Learn what AI agents are, how they work, their benefits, use cases, frameworks, and future trends in this complete beginner-friendly guide. Read More ⇢
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Quick SQL Interview Questions for Data Engineers (Little Tricky)
Prepare for Data Engineer interviews with quick SQL interview questions, tricky SQL queries, table creation scripts, joins, window functions, ranking, duplicate records, latest row logic, and real-world examples Read More ⇢
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AWS Glue Crawler Issue with Dynamic S3 Folder Paths? Here’s the Complete Fix
Learn how to fix AWS Glue crawler issues when S3 paths contain dynamically changing folders like hash values or UUIDs. Step-by-step beginner-friendly guide. Read More ⇢
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How to Create a Generic Stored Procedure for KPI Calculation (SQL + AWS Lambda)
In modern data engineering, building scalable and reusable systems is essential. Writing separate SQL queries for every KPI quickly becomes messy and hard to maintain. A better approach?👉 Use a Generic Stored Procedure powered by Dynamic SQL, and trigger it using AWS Lambda. In this blog, you’ll learn: What is… Read More ⇢
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Unlocking the Power of Databricks Genie: A Comprehensive Guide
Databricks Genie is a collaborative data engineering tool built on the Databricks Unified Analytics Platform, enhancing data analytics for businesses. Key features include collaborative workspaces, efficient data processing with Apache Spark, built-in machine learning capabilities, robust data visualization, seamless integration, and strong security measures, fostering informed decision-making. Read More ⇢
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Secure S3 File Upload Using API Gateway, Lambda & PostgreSQL (Complete AWS Architecture Guide
Modern applications often allow users to upload files—documents, invoices, images, or datasets. But a production-grade upload pipeline must be secure, scalable, and well-organized. In this article, we will build a complete end-to-end architecture where: We will implement this using Amazon API Gateway, AWS Lambda, PostgreSQL, and Amazon S3. This architecture… Read More ⇢
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AI Agents in Data Engineering: Everything You Need to Know
AI agents are revolutionizing data engineering by automating tasks such as monitoring pipelines, generating SQL queries, and ensuring data quality. They enhance productivity, speed up troubleshooting, and improve data accessibility for users. While offering significant advantages, AI agents also face challenges in security, accuracy, and integration with existing systems. Read More ⇢
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The End-to-End AI Stack – A Real Guide for Developers to Code, Create, and Execute
Artificial Intelligence tools are on the rise, from writing assistants to coding helpers and automation platforms. However, many professionals struggle to compare these tools effectively. This is where the AI Stack becomes important. Modern AI tools like ChatGPT, NotebookLM, and Antigravity serve different purposes, and understanding their roles helps in:… Read More ⇢
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