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  • AWS Glue Crawler Issue with Dynamic S3 Folder Paths? Here’s the Complete Fix

    Apr 19, 2026

    ·

    AWS
    AWS Glue Crawler Issue with Dynamic S3 Folder Paths? Here’s the Complete Fix
  • Top Databricks PySpark and AWS Questions for Senior Data Engineers

    Explore advanced Databricks PySpark and AWS interview questions with real-world answers. Learn about SCD Type 2, Medallion Architecture, Dynamic Partition Pruning, performance tuning, Delta Lake, and complex pipeline design to prepare for senior data engineering roles Read More ⇢

    Top Databricks PySpark and AWS Questions for Senior Data Engineers
  • Agentic AI Use Cases: How Businesses Are Using Autonomous AI Agents

    Discover how Agentic AI is applied in real-world domains like healthcare, finance, retail, education, and manufacturing. Learn its benefits, real use cases, and why businesses should adopt Agentic AI in 2025. Read More ⇢

    Agentic AI Use Cases: How Businesses Are Using Autonomous AI Agents
  • Step-by-Step Azure Data Factory Project for Data Engineers

    Build a mini project in Azure Data Factory (ADF) with this step-by-step tutorial. Learn key ADF terms—pipelines, datasets, linked services, activities, triggers, and integration runtimes—while creating a real-world ETL workflow. Read More ⇢

    Step-by-Step Azure Data Factory Project for Data Engineers
  • How Databricks Uses Cores and Memory for Efficient Big Data Processing

    Learn how Databricks clusters use memory, cores, and nodes to process big data. Includes a step-by-step 100GB data partitioning example for clarity. Read More ⇢

    How Databricks Uses Cores and Memory for Efficient Big Data Processing
  • Master the New PySpark Features and Functions in Spark 3.5

    Discover the latest PySpark functions and features in Spark 3.4 and 3.5, including Arrow-optimized UDFs, Python UDTFs, new array helpers, HyperLogLog aggregations, and enhanced streaming. Learn how to use them with practical examples. Read More ⇢

    Master the New PySpark Features and Functions in Spark 3.5
  • Top Strategy to Revise All Data Engineer Interview Questions Fast

    Discover a powerful method to recap all key Data Engineering interview questions in one go—covering SQL, Python, Spark, AWS, and more. Perfect guide for last-minute revision. Read More ⇢

    Top Strategy to Revise All Data Engineer Interview Questions Fast
  • Snowflake Tutorial for Beginners: Everything You Need to Get Started

    A beginner’s guide to Snowflake – learn what Snowflake is, how it works, its architecture, key features, and how to start using it effectively. Perfect for data professionals, analysts, and students. Read More ⇢

    Snowflake Tutorial for Beginners: Everything You Need to Get Started
  • AI/ML Pipeline Architecture Explained with Real Business Case

    Learn how to design and deploy a scalable end-to-end AI/ML pipeline for a real-world predictive analytics use case. Covers data collection, preprocessing, model training, deployment, and monitoring. Read More ⇢

    AI/ML Pipeline Architecture Explained with Real Business Case
  • The Most Confusing SQL Queries Made Easy (Beginner to Pro)

    Confused by SQL’s GROUP BY vs PARTITION BY, or how to use OVER and CASE with aggregations? This guide breaks down tricky SQL questions in simple language with easy examples. Read More ⇢

    The Most Confusing SQL Queries Made Easy (Beginner to Pro)
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