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Complete Data Engineer Roadmap: Tools and Skills Explained
Discover the complete path to become a Data Engineer in 2025. Learn the essential tools, technologies, and platforms—like Spark, Kafka, Airflow, and cloud services—that power modern data pipelines and help you build a successful career in data engineering.” Read More ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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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 ⇢
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