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Data Engineering

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What is Azure Data Factory?

Azure Data Factory is like a smart pipeline for moving data around. Think of it like having lots of data spread out in different places, like a bunch […]
  • Data Engineering, Data Ingestion, Azure Data Factory
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    Databricks vs Snowflake

    Databricks is a cloud-based platform that combines data engineering and data science with a focus on big data processing and machine learning. It's bu[…]
  • Data Engineering, Big Data
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    Streaming vs Batch Processing: When to Use What

    A comprehensive guide comparing streaming and batch processing approaches in modern data architectures. This article explores when to use each method,[…]
  • Data Engineering, Big Data, ETL
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    Delta Lake, Iceberg, and Hudi: Choosing the Right Table Format

    Compare Delta Lake, Apache Iceberg, and Apache Hudi for 2025. Learn which lakehouse table format fits your data architecture, scale, and real-time req[…]
  • Data Engineering, Data Analysis, Devops, Data Warehousing, Data Ingestion, Apache Spark, Azure DevOps
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    Fine-Tuning vs Prompt Engineering: Which Approach Delivers Better Results?

    Learn when to choose fine-tuning vs prompt engineering for your AI projects. Compare costs, performance, and implementation strategies to optimize lar[…]
  • Data Engineering, ETL, Data Lake, Artificial Intelligence (AI)