Comparing Big Data Processing: Hadoop, Spark, EMR, and Hudi

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Pragmatic AI Labs

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17,700

Published on January 20, 2024 5:57:36 AM ● Video Link: https://www.youtube.com/watch?v=Cwi24Rx_ysU

Duration: 25:29

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An overview of popular distributed big data processing frameworks like Hadoop, Spark, Amazon EMR, and the newer Apache Hudi. We compare capabilities around:\nBatch vs real-time data\nMapReduce vs in-memory caching\nBuilt-in fault tolerance\nSQL support\nManaged services vs self-hosted\nData lake integration\nRecord-level inserts/updates\nUnderstanding the strengths of each technology allows optimizing architecture for analytics use cases and data volumes. We explain how these platforms enable solving business problems at scale.\n\n\n\nHey readers 👋, if you enjoyed this content, I wanted to share some of my favorite resources to continue your learning journey in technology!\nHands-On Courses for Rust, Data, Cloud, AI and LLMs 🚀\n\nRust Programming Specialization: https://insight.paiml.com/qwh\nRust for DevOps: https://insight.paiml.com/x14\nRust LLMOps: https://insight.paiml.com/g3b\nRust Fundamentals: https://insight.paiml.com/qyt\nData Engineering with Rust: https://insight.paiml.com/zm1\nPython and Rust with Linux Command Line Tools: https://insight.paiml.com/jot\nVirtualization, Docker, and Kubernetes for Data Engineering: https://www.coursera.org/learn/virtualization-docker-kubernetes-data-engineering\nCloud Machine Learning Engineering and MLOps: https://www.coursera.org/learn/cloud-machine-learning-engineering-mlops-duke\nMLOps Tools: MLflow and Hugging Face: https://www.coursera.org/learn/mlops-mlflow-huggingface-duke\nData Visualization with Python: https://insight.paiml.com/y9p\nPython, Bash and SQL Essentials for Data Engineering Specialization: https://insight.paiml.com/2or\nLinux and Bash for Data Engineering: https://www.coursera.org/learn/linux-and-bash-for-data-engineering-duke\nSpark, Hadoop, and Snowflake for Data Engineering: https://insight.paiml.com/f6j\nCloud Virtualization, Containers and APIs: https://www.coursera.org/learn/cloud-virtualization-containers-api-duke\nCloud Data Engineering: https://www.coursera.org/learn/cloud-data-engineering-duke\nMLOps | Machine Learning Operations Specialization: https://insight.paiml.com/ohq\nPython Essentials for MLOps: https://insight.paiml.com/uvm\nDevOps, DataOps, MLOps: https://www.coursera.org/learn/devops-dataops-mlops-duke\nWeb Applications and Command-Line Tools for Data Engineering: https://www.coursera.org/learn/web-app-command-line-tools-for-data-engineering-duke\nMLOps Platforms: Amazon SageMaker and Azure ML: https://www.coursera.org/learn/mlops-aws-azure-duke\nScripting with Python and SQL for Data Engineering: https://www.coursera.org/learn/scripting-with-python-sql-for-data-engineering-duke\nPython and Pandas for Data Engineering: https://www.coursera.org/learn/python-and-pandas-for-data-engineering-duke\nCloud Computing Foundations: https://insight.paiml.com/zrb\nBuilding Cloud Computing Solutions at Scale Specialization: https://insight.paiml.com/hrt