Big Data Processing Projects

When deciding between Apache Flink, Apache Spark, Apache Beam, Apache Hadoop, and Dask for big data processing: Opt for Flink if your primary focus is on real-time stream processing with stateful computations. Choose Spark for general data processing, especially when dealing with large-scale data that requires both batch and stream processing capabilities. Beam is best when you need a unified programming model with flexibility in deployment across different processing backends. Choose Hadoop for cost-effective, reliable storage and processing of very large datasets with batch processing. Dask is ideal for scaling Python-specific data processing workflows, especially when working with familiar tools like Pandas, NumPy, or Scikit-learn.