Hands-On Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing
Hands-On Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing
Upon completing this book, you will have the knowledge and skills to seamlessly implement large-scale batch and streaming workloads to analyze real-time data streams with Apache Spark.
What You Will Learn
- Master the concepts of Spark clusters and batch data processing
- Understand data ingestion, transformation, and data storage
- Gain insight into essential stream processing concepts and different streaming architectures
- Implement streaming jobs and applications with Spark Streaming
Who This Book Is ForData engineers, data analysts, machine learning engineers, Python and R programmers
PRP: 371.94 Lei
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334.75Lei
334.75Lei
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Upon completing this book, you will have the knowledge and skills to seamlessly implement large-scale batch and streaming workloads to analyze real-time data streams with Apache Spark.
What You Will Learn
- Master the concepts of Spark clusters and batch data processing
- Understand data ingestion, transformation, and data storage
- Gain insight into essential stream processing concepts and different streaming architectures
- Implement streaming jobs and applications with Spark Streaming
Who This Book Is ForData engineers, data analysts, machine learning engineers, Python and R programmers
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