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Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing - Couverture souple
- ÉditeurApress
- Date d'édition2023
- ISBN 10 1484293797
- ISBN 13 9781484293799
- ReliureBroché
- Langueanglais
- Numéro d'édition1
- Nombre de pages420
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Hands-on Guide to Apache Spark 3 : Build Scalable Computing Engines for Batch and Stream Data Processing
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Hands-On Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing (Paperback or Softback)
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Apress 6/6/2023, 2023
ISBN 10 : 1484293797
ISBN 13 : 9781484293799
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Paperback or Softback. Etat : New. Hands-On Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing 1.6. Book. N° de réf. du vendeur BBS-9781484293799
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Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing [Paperback] Antolfnez Garcfa, Alfonso
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Etat : New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! N° de réf. du vendeur OTF-S-9781484293799
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Hands-on Guide to Apache Spark 3 : Build Scalable Computing Engines for Batch and Stream Data Processing
Edité par
Apress, 2023
ISBN 10 : 1484293797
ISBN 13 : 9781484293799
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing
Edité par
Apress, 2023
ISBN 10 : 1484293797
ISBN 13 : 9781484293799
Neuf
paperback
Edition originale
Vendeur : Russell Books, Victoria, BC, Canada
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paperback. Etat : New. 1st ed. Special order direct from the distributor. N° de réf. du vendeur ING9781484293799
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Hands-on Guide to Apache Spark 3 : Build Scalable Computing Engines for Batch and Stream Data Processing
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Hands-on Guide to Apache Spark 3 : Build Scalable Computing Engines for Batch and Stream Data Processing
Edité par
Apress, 2023
ISBN 10 : 1484293797
ISBN 13 : 9781484293799
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 46102372
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Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing
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Hands-on Guide to Apache Spark 3: Build Scalable Computing Engines for Batch and Stream Data Processing
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Hands-on Guide to Apache Spark 3
impression à la demandeVendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book explains how to scale Apache Spark 3 to handle massive amounts of data, either via batch or streaming processing. It covers how to use Spark's structured APIs to perform complex data transformations and analyses you can use to implement end-to-end analytics workflows.This book covers Spark 3's new features, theoretical foundations, and application architecture. The first section introduces the Apache Spark ecosystem as a unified engine for large scale data analytics, and shows you how to run and fine-tune your first application in Spark. The second section centers on batch processing suited to end-of-cycle processing, and data ingestion through files and databases. It explains Spark DataFrame API as well as structured and unstructured data with Apache Spark. The last section deals with scalable, high-throughput, fault-tolerant streaming processing workloads to process real-time data. Here you'll learn about Apache Spark Streaming's execution model, the architecture of Spark Streaming, monitoring, reporting, and recovering Spark streaming. A full chapter is devoted to future directions for Spark Streaming. With real-world use cases, code snippets, and not Elektronisches Buch hosted on GitHub, this book will give you an understanding of large-scale data analysis concepts--and help you put them to use.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 LearnMaster the concepts of Spark clusters and batch data processingUnderstand data ingestion, transformation, and data storageGain insight into essential stream processing concepts and different streaming architecturesImplement streaming jobs and applications with Spark StreamingWho This Book Is ForData engineers, data analysts, machine learning engineers, Python and R programmers 420 pp. Englisch. N° de réf. du vendeur 9781484293799
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