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Titlebook: Modern Data Engineering with Apache Spark; A Hands-On Guide for Scott Haines Book 2022 Scott Haines 2022 Apache Spark.Data Engineering.Data

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發(fā)表于 2025-3-21 18:03:59 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Modern Data Engineering with Apache Spark
副標(biāo)題A Hands-On Guide for
編輯Scott Haines
視頻videohttp://file.papertrans.cn/638/637076/637076.mp4
概述Provides a practical approach to data engineering through the lens of Apache Spark.Includes lessons from the author’s experience in managing massive data pipelines.Gives you a toolbox of solutions to
圖書封面Titlebook: Modern Data Engineering with Apache Spark; A Hands-On Guide for Scott Haines Book 2022 Scott Haines 2022 Apache Spark.Data Engineering.Data
描述Leverage Apache Spark within a modern data engineering ecosystem.?This hands-on guide will teach you how to write fully functional applications, follow industry best practices, and learn the rationale behind these decisions. With Apache Spark as the foundation, you will follow a step-by-step journey beginning with the basics of data ingestion, processing, and transformation, and ending up with an entire local data platform running Apache Spark, Apache Zeppelin, Apache Kafka, Redis, MySQL, Minio (S3), and Apache Airflow..Apache Spark applications solve a wide range of data problems from traditional data loading and processing to rich SQL-based analysis as well as complex machine learning workloads and even near real-time processing of streaming data. Spark fits well as a central foundation for any data engineering workload. This book will teach you to write interactive Spark applications using Apache Zeppelin notebooks, write and compilereusable applications and modules, and fully test both batch and streaming. You will also learn to containerize your applications using Docker and run and deploy your Spark applications using a variety of tools such as Apache Airflow, Docker and Kube
出版日期Book 2022
關(guān)鍵詞Apache Spark; Data Engineering; Data Modeling; Data Pipelines; Data Architecture; Streaming Data; Big Data
版次1
doihttps://doi.org/10.1007/978-1-4842-7452-1
isbn_softcover978-1-4842-7451-4
isbn_ebook978-1-4842-7452-1
copyrightScott Haines 2022
The information of publication is updating

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https://doi.org/10.1007/978-1-4842-7452-1Apache Spark; Data Engineering; Data Modeling; Data Pipelines; Data Architecture; Streaming Data; Big Data
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Scott HainesProvides a practical approach to data engineering through the lens of Apache Spark.Includes lessons from the author’s experience in managing massive data pipelines.Gives you a toolbox of solutions to
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Book 2022w industry best practices, and learn the rationale behind these decisions. With Apache Spark as the foundation, you will follow a step-by-step journey beginning with the basics of data ingestion, processing, and transformation, and ending up with an entire local data platform running Apache Spark, A
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massive data pipelines.Gives you a toolbox of solutions to Leverage Apache Spark within a modern data engineering ecosystem.?This hands-on guide will teach you how to write fully functional applications, follow industry best practices, and learn the rationale behind these decisions. With Apache Spa
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Risk Assessment and Management Strategies at Local Level,local authorities responsible for objects of cultural heritage. All of them have their benefits and usually a combined use of some of them can be an efficient tool in the efforts of reducing the risk and consequently the maintenance cost. The chapter examines ways that mapping and modelling can be u
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LTspice Essentials,omponent values, followed by the Monte Carlo analysis to assign random value. Finally we have a nice-to-know survey of the analytical methods that can be used in SPICE such as Euler, backward Euler, trapezoidal, Gear and Newton-Raphson methods and their limitations.
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Introduction: Why a White Christ , to Be Racist: The Legacy of Albert B. Cleage Jr.,anhood, motherhood? LGBTQ communities? How has Cleage’s theology influenced Christian education, Africana pastoral theology, and the Black Arts Movement? The contributors to this work discuss answers to these and many more questions.
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