Apache Hadoop的终极大数据分析：使用Apache Spark掌握Apache Hadoop的大数据分析
Master the Hadoop Ecosystem and Build Scalable Analytics SystemsBook DescriptionIn a rapidly evolving Big Data job market projected to grow by 28% through 2026 and with salaries reaching up to $150,000 annually—mastering big data analytics with the Hadoop ecosystem is most sought after for career advancement. The Ultimate Big Data Analytics with Apache Hadoop is an indispensable companion offering in-depth knowledge and practical skills needed to excel in today's data-driven landscape.The book begins laying a strong foundation with an overview of data lakes, data warehouses, and related concepts. It then delves into core Hadoop components such as HDFS, YARN, MapReduce, and Apache Tez, offering a blend of theory and practical exercises.You will gain hands-on experience with query engines like Apache Hive and Apache Spark, as well as file and table formats such as ORC, Parquet, Avro, Iceberg, Hudi, and Delta. Detailed instructions on installing and configuring clusters with Docker are included, along with big data visualization and statistical analysis using Python.Given the growing importance of scalable data pipelines, this book equips data engineers, analysts, and big data professionals with practical skills to set up, manage, and optimize data pipelines, and to apply machine learning techniques effectively.
中文|2024|8197396574|352页|Epub PDF（均转换）|24 MB掌握Hadoop生态系统并构建可扩展的分析系统书籍描述在快速发展的大数据就业市场中，预计到2026年将增长28%，年薪高达150000美元——掌握Hadoop生态系统的大数据分析是职业发展最受欢迎的。Apache Hadoop的终极大数据分析是一个不可或缺的伴侣，提供在当今数据驱动的环境中脱颖而出所需的深入知识和实践技能。本书首先概述了数据湖、数据仓库和相关概念，从而奠定了坚实的基础。然后，它深入研究了核心Hadoop组件，如HDFS、YARN、MapReduce和Apache Tez，提供了理论和实践练习的结合。您将获得Apache Hive和Apache Spark等查询引擎的实践经验，以及ORC、Parquet、Avro、Iceberg、Hudi和Delta等文件和表格式。包括使用Docker安装和配置集群的详细说明，以及使用Python进行大数据可视化和统计分析。鉴于可扩展数据管道的重要性日益增加，本书为数据工程师、分析师和大数据专业人员提供了建立、管理和优化数据管道以及有效应用机器学习技术的实用技能。本站不对文件进行储存，仅提供文件链接，请自行下载，本站不对文件内容负责，请自行判断文件是否安全，如发现文件有侵权行为，请联系管理员删除。
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