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Ultimate Big Data Analytics with Apache Hadoop

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Title: Ultimate Big Data Analytics with Apache Hadoop
Description: In 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. Don't miss out on the opportunity to become a leader in the big data field to unlock the full potential of big data analytics with Hadoop.
Authors: Simhadri Govindappa
Resource Type: eBook.
Subjects: Electronic data processing--Distributed processing, Cloud computing, Data mining, Database management
Categories: COMPUTERS / Distributed Systems / General
Database: eBook Collection (EBSCOhost)
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  Data: In 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. Don't miss out on the opportunity to become a leader in the big data field to unlock the full potential of big data analytics with Hadoop.
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      – Code: 005.7
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Electronic data processing--Distributed processing
        Type: general
      – SubjectFull: Cloud computing
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Database management
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      – TitleFull: Ultimate Big Data Analytics with Apache Hadoop
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            – D: 01
              M: 01
              Type: published
              Y: 2024
            – D: 10
              M: 07
              Type: profile
              Y: 2025
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