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cloudimg presents this Hadoop 3 Big Data Stack on CentOS Stream 8 image preinstalled with system components such as Azure CLI, Python 3 & Cloud-Init. A comprehensive user guide can be found below. All cloudimg offerings are updated on first boot to ensure the latest packages and security updates are applied.

Hadoop 3 on Linux, comprising of Apache Hive, Apache HBase, Apache Spark, Apache Pig, and Apache Zookeeper, is a powerful and flexible platform for big data processing, analytics, and management. It allows users to process, store, and analyze large and complex datasets with ease.

One of the main reasons why Hadoop 3 on Linux is preferred over close competition is its high scalability, flexibility, and support for multiple workloads. Its architecture allows for easy integration with other tools and technologies, making it an ideal choice for diverse data processing requirements.

Another reason for its popularity is its open-source nature, which makes it accessible to a vast community of developers and users. It has a large ecosystem of tools, libraries, and applications, making it easy to get started with big data processing and analytics.

With Hadoop 3 on Linux, users can achieve various objectives, such as:

• Processing large and complex datasets with ease.
• Supporting parallel processing for quick results.
• Performing batch processing, interactive queries, and real-time data streaming.
• Storing and managing data using HDFS and YARN.
• Integrating with other tools and technologies.
• Supporting multiple workloads and use cases.
• Providing a scalable and flexible platform for big data processing and analytics.

Preinstalled Components:

• Java 1.8
• Hadoop 3.3.4
• Apache Hive 3.1.3
• Apache HBase 2.4.15
• Apache Pig 0.17
• Apache Spark 3.3.2
• Apache Zookeeper 3.7.1

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