This is a bundled software offering with an additional charge for round-the-clock support, ensuring a guaranteed 24-hour response time.
Presenting a Hadoop 3 Big Data Stack on Alma Linux 8 image, preconfigured with essential system components including AWS CLI, AWS CloudWatch Agent, AWS Systems Manager Agent, Python 3, and Cloud-Init. A comprehensive user guide can be accessed in the Additional Resources section for detailed instructions. Upon first boot, all cloudimg offerings are automatically updated to apply the latest packages and security patches.
Hadoop 3 on Linux is a potent platform encompassing Apache Hive, Apache HBase, Apache Spark, Apache Pig, and Apache Zookeeper, designed for robust big data processing, analytics, and management. It empowers users to seamlessly process, store, and analyze large and intricate datasets.
The popularity of Hadoop 3 on Linux stems from its exceptional scalability, flexibility, and compatibility with diverse workloads. Its architecture supports effortless integration with various tools and technologies, making it an ideal choice for a wide array of data processing needs.
Notably, its open-source nature ensures accessibility to a vast community of developers and users. The extensive ecosystem of tools, libraries, and applications facilitates an easy initiation into big data processing and analytics.
Hadoop 3 on Linux allows users to achieve numerous objectives, including:
Effortless processing of large and intricate datasets.
Efficient parallel processing for rapid results.
Support for batch processing, interactive queries, and real-time data streaming.
Robust data storage and management utilizing HDFS and YARN.
Seamless integration with a multitude of tools and technologies.
Accommodation of multiple workloads and diverse use cases.
Provision of a scalable and flexible platform for big data processing and analytics.
Apache Hive 3.1.3
Apache HBase 2.4.15
Apache Pig 0.17
Apache Spark 3.3.2
Apache Zookeeper 3.7.1