| Start | End | Duration | Location | Details |
|---|---|---|---|---|
| February 02, 2025 | February 05, 2025 | 4 day(s) | Virtual Classroom (GMT+8:00) | |
| April 13, 2025 | April 16, 2025 | 4 day(s) | Virtual Classroom (GMT+8:00) | |
| February 02, 2026 | February 05, 2026 | 4 day(s) | Virtual Classroom (GMT+8:00) | |
| April 13, 2026 | April 16, 2026 | 4 day(s) | Virtual Classroom (GMT+8:00) |
Cloudera Apache Hadoop Administration
Duration: 4 Days
Course Code: CLD-Adm
Course Description:
The Cloudera Apache Hadoop Administration course is an in-depth training program designed to equip learners with the skills and knowledge required to effectively manage and maintain Cloudera clusters. The curriculum covers the fundamentals of the Cloudera Enterprise Data Hub, including its installation, configuration, and management. Starting with Module 1, learners are introduced to the basics of Hadoop and the ecosystem. As they progress through the course, they will delve into Module 2, learning about the components and capabilities of the Cloudera Enterprise Data Hub. In Modules 3 to 5, students will gain hands-on experience with installing Cloudera Manager and CDH, configuring a Cloudera cluster, and understanding the intricacies of the Hadoop Distributed File System (HDFS). Further modules like Module 6 on HDFS data ingest and Module 7 focusing on Hive and Impala provide practical insights into data management. Module 8 and Module 9 introduce learners to YARN, MapReduce, and Apache Spark, which are pivotal for big data processing. Module 10 helps in planning a cluster, and Module 11 offers advanced configuration techniques. Module 12 is about managing resources, while Module 13 and Module 14 focus on cluster maintenance and monitoring, respectively. Module 15 helps learners develop troubleshooting skills, and Module 16 covers the installation and management of Hue. Finally, Module 17 addresses critical aspects of security within Hadoop clusters. This course will assist learners in acquiring the expertise required to manage Cloudera environments effectively, ensuring high performance, reliability, and security of big data solutions.