Target Audience for Cloudera Administrator Training: CDP Private Cloud Base
The Cloudera Administrator Training: CDP Private Cloud Base course equips IT professionals with essential skills for managing Cloudera Data Platforms.
Target Audience for the Cloudera Administrator Training:
- IT Systems Administrators
- Data Infrastructure Engineers
- Cloud Infrastructure Managers
- Big Data Architects
- Database Administrators
- Data Engineers
- DevOps Engineers
- Technical Operations Teams
- Security Engineers
- IT Operations Staff
- Hadoop Administrators
- Enterprise Architects
- Systems Analysts and Designers who plan and design Hadoop clusters
- Technical Support Engineers
- IT Managers overseeing big data projects
Learning Objectives - What you will Learn in this Cloudera Administrator Training: CDP Private Cloud Base?
Introduction to the Course’s Learning Outcomes and Concepts Covered
Gain critical skills in managing and configuring Cloudera Data Platform (CDP) Private Cloud Base with this comprehensive course, focusing on the essentials of big data management, security, and cluster maintenance.
Learning Objectives and Outcomes
- Understand the current industry trends in big data and the importance of data-driven decision making.
- Learn the key capabilities and form factors of the Cloudera Data Platform (CDP).
- Install and configure Cloudera Manager and CDP Runtime for optimal performance and reliability.
- Configure and manage HDFS, HBase, and Kudu storage solutions, ensuring data performance and fault tolerance.
- Master data ingestion techniques using tools like Apache Sqoop, NiFi, and best practices for importing data into the cluster.
- Navigate data flow management with a thorough understanding of Cloudera Flow Management, NiFi, Apache Kafka, and their respective architectures.
- Access and discover data efficiently using Apache Hive, Impala, and Hue, and understand the configuration for user authentication and authorization.
- Optimize data compute operations using YARN, MapReduce, Tez, Hive on Tez, and Apache Spark, and manage resources effectively.
- Plan and size a cluster appropriately by considering hardware, network, and CDP Private Cloud specifications.
- Implement advanced cluster security measures including Kerberos authentication, Hadoop authorization, encryption, and using Apache Ranger and Atlas for comprehensive data governance.
