Description
About This Training
Apache HBase is a distributed, scalable, NoSQL database designed for real-time read/write access to large datasets. Built on top of HDFS, it brings low-latency random access to Hadoop-scale data. This course covers HBase architecture, data modeling, read/write internals, deployment, high availability, tuning, security, troubleshooting, and advanced topics like Phoenix, HBCK2, and YCSB benchmarking.
What Skills You Will Gain
- Understanding HBase architecture and its role in the Cloudera Operational Database
- Deploying and configuring HBase clusters for high availability
- Designing effective HBase schemas for scalable, real-time workloads
- Analyzing and optimizing HBase write and read paths
- Tuning HBase performance through memory management, caching, and compaction
- Securing HBase with authorization policies in Ranger
- Monitoring and troubleshooting clusters using HBCK2 and diagnostic tools
- Performing data backup, recovery, and cluster migration
- Querying HBase tables using Apache Phoenix and its advanced features
- Benchmarking performance with the YCSB tool
- Managing medium-sized objects (MOBs) efficiently
Who Should Take This Course?
This course is designed for administrators and data engineers who manage or support Apache HBase deployments in production environments. It is also valuable for DevOps professionals involved in performance tuning, monitoring, and troubleshooting databases. Prior experience with HDFS and ZooKeeper is recommended. Students must have Internet access to connect to the hands-on lab environments.
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DATE: September 2-4, 2026
9:30 - 17:30 (SGT TIMEZONE)
Virtual Classroom, APAC
Certificate
By completing/passing this course, you will attain the certificate Cloudera Course Completion
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