Enroll now in our Apache HBase training course to gain hands-on knowledge through live interactive sessions, real-world projects, and expert mentorship. The course is fully aligned with the latest industry standards, enabling you to confidently design, implement, and manage scalable HBase solutions for large-scale data storage.
Prerequisites
- Basic programming knowledge
- Familiarity with Java (HBase API uses Java extensively)
- Basic knowledge of relational databases (tables, rows, columns, keys)
- Understanding of Hadoop HDFS architecture
What Will You Learn
- Overview of Big Data and NoSQL
- HBase architecture and components
- Understanding regions, region servers, and Zookeeper
- Setting up HBase in standalone, pseudo-distributed, and fully distributed modes
- Starting and stopping HBase services
- Tables, column families, and rows
- Designing efficient schemas for read/write performance
- Creating and deleting tables
- Scanning and retrieving data
- Introduction to Java API
- Batch operations and performance considerations
- Importing data using Sqoop
- MapReduce jobs with HBase as input/output
- Integration with Spark and other big data tools
- Monitoring HBase clusters
- Region splitting and compaction
- Managing user access and security
- Caching and block size tuning
