Apache HBase – NoSQL Database Course in Chennai

Module 1: Introduction to HBase and NoSQL Concepts

• NoSQL database categories: key-value, document, column-family, and graph
• Apache HBase overview: wide-column store built on HDFS
• HBase architecture: HMaster, RegionServer, ZooKeeper, and HDFS
• HBase use cases: time-series data, user profiles, and real-time lookups

Module 2: HBase Data Model

• HBase data model: tables, rows, column families, and qualifiers
• Row key design: importance and best practices for distribution
• Cells, timestamps, and versioning in HBase
• Sparse data storage: how HBase handles null values efficiently

Module 3: HBase Shell and CRUD Operations

• HBase Shell commands: create, list, describe, and alter
• Put, get, scan, and delete operations in HBase Shell
• Filtering scans: SingleColumnValueFilter, RowFilter, and PrefixFilter
• Counting rows and managing table regions from the shell

Module 4: HBase Java API

• Setting up HBase Java client and configuration
• Creating tables and column families programmatically
• Put, Get, Scan, and Delete operations with Java API
• Batch operations and ResultScanner for efficient data retrieval

Module 5: Row Key Design and Table Optimisation

• Row key anti-patterns: hotspotting and sequential key problems
• Row key strategies: salting, hashing, and field reversal
• Pre-splitting tables for even region distribution
• Bloom filters and block cache configuration for read optimisation

Module 6: HBase Compaction and Region Management

• Minor and major compaction: when and how they occur
• Manual compaction triggering and compaction policies
• Region splitting: automatic and manual split strategies
• Region balancing and HMaster load balancer configuration

Module 7: HBase Integration with Hadoop Ecosystem

• HBase and MapReduce: TableInputFormat and TableOutputFormat
• HBase and Spark: reading and writing HBase from Spark
• Phoenix: SQL layer on top of HBase for secondary indexing
• HBase and Kafka: change data capture with HBase replication

Module 8: Capstone Project and Assessment

• HBase schema design for a real-time user activity tracking system
• Java API CRUD application development and testing
• Performance optimisation: row key redesign and scan filtering
• Final assessment and course certification

Experience in the Industry Gain expertise from HBase engineers who have designed and operated wide-column stores for real-time data access, time-series storage, and operational analytics at internet-scale companies.

Backgrounds at the Top Our HBase trainers have built HBase-based data platforms at e-commerce companies, telecommunications providers, and financial institutions where millisecond random read access to big data is a critical requirement.

Clear & Effective Teaching HBase data model, row key design, shell operations, Java API, compaction, region management, and integration with Spark and Phoenix are explained clearly with real NoSQL database design examples.

Hands-On Learning Focus Students design HBase schemas, perform CRUD operations, write Java API applications, optimise row key design, and integrate with Spark through structured hands-on lab exercises.

Up-to-Date Knowledge Trainers keep content current with the latest Apache HBase releases, Apache Phoenix enhancements, cloud-managed HBase alternatives such as Google Bigtable, and evolving NoSQL data platform best practices.