HBase Training
Introduction to HBase
Gain an understanding of HBase, a distributed, scalable, and high-performance NoSQL database built on top of Hadoop. Learn about its architecture, use cases, and how it fits into the Hadoop ecosystem.
Getting Started with HBase
Learn how to set up and configure HBase. Understand the installation process, basic commands, and how to start using HBase for storing and retrieving data.
HBase Architecture and Data Model
Explore HBase's architecture, including its master-slave model and data storage structure. Learn about HBase tables, column families, and the concept of rows and cells in the HBase data model.
Working with HBase Tables
Discover how to create, modify, and manage HBase tables. Learn about table schemas, column families, and how to use HBase commands to interact with your tables.
Data Operations in HBase
Learn how to perform data operations in HBase, including inserting, updating, deleting, and scanning data. Understand how to use the HBase shell and APIs for these operations.
HBase Client API
Explore the HBase client API for interacting with HBase programmatically. Learn how to use Java APIs and other client libraries to perform CRUD operations and manage data in HBase.
Performance Tuning and Optimization
Understand how to optimize the performance of HBase. Learn about strategies for tuning HBase configurations, managing regions, and optimizing read and write operations for better performance.
HBase and Hadoop Integration
Discover how HBase integrates with Hadoop. Learn about the role of HBase in the Hadoop ecosystem, including its use with HDFS for storage and integration with MapReduce for processing.
Backup and Recovery in HBase
Learn best practices for backing up and recovering HBase data. Explore methods for creating backups, restoring data, and ensuring data integrity and availability.
Monitoring and Troubleshooting HBase
Explore techniques for monitoring and troubleshooting HBase. Learn how to use HBase monitoring tools, interpret logs, and diagnose and resolve common issues.
Hands-On Labs and Projects
Engage in hands-on labs and projects to apply your knowledge of HBase. Work on real-world scenarios to develop practical skills in managing and optimizing HBase databases.
HBase Syllabus
1: Introduction to Hadoop and HBase
- Introducing Hadoop
- Overview of Hadoop
- Core Hadoop Components
- What Is HBase?
- Overview of HBase
- Why Use HBase?
- Strengths of HBase
- Scalability
- Flexibility
- HBase in Production
- Real-World Use Cases
- Considerations for Production
- Weaknesses of HBase
- Challenges and Limitations
2: HBase Tables
- HBase Concepts
- Basic Terminology
- How HBase Stores Data
- HBase Table Fundamentals
- Table Structure
- Column Families and Columns
- Thinking About Table Design
- Design Principles
- Best Practices for Table Design
3: HBase Shell
- Creating Tables with the HBase Shell
- Shell Commands for Table Creation
- Working with Tables
- Table Operations
- Managing Table Metadata
- Working with Table Data
- Data Insertion
- Data Retrieval and Manipulation
4: HBase Architecture Fundamentals
- HBase Regions
- Region Concept
- Region Splitting and Merging
- HBase Cluster Architecture
- Master and RegionServer Roles
- Components of an HBase Cluster
- HBase and HDFS Data Locality
- Integration with HDFS
- Data Locality and Performance
5: HBase Schema Design
- General Design Considerations
- Schema Design Principles
- Performance Implications
- Application-Centric Design
- Designing for Specific Use Cases
- Examples of Application-Centric Design
- Designing HBase Row Keys
- Row Key Structure
- Best Practices for Row Key Design
- Other HBase Table Features
- Table Attributes
- Advanced Features
6: Basic Data Access with the HBase API
- Options to Access HBase Data
- Using the HBase API
- Alternatives to the API
- Creating and Deleting HBase Tables
- Table Management Operations
- Retrieving Data with Get
- Using the Get API
- Handling Get Results
- Retrieving Data with Scan
- Using the Scan API
- Managing Scan Operations
- Inserting and Updating Data
- Data Manipulation Operations
- Handling Data Changes
- Deleting Data
- Data Deletion Operations
- Handling Deletions
7: More Advanced HBase API Features
- Filtering Scans
- Using Filters
- Optimizing Filter Usage
- Best Practices
- Optimizing API Usage
- Common Pitfalls
- HBase Coprocessors
- Introduction to Coprocessors
- Types and Use Cases
8: HBase Write Path
- HBase Write Path
- Overview of the Write Path
- Write Operations
- Compaction
- Understanding Compaction
- Compaction Strategies
- Splits
- Region Splits
- Managing Splits
9: HBase Read Path
- How HBase Reads Data
- Read Operations Overview
- Data Retrieval Mechanisms
- Block Caches for Reading
- Block Cache Usage
- Configuring Block Caches
10: HBase Performance Tuning
- Column Family Considerations
- Optimizing Column Families
- Configuration Options
- Schema Design Considerations
- Impact on Performance
- Best Practices
- Configuring for Caching
- Cache Configuration
- Cache Management
- Memory Considerations
- Memory Management
- Memory Configuration
- Dealing with Time Series and Sequential Data
- Optimizing for Time Series Data
- Managing Sequential Data
- Pre-Splitting Regions
- Benefits of Pre-Splitting
- Implementation
11: HBase Administration and Cluster Management
- HBase Daemons
- Roles and Responsibilities
- Managing Daemons
- ZooKeeper Considerations
- Role of ZooKeeper
- ZooKeeper Configuration
- HBase High Availability
- High Availability Setup
- Failover Mechanisms
- Using the HBase Balancer
- Balancer Functionality
- Configuring the Balancer
- Fixing Tables with hbck
- Introduction to hbck
- Using hbck for Table Repair
- HBase Security
- Security Features
- Configuring Security
12: HBase Replication and Backup
- HBase Replication
- Replication Overview
- Configuring Replication
- HBase Backup
- Backup Strategies
- Performing Backups
- MapReduce and HBase Clusters
- Integration with MapReduce
- Running MapReduce Jobs
13: Using Hive and Impala with HBase
- How to Use Hive and Impala to Access HBase
- Integrating Hive with HBase
- Using Impala for HBase Queries
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details