Apache HBase is a distributed, scalable, and NoSQL database built on top of Hadoop's HDFS, designed for real-time read and write access to large datasets.
It is ideal for use cases requiring low-latency data access, such as IoT applications, social media analytics, or online transaction systems.
Learning Apache HBase is essential for professionals aspiring to work in the big data industry, as it is widely used in environments where high-speed data access and storage scalability are critical.
By mastering HBase, you enhance your expertise in handling unstructured data and real-time analytics, making you a strong candidate for roles like Big Data Engineer or Database Administrator.
A tutor can fast-track this learning process by offering hands-on training, personalized guidance, and insights into real-world applications, ensuring you quickly build the skills necessary to succeed in this competitive field.
Chapter 1: Big Data Fundamentals and Distributed NoSQL Databases
Lesson 1: Overview of Big Data and Its Challenges
Lesson 2: Introduction to Distributed Storage and Processing
Lesson 3: Survey of Big Data Tools and Frameworks
Lesson 4: Comparing NoSQL Databases: HBase vs. Others
Lesson 5: Real-World Applications and Use Cases
Chapter 2: Introduction to Apache HBase
Lesson 1: What is Apache HBase?
Lesson 2: History and Evolution of Apache HBase
Lesson 3: Key Features and Use Cases
Lesson 4: HBase Architecture Overview
Lesson 5: HBase vs. Hadoop/HDFS: Complementary Roles
Chapter 3: Installing and Setting Up Apache HBase
Lesson 1: System Requirements and Prerequisites
Lesson 2: Installation in Standalone Mode
Lesson 3: Setting Up HBase in a Distributed Cluster
Lesson 4: Configuration Files and Key Parameters
Lesson 5: HBase on Cloud Platforms
Lesson 6: IDE Integration for HBase Development
Chapter 4: HBase Data Model and Architecture Deep Dive
Lesson 1: HBase Data Model Fundamentals
Lesson 2: Underlying Storage Mechanisms
Lesson 3: Region Splitting, Load Balancing, and Data Distribution
Lesson 4: The Role of ZooKeeper in HBase
Lesson 5: Best Practices in Data Modeling for HBase
Chapter 5: Mastering HBase Shell Commands
Lesson 1: Introduction to the HBase Shell
Lesson 2: Basic Table Operations
Lesson 3: Data Manipulation in HBase Shell
Lesson 4: Advanced Shell Operations
Lesson 5: Scripting and Automation with HBase Shell
Chapter 6: Programming with Apache HBase
Lesson 1: HBase Java API Overview
Lesson 2: Establishing Connections and Basic CRUD Operations
Lesson 3: Working with Filters, Scans, and Advanced Queries
Lesson 4: Integration with Other Languages and REST/Thrift APIs
Lesson 5: HBase and Apache Spark Integration
Chapter 7: Performance Tuning and Optimization in HBase
Lesson 1: Tuning HBase Configuration for Performance
Lesson 2: Data Modeling Strategies for Optimized Performance
Lesson 3: Region Management: Splitting, Merging, and Load Balancing
Lesson 4: Monitoring Tools and Benchmarking Techniques
