Real-Time Big Data Access using HBase: Boosting Performance
- Offered byCoursera
Real-Time Big Data Access using HBase: Boosting Performance at Coursera Overview
Duration | 22 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
Real-Time Big Data Access using HBase: Boosting Performance at Coursera Highlights
- Earn a certificate from LearnQuest
- Add to your LinkedIn profile
- September 2023
- 12 quizzes
Real-Time Big Data Access using HBase: Boosting Performance at Coursera Course details
- In the world of big data, the significant growth in both the sheer volume and variety of data has presented significant challenges. Apache HBase has emerged as a robust and scalable solution. HBase is a powerful, distributed, and scalable NoSQL database designed to handle large amounts of data while maintaining high performance.
- In this introductory course, you will explore the fundamental concepts of HBase and its significance in handling real-time data processing and analysis.
- Topics covered in this course include:
- -Fundamentals of HBase
- -Schema Design in HBase
- -HBase Cluster Setup, Monitoring, and Backup
- -HBase Querying and Retrieval Basics
- -Advanced HBase Querying Techniques
- -Batch Operations and Data Manipulation
- -Data Modeling for Real-Time Applications
- -Deployment Strategies for Real-Time Applications
- -Scalability and Availability in Real-Time Applications
- This course includes video lectures, video demonstrations, as well as hands-on application in a lab environment. By the end of this course, you will be able to design efficient HBase schemas, set up and optimize HBase clusters, perform data operations, and evaluate the proper application of HBase in real-time scenarios while considering scalability and effective deployment strategies.
Real-Time Big Data Access using HBase: Boosting Performance at Coursera Curriculum
Introduction to HBase
Welcome to the Course
Lecture 1: Harnessing the Power of NoSQL Databases
Lecture 2: Exploring the Dynamic Duo of HDFS and HBase
Lecture 3: Comparing HBase with Other Database Technologies in the Big Data Landscape
Lecture 4: Exploring HBase Architecture and Components
Lecture 5: Exploring the Power of Effective Data Modeling and Schema Design in HBase
Instructor Demo: Using HBase Data Modeling in HBase Schema Design
Lab Walkthrough: HBase Schema Design for a Given Use Case
Instructor Demo: Setting up an HBase Cluster
Lab Walkthrough: Set Up and Configure an HBase Cluster
Lecture 6: Best Practices for Monitoring and Backing up an HBase Cluster
Course Syllabus
HBase Architecture and Key Components
Monitoring and Ensuring Optimal Performance in HBase
HBase Overview
HBase Schema Design
HBase Cluster Setup, Monitoring, and Backup
Exam 1
Comparing HBase to MongoDB and Apache Cassandra in Big Data
Design and Implement an HBase Schema
Set Up and Configure an HBase Cluster
Activity: NoSQL Database Types
Activity: Best Practices for Backup and Recovery
HBase Querying and Data Access
Lecture 7: Importing Data from Your Database to HBase using Sqoop
Instructor Demo: Import Data from your Database to HBase using Sqoop
Lecture 8: Exploring HBase Querying Techniques
Instructor Demo: Using Scans, Filters, and Get Requests
Lab Walkthrough: Construct HBase Queries Using Scans, Filters, and Get Requests
Lecture 9: Advanced HBase Querying using Java Application
Instructor Demo: Utilizing Cache and Scan Optimization Techniques
Lab Walkthrough: Optimize HBase Performance Using Caching and Scan Optimization
Lecture 10: Utilizing Batch Operations in HBase for Improved Performance
Instructor Demo: Using HBase Batch Operations
Lab Walkthrough: Manipulating Data In HBase Using Batch Operations
Streamlining Data Transfer and Implementing Efficient Filtering
Enhancing Table Scans and Reading Operations
HBase Querying and Retrieval Basics
Advanced HBase Querying and Performance Considerations
HBase Batch Operations and Data Manipulation
Exam 2
Construct HBase Queries
Optimize HBase Performance
Manipulating Data in HBase
Activity: Optimize Scans
HBase in Real-Time Applications
Lecture 11: Unleashing the Power of Real-time Applications
Lecture 12: Strategies for Designing an HBase Schema for Real-Time Applications
Lecture 13: Use Cases for Real-Time Data Processing and Analysis with HBase
Lab Walkthrough: Design and Implement an HBase Schema for a Real-Time Application
Lecture 14: Best Practices When Deploying HBase in a Real-Time Application
Instructor Demo: Techniques for Ensuring High Availability and Load Balancing in an HBase Cluster
Lab Walkthrough: Implementing Best Practices for Cluster Sizing, Network Topology, and Load Balancing
Lecture 15: Analyzing HBase Scalability and Limitations for Real-Time Applications
Instructor Demo: HBase Scalability and Availability in Real-Time Applications
Real-Time Data Processing
Deploying HBase in Real-Time Applications
HBase Data Modeling for Real-Time Applications
HBase Deployment Strategies for Real-Time Applications
HBase Scalability and Availability in Real-Time Applications
Exam 3
Design and Implement an HBase Schema for a Real-Time Application
Deploy HBase in a Real-Time Application Using Best Practices
Interactive Activity: Sharding and Load Balancing for Scalability
Real-Time Big Data Access using HBase: Boosting Performance at Coursera Admission Process
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