RiseUpp Logo
Educator Logo

Real-Time Big Data Access using HBase

Master HBase for real-time big data processing. Learn cluster setup, schema design, and optimization techniques for handling large-scale data.

Master HBase for real-time big data processing. Learn cluster setup, schema design, and optimization techniques for handling large-scale data.

This comprehensive course focuses on Apache HBase, a powerful NoSQL database designed for real-time big data processing. Students learn fundamental concepts including HBase architecture, schema design, and cluster setup. The curriculum covers advanced topics such as querying techniques, batch operations, and performance optimization. Through hands-on labs and demonstrations, participants gain practical experience in designing efficient schemas, implementing real-time applications, and ensuring scalability. The course emphasizes best practices for deployment, monitoring, and backup strategies, preparing students for real-world big data challenges.

175 already enrolled

Instructors:

English

Powered by

Provider Logo
Real-Time Big Data Access using HBase

This course includes

22 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,436

What you'll learn

  • Master HBase architecture and fundamental concepts

  • Design and implement efficient HBase schemas

  • Set up and optimize HBase clusters

  • Develop advanced querying techniques using Java

  • Implement batch operations for improved performance

  • Design and deploy real-time applications

Skills you'll gain

HBase
NoSQL
big data
real-time processing
data modeling
schema design
cluster management
Java
HDFS
performance optimization

This course includes:

230 Minutes PreRecorded video

12 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Closed caption

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Created by

Provided by

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 3 modules in this course

This comprehensive course covers the fundamentals and advanced aspects of using Apache HBase for real-time big data processing. The curriculum is structured around three main areas: HBase fundamentals and architecture, querying and data access techniques, and real-time application implementation. Students learn through a combination of theoretical concepts and practical applications, including cluster setup, schema design, data modeling, and performance optimization. The course emphasizes hands-on experience through lab exercises and demonstrations, ensuring students can apply their knowledge in real-world scenarios.

Introduction to HBase

Module 1 · 7 Hours to complete

HBase Querying and Data Access

Module 2 · 8 Hours to complete

HBase in Real-Time Applications

Module 3 · 6 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Sandeep Agarwal
Sandeep Agarwal

187 Students

1 Course

Instructor

More than 25 years of experience in Information Technology and extensive hands-on, in-application development involving analysis, design, development, and maintenance.

Real-Time Big Data Access using HBase

This course includes

22 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,436

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.