Apache HBase Course Overview

Apache HBase is a NoSQL database that runs on top of the Apache Hadoop Distributed File System. It is a distributed and scalable Big Data store that supports real-time reads/writes to store large amounts of structured data. This Apache HBase course provides deep-level details on the use of HBase – what makes it so useful and how it works. Students will work with distributed databases, installing and configuring Apache HBase, and working with HBase’s Java API. Through hands-on exercises, they will learn how to interact with HBase and Big Data analytics tools, including Apache Phoenix, Apache Drill, and more. By the end of this course, you will be well versed in using HBase to efficiently store and access big data.

The 1-on-1 Advantage

Get 1-on-1 session with our expert trainers at a date & time of your convenience.

Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.

4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.

Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.
Live Online Training (Duration : 3 Days - 24 Hours)
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

1500 + If you accept merging of other students. Per Participant & excluding VAT/GST
4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
1200 Per Participant & excluding VAT/GST
04 - 06 Mar
09:00 AM - 05:00 PM CST
(8 Hours/Day)
01 - 03 Apr
09:00 AM - 05:00 PM CST
(8 Hours/Day)
+ If you accept merging of other students.
Course Prerequisites

A basic understanding of Python and/or Java programming, as well as a good knowledge of database concepts like SQL and NoSQL is ideal for this course. We also recommend having a basic understanding of Apache Hadoop, Apache HBase and HDFS. Knowledge of Linux system is preferable, but not a must.

Target Audience

The primary target audience for Apache HBase training is individuals who wish to work with large amounts of data using the Hadoop Distributed File System (HDFS) and the Apache HBase database
Professionals in the Big Data field such as software engineers, architects, analysts, developers or administrators who work with HBase data storage system would benefit from this training
This training is also useful for individuals who want to create and manage distributed, scalable, and reliable Big Data databases and NoSQL stores, such as app developers, data engineers, marketing and financial activities specialists, and computer scientists
This training is also useful for students who want to gain the knowledge and skills related to building real-time and analytical applications on Apache HBase
This course is beneficial for all skill levels, from those with limited or beginner-level experience to experienced developers

Learning Objectives of Apache HBase

1. Learners will gain insight into the HBase architecture, its components and their interactions, as well as its core principles and capabilities.
2. Understand data models and schema design, query syntax and security, backup and recovery, and migrating data to an HBase cluster.
3. Understand the administrative tasks and best practices for configuring, monitoring, and tuning the HBase cluster, including performance optimization and troubleshooting.
4. Learners will gain hands-on experience in working with HBase operations, managing their data stores in the HBase cluster and external applications built on top of it.
5. Learn how to integrate HBase with Apache Hive and Apache Pig for analytical processing of HBase data.
6. Gain skills for developing custom applications to load, access and query data stored in an HBase cluster using the Java APIs.
7. Understand how to deploy a production-grade HBase cluster and other associated technologies.


You will receive the letter of course attendance post training completion via learning enhancement tool after registration.
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Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
Yes, course requiring practical include hands-on labs.
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Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Yes you can request your customer experience manager for the same.
1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes.You can access courseware for most vendors.
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Buy-Now. Pay-Later option is available using credit card in USA and India only.
After you submit your payment, you will land on the payment confirmation screen.It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
Yes you can.

Prices & Payments

Yes of course.
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Travel and Visa

Yes we do after your registration for course.

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