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HBase Training in Toronto, Canada

Understand HBase architecture, HBase data models and its operations Also learn to Integrate Hive and HBase

  • 24 hours of Instructor-led classes
  • Beginner to Advanced level
  • Hands-on training
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Modes of Delivery

Key Features

24 hours of Instructor-led sessions on HBase
Immersive hands-on learning classes
Learn the fundamentals of HBase architecture and NoSQL
In-depth understanding of HBase data models and its operations
Learn to integrate HBase and Hive, how HBase works with HDFS.
Our HBase mentors will guide students in implementing the technology for future projects

Description

HBase Training

A non-relational database that provides real-time read/write access to large datasets, HBase is the high-performance, distributed data store built for Apache Hadoop. HBase allows storing a massive amount of data in the form of the table consisting of billions of rows and millions of columns. It allows random real-time, read/write access to Big Data. HBase is designed as a column-oriented, data-storage model, innovated after being inspired by Google Big Table.

Zeolearn Academy brings you a detailed HBase training designed specifically for Big Data developers. The HBase online training course includes HBase, NoSQL concepts, and understanding how HBase works with HDFS.   The HBase certification issued by Zeolearn on successful completion of the course will be a valuable addition to your resume and will increase your employability.

Features of HBase:

  • RESTful webservice with XML
  • Linear and modular scalability
  • Strict consistent reads and writes
  • Extensible shell
  • Block cache and Bloom filters for real-time queries

Here is what you will learn!

  • HBase architecture and NoSQL basic concepts.
  • HBase data models and its operations
  • Integrating Hive and HBase
  • API’s in HBase

Is this course right for you?

Any software professional who want to make a career shift to Big Data will gain benefits from this course. 

Prerequisites:

  • Basic understanding of Big Data
  • Knowledge of core Java will be helpful
  • Prior knowledge of NoSQL

 

Curriculum

  • What is HBase and why to use it?
  • Components and Architecture of HBase
  • Difference between RDBMS and HBase
  • Introduction to HBase Tables and Shells
  • Introduction to NoSQL
  • Why NoSQL
  • NoSQL Databases and features
  • Building blocks of HBase
  • Table and Column families of HBase
  • Data model in HBase
  • Core components of HBase cluster
  • Reading and Writing data in HBase
  • Compaction and Data Flushes
  • Primary and Advanced operations in HBase
  • HBase Tables and Shells
  • CRUD operations on Tables
  • Integration of Hive with HBase
  • Processing HBase data using MapReduce
  • Load HBase Utilities
  • Column Family and Schema Design Considerations
  • Pre-Splitting Region
  • Cache Configuration

Frequently Asked Questions

Apache HBase is an open source Hadoop database management system that is perfect for working with huge volumes of non-relational databases. Its advantage is its reliability and its compatibility for working on top of HDFS. After completing this course, you will be conversant with the practical aspects of HBase like understanding HBase architecture and components, integration of HBase and Hive, and more advanced operations, and can excel at a career in Big Data. 

Zeolearn brings you online, self-paced, mentor driven courses that not only helps professionals gain theoretical expertise but also the practical experience in a wide variety of courses including courses on Database such as MariaDB for Administrators, which is very popular. The fact that our workshops are mentor driven gives us an edge over other training institutes since you can learn from industry experts about the application and challenges of upcoming technologies. We have so far trained thousands of professionals with the skills needed to land lucrative jobs and you could be next!

On course completion, all participants have to work on a project to get hands on familiarity with the concepts learnt. Participants will be trained on HBase with full support from their respective trainer along with course materials. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

You will receive HBase certification in the form of a course completion certificate.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.  Demo classes will also be provided on demand.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

As this is an online program, you will require a windows computer with good internet connection to attend your classes. A headset with microphone is recommended. You may also attend these classes from your Smartphone or tablet.

HBase Course in Toronto

Introduction

Toronto is the capital of the province of Ontario in Canada. Toronto is home to the headquarters of Canada’s five largest banks and many multinational corporations. This global city is an international centre of arts, culture, business and finance.

About the course in Toronto

All the multinational corporations and businesses, large-scale or small-scale, have a dependency on data management systems. Apache HBase is the much talked about and adopted non-relational distributed database. HBase is now being extensively used by many data-driven websites like the Facebook’s Messaging Platform, Yahoo, Adobe and Spotify. HBase, developed by the Apache Software foundation, is an open source database written in Java, which lets you store enormous amounts of data in the form of rows and columns of a table and enables faster read and write operations on large datasets. Zeolearn Institute conducts HBase training in Toronto. You can enrol for HBase course in Toronto that covers the basics of HBase, NoSQL concepts and understanding how HBase can be used to work with HDFS.

The HBase training in Toronto facilitated by Zeolearn has a reasonable fee for the course and comprises of coaching by trainers, mentor-driven workshop, practice sessions and hands-on exercises and collection of comprehensive course material for reference. HBase certification in Toronto has gained popularity, especially among Big Data developers.

HBase, modelled after the Google Big Table, provides linear and modular scalability, automatic failure support, block cache and bloom filters for real-time queries and is used extensively for random read and write operations. Zeolearn offers HBase certification in Toronto which proves your skill on HBase, adds value to your resume and provides better career opportunities.

Here’s what you learn

Our HBase training course in Toronto offers

  • Basic concepts of HBase like its components, architecture, data modelling and operations
  • Integration of Hive and HBase
  • Learning about HBase API’s
  • Basic concepts of NoSQL databases and features
  • About HBase API’s and integration of Hive with HBase

Objectives of the Course:

  • Learn how to process real-time datasets using HBase
  • Conduct training sessions that are mentored by certified and industry experts
  • More than 24 hours of hands-on and exhaustive lab hours to attain expertise

Highlights of the Course:

  • Live training conducted by expert instructors
  • Emphasis on hands-on assignments monitored and mentored by expert trainers
  • Flexible schedule of weekday and weekend batches
  • Unlimited access to attended class recording, if needed in future to refer to
  • Opportunity to freely attend any other ongoing batch of the same course
  • Ensures refund if not satisfied by opting out within a day

Is the course right for you?

If you are an experienced professional of Big Data or an aspiring professional who wishes to seek a career in Big Data, then this course is for you. It will add value and wattage to your resume and improve your employability chances. This course is also designed for those professionals who wish to learn HBase and implement it in Hadoop.

Prerequisites:

  • Basic concepts of Big Data
  • Knowledge of core Java
  • Aware about NoSQL basics.

 

 

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