Dive into the Top 5 HBase Courses Every Intermediate Learner Should Take!

Dive into the Top 5 HBase Courses Every Intermediate Learner Should Take!

HBase is now serving several data-driven websites but Facebook's Messaging Platform migrated from HBase to MyRocks in 2018. Unlike relational and traditional databases, HBase does not support SQL scripting; instead the equivalent is written in Java, employing similarity with a MapReduce application.

This list article provides all the required information on the most effective intermediate-level HBase certification courses.?


Introduction to HBase

HBase is a column-oriented non-relational database management system that runs on top of the Hadoop Distributed File System (HDFS). HBase provides a fault-tolerant way of storing sparse data sets, which are common in many big data use cases. It is well suited for real-time data processing or random read/write access to large volumes of data.

Unlike relational database systems, HBase does not support a structured query language like SQL; in fact, HBase isn’t a relational data store at all. HBase applications are written in Java much like a typical Apache MapReduce application. HBase does support writing applications in Apache Avro, REST and Thrift.


Top Intermediate level HBase skills?

The major skills covered include theoretical basics, teaching you about the software and its applicability, and the technical skills needed. These are as follows:

Machine Learning Algorithms

A machine learning engineer works with multiple packages, algorithms, and libraries on a daily basis. It’s important to be well-read in various learning procedures, including linear regression, genetic algorithms, gradient descent, boosting and other model-specific methods.?

Deep Learning Techniques

Deep learning is machine learning that learns to perform classification tasks by analyzing images, text, or sound. The models are trained with a large set of labeled data and neural network architectures containing many layers.?


Top HBase Learning Platforms

There are multiple learning platforms providing courses on Mathematics for Data Science. Some of them are listed below-

  • Coursera: It collaborates with more than 200 leading companies and universities to provide world-class training and development programs to individuals all across the globe.?
  • Eduonix: It is a skill development organization that provides for online degrees and certifications. Their aim is to bring world class training content and best learning practices to every learner across the globe.

  • edX: It offers a wide range of high quality online courses from world’s top universities and institutions in various disciplines with some courses at no charge.

  • Udacity: It is a leading certifications and course provider to train the world’s workforce in the careers of the future. They partner with leading technological companies to identify the critical skills required and bring them to everybody’s doorstep
  • O’Reilly- It shares the knowledge and teaches the skills people need to change in their world. For more than 40 years, O’Reilly has imparted the world-shaping ideas of innovators through books, articles, conferences, and their online learning platform.?


Intermediate HBase courses

ElasticSearch, LogStash, Kibana ELK 2- Learn LogStash

  • In this course, we will focus on one such enterprise data collection and collation tool-The LogStash which is one of the core components of the ELK stack. We will look at the overview and explore the technology that goes behind this tool.
  • Instructor- The course instructor, Manuj Aggarwal is a principal consultant, architect and CTO of a software consulting company TetraNoodle Technologies based in Vancouver, Canada.?
  • Pedagogy- This self paced course provides you with 2.5 hours of learning content,? instructor-moderated discussions and post course interactions.
  • Hands on approach- The course offers a capstone project at the end and interaction with international faculty.
  • Price- You can join this course for:
  • ?300
  • $6
  • £5



Flume and Sqoop for Ingesting Big Data

  • In this course, you will learn to transport data from local file systems, HTTP and MySQL, which store/produce data, to data stores such as HDFS, HBase, and Hive.?
  • Instructor- Tom Robertson is an innovator first, and then a Data Scientist & Software Architect. He has accumulated over a decade of experience in R, Python & Linux Shell programming.
  • Pedagogy- The certification is for a two hours duration and the course offers self paced learning, case studies and instructor-moderated discussions.
  • Hands on approach- The course focuses on case based learning and offers interaction with alumni network and post course interactions.?
  • Career impact- Candidates gain good industry knowledge through the materials and eventually earn a solid mastery of the hands-on skills through effective training.
  • Practicality- The learners engage in productive discussion sessions with the industry mentors and gather detailed industry training.?
  • Price- You can join this course for:
  • ?9,580
  • $99
  • £83



Building Apache HBase Applications

  • This tutorial covers the HBase data cycle and how to deploy distributed HBase. You will also learn about HBase architectures, including HBase archetypes and basic HBase tuning.

  • Pedagogy- This self paced course has 2.37 hours of learning content and provides you with international faculty, instructor-moderated discussions and post course interactions.
  • Price- You can join this course for:
  • ?2,890/mo
  • $42/mo
  • £35/mo



Building a Big Data Analytics Stack

  • This course will introduce HBase, which is a database that was built using optimizations on the HDFS. It will also have a lot of fun with Spark MLlib. Finally, you will learn about ETL and how to deploy a Hadoop project in the cloud.
  • Instructor- Tomasz Lelek is the instructor for this course?

  • Pedagogy- This self paced course has 1.31 hour of learning content and provides you with case studies, instructor-moderated discussions and post course interactions.
  • Hands on approach- The course offers case based learning, personalized teaching,? live classes from the international faculty and human interaction throughout the classes.?
  • Price- You can join this course for:
  • ?2,890/mo
  • $42/mo
  • £35/mo



Hadoop Developer

  • This Hadoop Developer Training will give you a thorough understanding of Big Data and Hadoop. The topics include an introduction to Hadoop, MapReduce and MapReduce as well as MapReduce abstraction.
  • Pedagogy- The course is self paced and is of 27 hours duration. It provides instructor moderated discussions and post course interactions to the learners.?
  • Hands on approach- The course offers case based learning, virtual labs and a capstone project at the end of the course.
  • Price- You can join this course for:
  • ?9,850
  • $99
  • £83


Final Thoughts

In the realm of big data, HBase stands as a robust solution for managing column-oriented, non-relational databases atop HDFS. Its flexibility caters to real-time processing needs and extensive data access. While lacking SQL support, HBase's Java-based approach aligns with MapReduce paradigms. Exploring intermediate HBase courses unveils diverse platforms and offerings, from Elasticsearch to Hadoop development. Instructors like Manuj Aggarwal and Tomasz Lelek guide learners through practical applications, enriching their skill sets. These courses not only impart knowledge but also empower professionals to navigate the dynamic landscape of big data analytics effectively.

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