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HRDF Approved Training Provider in Malaysia - Modular Fast Track Skill-Based Trainings

Apache Hbase Training

Apache Hbase is NoSQL and Columnar database and is a distributed, scalable big data store. This Training explains how to design Tables, Regions, Accessing data in Tables, Schema design, Hbase architecture, Performance Tunning, Administration .You will learn to how Hbase stores rows, How column families work, How version work with Hbase, How to invoke Hbase shell, How to get information using shell, Create tables, Using shell to access data ,How regions work, Understand how crash and recovery works ,How a region server splits a region ,How to define schema for locality ,How to detect and prevent hot spots

Course Highlights

  • Overview of Hbase
  • Hbase Data Model
  • Hbase shell
  • Hbase Architecture
  • Hbase Administration


All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M450

Course Booking


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Course Cancellation/Reschedule Policy

We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
Note the venue of the training is subject to changes due to class size and availability of the classroom.
Note the minimal class size to start a class is 3 Pax.

Course Details

Module 1 Hbase overview

  • What is Hbase
  • Introduction to Hbase

Module 2 Hbase Data Model

  • Designing Tables
  • Column Families
  • Cells and Version

 Module 3 Hbase Shell

  • Create Tables
  • Accessing Data in Tables
  • Administration
  • Scripting

Module 4 Hbase Architecture overview

  • Regions
  • Flushes and Compactions
  • Reading and Writing to Hbase
  • Bloom filters and Block Cache
  • WAL and Crash Recovery

Module 5 Hbase Administration

  • Monitoring
  • Backup
  • Tools
  • Compression
  • Capacity Planning

Course Admin


This is beginner course. No Hadoop or SQL knowledge is required.:

Software Requirement

Who Should Attend

  • Data analysts
  • Data Scientists
  • Digital Marketers
  • Finance Analysts


Big data trainerRupesh Nanglia(RUPS) has more than 13 years' experience in software development/architecture and system integration. Has architect ed solutions in agile and scrum development environments. Is adept in Big Data Analytics, Internet of Things (IoT), Project Management, as well as Cloud Computing and Network Analysis. Moreover, while his on-the-job experience has afforded him a well-rounded skill set. He is an expert at Apache Hadoop, No SQL DB(Cassandra, MongoDB, Hbase, Neo4j...), Spark, Kafka, Storm, R, Data Analytics, Social Media Analytics, OpenStack Cloud Computing Platform, preparing study narratives documents and case reviews, Perform the tasks of reviewing studies performed by the staff. Is also working ‎on Data Science field as a trainer and Data Scientist. Has worked on Machine Learning and Process ‎ Mining projects. Strong written and verbal communication skill.Successful background working with stakeholders to develop and implement an architecture framework that aligns strategy, processes, and IT assets with a business goal. Has been associated with the training industry for more than half a decade.

Big Data TrainerSwamy Gurram is a Cloudera Certified Developer for Apache Hadoop (CCDH). He has a lot hands on experience with Hadoop technologies (HDFS, MapReduce, Hive, Pig, HBase, Sqoop, flume, Impala, Knox etc) and Hadoop cluster installations, administration along with virtual server installations . He has 10+ years of experience in Technical Architecture, Onsite Relationship Management and Automotive Business Analyst. He also has experience in Hadoop, Mainframe Technologies, Visual Basics, Mainframe Migration Tools. He is expertise in system life cycle skills comprising of analysis, technical design, testing, implementation and documentation

Big Data trainerSyed Muhammad Farrukh Akhtar has more than 15 years of experience analysis, designing, developing, integrating and managing large applications for diverse industries. He has experience working in Dubai, Pakistan, Germany and Malaysia, strong hands-on experience of software design, development and integration on different platform like IBM J2EE, Oracle and Microsoft .Net, Big data, Hadoop, Spark, HBase, Hive, Sqoop, Flume and NoSQL. He also has expertise in Machine Learning/ Deep Learning with Tensor Flow, Keras and Python, excellent skills in React, Ionic 2, Angular 2, Mobile Apps with React Native and Node.js. He is highly knowledgeable in object oriented software development, requirements analysis, and database design. Possess deep understanding of Open Source technologies’ applicability in emerging business areas. He possesses excellent knowledge in Rational Unified Process (RUP); Rational Software Architect; data modeling and mapping; and extensible system design using the UML and Visio. Professional experience on J2EE, JMS, Web Sphere, Oracle, Spring, Hibernate, Struts and 3-Tier Web-based Applications Development.

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