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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
Configuration Topics include:

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

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M450

Course Booking

MYR880.00

Course Date

Course Time

* Required Fields

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

Who Should Attend

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

Prerequisite

Nil

Trainers

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

Project Manager and Big Data TrainerTarun Sukhani is an IT executive, educator, author, speaker, data scientist, security expert, agile coach, polyglot coder, and entrepreneur with over 19 years of combined professional experience both in the U.S. and internationally. As a seasoned veteran, my expertise lies in leading teams in the design and delivery of highly scalable, concurrent, and performant enterprise software solutions with budgets of up to $100 million. I am particularly adept at building productive, self-managing agile teams with predictable velocities and delivery timeframes.

Tarun Sukhani is skilled in all phases of the SDLC/ALM, with a solid foundation in Agile (XP, SAFe, Lean, Scrum, Kanban, and Scrumban) and traditional (PMI and PRINCE2) project management frameworks and methodologies.

He is proficient in Big Data/Data Science: Hadoop, Pig, Hive, HBase, Spark, R/Rattle, Cassandra, YARN, Zookeeper, Mahout, SimpleCV, OpenCV

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.

Big data TrainerMohamad Mehdi Lotfinejad is an IT/IS Analyst and Solution Designer, IT Strategic Planning Consultant, Web Designer and Developer, Web Application Security Expert, eMarketing Consultant and Lecturer. He is also on the editorial board of the International Association of Academicians, Canada as a technical manager.

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