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Apache Hadoop Big Data Training

Hadoop is indispensable when it comes to processing big data—as necessary to understanding your information as servers are to storing it. This 2 days crash course on Apache Hadoop Big Data training aims to give a good overview and familiarisation with Big Data tool sets such as Hadoop, MapReduce Pig, Hive,Impala, Sqoop, Oozie, Zookeeper Apache Sparks. It will explain Hadoop, its file system (HDFS), its processing engine (MapReduce) .

Topics include:

  • Understanding Hadoop core components: HDFS and MapReduce
  • Setting up your Hadoop development environment
  • Working with the Hadoop file system
  • Running and tracking Hadoop jobs
  • Tuning MapReduce
  • Understanding Hive and HBase
  • Exploring Pig tools
  • Building workflows
  • Using other libraries, such as Impala, Mahout, and Storm
  • Understanding Spark
  • Visualizing Hadoop output

HRDF SBL Claimable for Employers Registered with HRDF

HRDF claimable

Course Code: M448

Course Booking

MYR1,800.00

Course Date

Course Time

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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

Day1

Module 1: Get Started on Apache Hadoop

  • Why Hadoop?
  • Differnece between HBase and Hadoop

Module 2: Hadoop Core Components

  • Java Virutal Machine (JVM)
  • HDFS
  • Hadoop Cluster Components
  • Exploring Hadoop Platforms

Module 3: Setup Hadoop Development Environment

  • Setup Cloudera Hadoop VM
  • Adding Hadoop LIbraries 
  • Programming Languages

Module 4: MapReduce  2.0/YARN

  • What is MapReduce?
  • MapReduce Components
  • MapReduce on HDFS

Module 5: Hive

  • What is Hive?
  • Hive Queries
  • Analyzing data with Hive

Day 2

Module 6: Pig

  • What is Pig
  • Pig Data types
  • Pig Commands

Module 7: Connectors and Workflows

  • Introducing Sqoop
  • Importing Data with Sqoop
  • Introuducing Flume
  • Importing Data with Sqoop
  • Introducing Zookeeper
  • Using Zookeeper to co-ordindate workflow
  • Introducing Oozie
  • Scheduling jobs using Oozie

Module 8: Exploring Other Hadoop Libraries

  • Introducing Impala
  • Introducing Mahout
  • Introduing Storm

Module 8: Apache Spark Basics

  • Why Apache Spark?
  • Apache Spark Components
  • Apache Spark Commmands

Who Should Attend

  • Data Scientists
  • Data Analyts
  • Hadoop Administrator
  • Big Data 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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