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Apache Hadoop Big Data Training

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) .

Course Highlights

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

Certificate

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: M448

Course Booking

MYR1,800.00

Course Date * Course Date

Course Time * Course Time

10am - 6pm

No. of Participants

Name(s) on Certificate *

Additional Emails for Notification

Preferred Training Locations

Kuala Lumpur
Penang

Training Mode

Classroom Training
In-House Training (Min 5 Pax)
Virtual Classroom Training (Only Outside KL and Penang)

* 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

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

Course Admin

Prerequisite

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

Software Requirement

Download and Install VirtualBox https://www.virtualbox.org/wiki/Downloads
Download CDH Image https://www.cloudera.com/downloads/quickstart_vms/5-13.html

Who Should Attend

Data Scientists
Data Analyts
Hadoop Administrator
Big Data Analysts

Trainers

Hadoop Big Data Trainer Dr.Hassan Keshavarz is Microsoft certification holder in IT sector and member of IEEE Association as well. Currently, he is working in Xchanging Malaysia, a DXC-YTL Joint Venture as Technical Lead in EDW Team as Big Data Administrator/Developer and Hadoop architecture. Hassan has 3+ years experience in installing, configuring and utilizing Hadoop eco-system in Enterprise Data Warehouse, Reporting and Analytic domains. He is an expert at: Apache Hadoop, Apache Hive, Sqoop, Flume, preparing study narratives documents and case reviews, Perform the tasks of reviewing studies performed by the staff, Strong written and verbal communication skill, Invited reviewers of journals and conferences.

Hadoop Big Data Trainer Swamy 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

Hadoop Big Data trainer Syed 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, a 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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will Recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 24/11/2019)

will Recommend Review by Course Participant/Trainee

1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment

. (Posted on 24/11/2019)