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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

Training Mode

Virtual Classroom Training (All countries)
Physical Classroom Training (Malaysia after MCO)
In-House Training (Malaysia after MCO)

Physical Classroom Training Location

Kuala Lumpur
Penang
Others

Course Date * Course Date

Course Time * Course Time

10am - 6pm

No. of Participants

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* 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

Topic 1: Get Started on Apache Hadoop

Why Hadoop?
Differnece between HBase and Hadoop

Topic 2: Hadoop Core Components

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

Topic 3: Setup Hadoop Development Environment

Setup Cloudera Hadoop VM
Adding Hadoop LIbraries
Programming Languages

Topic 4: MapReduce 2.0/YARN

What is MapReduce?
MapReduce Components
MapReduce on HDFS

Topic 5: Hive

What is Hive?
Hive Queries
Analyzing data with Hive

Day 2

Topic 6: Pig

What is Pig
Pig Data types
Pig Commands

Topic 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

Topic 8: Exploring Other Hadoop Libraries

Introducing Impala
Introducing Mahout
Introduing Storm

Topic 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.

Python Trainer Saeid Alizadeh is a technopreneur specialized in field of IOT (Internet of things), Building Management System (BMS), Building Automation System (BAS), Automotive Hydroponics Systems, and generally sense, monitor and control mechanical and electrical equipment such as ventilation, lighting, power systems, fire systems, and security systems.

Saeid’s past experience on IoT application include:

Smart Building System
Energy Monitoring, Controlling and Saving
Environmental Monitoring
Flood detection and prediction system based on IoT and big data
Online Weather Station Based on IoT
Smart Farming System (Long Range Wireless Sensor Networks)
Smart Hydroponic System Based on IoT
IP TV and Digital Signage System
RFID Solution
GPS Tracking System
Remote Sensing

Big data trainer Rupesh 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 training industry for more than half a decade.

Tableau Trainer Lee Cheong Loong is a manager with an EMBA – 21 years working experience indifference role/ Dept. (Sales, Logistic, IT, Online Store, Internal Trainer and Customer services), involved in multiple IT project (Server P2V upgrade, Network infra upgrade, and ERP system Deployment). He has switched career to Project management role, Big - data / Data scientist related project, with Professional Certification Big Data & Analytics, Professional Certificate in Tableau, & Pass the HRDF Certified Trainer Programme. He also involves in AI chatbot and application development to help small-medium practitioner (accounting industry).

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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)