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Apache Hadoop Big Data Training

Apache Hadoop Big Data Training

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Unlock the potential of Big Data with our structured Apache Hadoop Big Data Training. This course guides you through Hadoop’s pivotal components such as HDFS and MapReduce while ensuring you gain proficiency in the Hadoop development environment. Discover the intricacies of the Hadoop file system, run Hadoop jobs efficiently, and master the art of tuning MapReduce for optimal results.

Expand your knowledge base by delving into Hive and HBase, harnessing the power of Pig tools, and designing intricate workflows. Explore cutting-edge libraries like Impala, Mahout, and Storm. Grasp the capabilities of Spark and ensure your Big Data projects stand out with impactful visualization techniques. Equip yourself with the essential tools and knowledge to excel in the ever-evolving world of Big Data.

Certificate

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

Funding and Grant Applications

No funding is available for this course.

Course Code: C436

Course Booking

The course fee listed below is before subsidy/grant, if applicable. We will apply for the grant and send you the invoice with nett fee.

$600.00 (GST-exclusive)

$654.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
On-Site Training (5 pax and above)

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

NRIC (Last 3 Digits and Alphabet)

Additional Message or Emails for Course Notification

* Required Fields

Post-Course Support

We provide free consultation related to the subject matter after the course. Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts and get back to you asap.

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 9: Apache Spark Basics

Why Apache Spark?
Apache Spark Components
Apache Spark Commmands

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

Knowledge and Skills

Able to operate using computer functions
Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)

Attitude

Positive Learning Attitude
Enthusiastic Learner

Experience

Minimum of 1 year of working experience.

Target Age Group: 18-65 years old

Minimum Software/Hardware Requirement

Software:

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

Hardware: Window or Mac Laptops

Job Roles

Data Scientists
Data Analyts
Hadoop Administrator
Big Data Analysts

Trainers

Agus Salim : I am professional with more than 10 years of experience in Project Management, IT Solutions Management, and Systems Integration both in waterfall and agile methodology. He started out his career as a Web Developer before moving on to Business Analyst/Project Manager. He has strong leadership and the capability of leading a team with a proven ability to deliver projects with tight timelines. Besides his experiences in managing projects, he has good knowledge in Cybersecurity and hands-on experience in Next Generation Firewall such as Check Point. During his free time, he likes to explore Cloud Technology, especially on Microsoft Azure. Agus Salam is AWS cloud practitioner certified. I am also ACLP certied trainer.

Quah Chee Yong : Start-up experience in the field of Data Analytics and Digital Assistant/Chatbot. Blockchain Enthusiast. Lead Trainer (ACLP) in the field of AI/Data Science. General Management experience in Sales, Marketing, Business Development, Technical Services, Shipping/Marine & Supply Chain, HSSE/Risk Management and Support Functions Combination of Commercial, Operational and Technical background in MNCs covering the Asia Pacific region Staff/Stakeholders Management in a virtual matrix organizational setup spanning diverse cultures globally. I have obtained AWS certification.