Apache Hadoop Big Data HRDF Course in Malaysia - Hadoop, Pig, Hive, Impala, Scoop, Oozie, Hbase, Apache Spark

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

Hadoop Big Data Trainer Hassan Keshavarz is a Ph. D Candidate in MJIIT. He 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.

Customer Reviews (5)

Will RecommendReview by Kartini Mohamed

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

To include practical training

The use of Bash Script, Talent Studio for Big Data, and Tableau software could be included in the practical training. (Posted on 10/16/2018)

Will Recommend Review by Shamiel Hashim Ibrahim

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

extend training days - 3 days minimum (Posted on 8/5/2018)

Will RecommendReview by Tamir

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

Niil (Posted on 6/25/2018)

Might RecomemndReview by Wong Joon Keet

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

Include more hands-on practice (Posted on 6/19/2018)

Might RecomemndReview by Ho Kin Yee

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

More in-depth on Hadoop and it's ecosystem instead of other industry use-cases.

Hassan was nice and he's really knowledgeable with Hadoop, just with he'd show more technical demo and teach us more in-depth about Hadoop's architecture itself. (Posted on 6/19/2018)