Superb training experience! Very in depth seminar conducted by Mr Dwayne Ong on CDTP course. We appreciate your time and support for the past 2 days on the course. Mr Dwayne was very knowledgeable and offered very valuable information. Great tools to apply for organizations moving towards Digitalizations Bahagian Pengambilan Pelajar IPT
Very informative class. Participants able to learn latest trend in digital trend It was an amazing experience. A very interesting learning experience outside my expertise Nice experience on this training. Thank you. Machine learning is very interesting Learn enjoy with CASUGOL😁 Great training experience! The integration of case studies into our 2-day training has been instrumental in deepening our knowledge and preparing us to tackle real-world challenges in DX. It has been an engaging and enriching experience! Thank you, Dwayne/ CASUGOL =) Yvette Halili-De Leon (YHD)
Training delivery was amazing. Complicated and technical concepts were distilled and made simple for participants to easily understand and relate to.Highly recommended for professionals who wants to upskill and bring better value to their respective organizations. Its very informative and detailed Pelatihan yang menarik dalam mempelajari design thingking profesional 
Upcoming Batches
| Schedule |
Time (SGT / UTC +8) |
Sessions |
Date |
| Full-Time |
9:30am to 5:30pm
(Daily) |
4-Sessions |
5 to 7 Oct | 2 to 5 Nov | 7 to 10 Dec |
| Register Here
|
Upcoming Batches
| Schedule |
Time (SGT / UTC +8) |
Sessions |
Date |
| Full-Time |
9:30am to 5:30pm
(Daily) |
4-Sessions |
5 to 7 Oct | 2 to 5 Nov | 7 to 10 Dec |
| Register Here
|
Course Information
- Duration: 4-Day / 32 Hours
- Certification: Participants will receive a Certificate of Competency upon successfully completing the course and passing the examination
- Who Should Attend: Data Analyst, Finance Analyst, HR Analyst, Software Engineers, Database Administrator, CIO or Anyone interested in pursuing a career in Big Data, Data Analytics, and Data Engineering
Course Objective
Acquiring advanced knowledge and skills on how to use Hadoop in Big Data to identify correlation and causation statistically valid models as part of their organisation strategic decision making and planning.
Pre-Requisite
It is preferred that participants successfully completed and pass Data Analytics Essentials (DAE)
Examination
Participants are required to attempt an examination upon completion of course. This exam tests a candidate’s knowledge and skills related to Big Data and Hadoopbased on the syllabus covered
Module 1
Data Types and Relational Database Management System (RDBMS)
Topics Covered
- Overview on Data Types and Relational Database Management
- Data Types & RDBMS Concepts
- Structured Query Language – SQL Basics
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- Data Warehousing Concepts
- Data Modeling Concepts
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Module 2
Introduction to Big Data and Hadoop
Topics Covered
- Introduction to Big Data and Hadoop
- Hadoop Architecture
- Hadoop Deployment
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- Hadoop Troubleshooting
- Introduction to Hadoop Distributed File System (HDFS)
- Introduction to MapReduce
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Module 3
Processing Data in Hadoop
Topics Covered
- Overview on MapReduce
- When to Use MapReduce
- Introduction to Spark
- Components and Concept of Spark
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- Understanding Abstraction
- Working with Pig
- Overview on Hive
- Apache Hive – Hive Query Language
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Module 4
NoSQL Management for Big Data
Topics Covered
- Introduction to NoSQL
- Concepts of NoSQL
- Key-Value Stores
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- Document Stores
- Object Data Stores
- Graph Databases
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Module 5
Real-Time Data Processing with Hadoop
Topics Covered
- Understand Stream Processing
- Introduction to Apache Storm
- Understanding Storm Architecture and Topologies
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- Integration Storm with HDFS
- Integration Storm with HBase
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Module 6
Spark Streaming and Its Application
Topics Covered
- Overview on Spark Streaming
- Spark Streaming with Simple Count
- Spark Streaming with Multiple Inputs
- Maintaining State
- Windowing in Spark Streaming
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- Streaming vs. ETL Code
- Batch Analytics with Spark
- SparkSQL and DataFrame
- DataFrame APIs and SQL API
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Module 7
Performing Visualization in Big Data
Topics Covered
- Performing Data Visualization for Big Data
- Common Big Data Visualization Tools
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- Quick Overview on the Different Chart Types
- Using Python to Perform Data Visualization
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Advanced Big Data Professional (ABDP) involves rigorous usage of real-time case studies, hands-on exercises and group discussions
What Past Participants Say
The case study discussion during the course by CASUGOL trainer provides participant with the much required insights on the subject matter.
Vernon Tan
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CASUGOL training provide participants with lots of real-time hands-on activities. Participants also received personal coaching in class by CASUGOL trainers with lots of experience.
Savita K. Sugathan
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Why CASUGOL
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Customization of Programs for specific industry, organisation, government agencies, statutory boards.
Flexible programmes designed to cater to the individual needs of participants, whether for professional upskilling, or for general interest.
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Benefit from contribution from leading Industry Experts, Academics, and Researchers from across the world.
Opportunities for employers to develop their workforce and for individuals to enhance their career.
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Dynamic learning environment that providing participants with professional networking opportunity.
Online support for participants after the training. |
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