ExcellentCASUGOL4.9★★★★★
koen de wit ★★★★★ I wanted to expand my horizon and open myself to a new way of thinking about digital transformation. It certainly more than overdelivered
David Mould ★★★★★
Peesa Choomsawasdi ★★★★★ Enjoyed the class, insightful and pragmatic.
Selva Subramanian Sivanaiah ★★★★★
Ahmad Tariq Ahmad Ziyad ★★★★★ Thanks Dwayne for teaching us the CASUGOL Digital Transformation Framework. After the class, it makes me can't wait to start to many potential area of improvements in my company internally and externally on our Digital Transformation journey
Kuchai ★★★★★ Very exciting course to be joined by others in AI era.
Joel Sebastian ★★★★★
Marshall Tommie Lajawai ★★★★★ Great training experience!
Auriel Anthony ★★★★★ Thank you CASUGOL for coming all the way to Sabah, East Malaysia at Sabah Credit Corporation. Had amazing digital transformation training with CASUGOL!
cordon scc ★★★★★ great learning experience and learn more about digital transformation. Also great speaker
Jeamron Arat ★★★★★ Attended CASUGOL's CDTP training and learned a lot about the Digital Transformation framework and core principles which can be applied on the job. Plenty of real-world examples and active discussion during the trainings.
Kira Chan ★★★★★
toni gasang ★★★★★
Innocelzever Abdon ★★★★★ I've enjoyed the whole 2-day training as Dwayne kept it light and fun while being an educator at the same time, it made my experience memorable and informative
Japhet Moraleja ★★★★★
Ian Curt Sarmiento ★★★★★ Great way of sharing expertise and knowledge in small steps but big meaning change.
Patricia Caldito-Lim ★★★★★ Casugol provides a better understanding on how to leverage well on Artificial Intelligence. I've a learned a lot on a 1-day session. Thank you!
Kavilashini Alagenthran ★★★★★
Tiwi Harefa ★★★★★
Raihan Muhammad Iqbal ★★★★★
vira agatha ★★★★★ It was really fun to follow the casugol training, the lessons were easy to understand
Hanna Yunita ★★★★★
Nurianda Wulandari ★★★★★ Terimakasih untuk pembelajarannya selama ini, semoga ilmu yang di berikan bermanfaat bagi semua org
Liza Sinaga ★★★★★
ryanlau terate22 ★★★★★
Anita Romauli Simamora ★★★★★ During this training, I gained a lot of valuable experience, both in terms of knowledge, skills, and work attitudes. The material presented is very relevant to the needs of the world of work, and is presented in an interactive and easy-to-understand manner.
Wahyu Syaputra ★★★★★ Saya sangat senang mengikuti materi pembelajaran seminar ini
Ecah Herlina ★★★★★ The class is very good
vioretta angela ★★★★★
stephanie ★★★★★ so fun experience!thanks to mr. Dwayne
Elvis ★★★★★
Victor Octarino ★★★★★
Valent G ★★★★★
Glae Disya ★★★★★ Nice place to learn
Nsalim batam ★★★★★
Myoui Aldo Cho ★★★★★
Sundi Centuria ★★★★★
Andira Nasaruddin ★★★★★
Aurell ★★★★★
Putri Mayang ★★★★★ The class was very enjoyable and the material was meaningful
Reza Seri Rahayu Saputri ★★★★★
Febby aulya putri ★★★★★ Good Job
Amaliyaa Nur ★★★★★ good experience
Tania Ridha ★★★★★
Erin Kristina ★★★★★ Joining Casugol was one of the best decisions in my personal and professional development journey.
Salmiah ★★★★★
raffa witaa ★★★★★
Helena Lukmetiabla ★★★★★
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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