The training is worthwhile . The experience from day 1 to the last day is great. It is a lively interaction from the trainor to participants. This training brings new knowledge that i could apply to my job. Thank you Dwayne. Hooray to the whole team!
Workshop conducted was very informative and engaging. This was a good experience!!
the course is enjoyable, interactive and very relevant in my job and current market
Great, very interactive discussion
Very relevant and collaborative training.
The instructor is very attentive to the participant's needs and answers all their queries.Casugol offers not only workshops,but a chance to get to know other people in the industry and allows you to build a network and belong to a digital community.It is a pleasure to be part of this community.
More power to Casugol Team!
The SDTL course was concise, well‑organized, and highly practical. The templates and frameworks were straightforward yet impressively precise, making the concepts easy to understand and apply in real-world situations. It was also very helpful in strengthening a leader’s perspective on Digital Transformation. Overall, the program delivered strong value and offered an excellent balance of clarity, depth, and practicality.
I wanted to expand my horizon and open myself to a new way of thinking about digital transformation. It certainly more than overdelivered
Enjoyed the class, insightful and pragmatic.
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
Very exciting course to be joined by others in AI era.
Great training experience!
Thank you CASUGOL for coming all the way to Sabah, East Malaysia at Sabah Credit Corporation. Had amazing digital transformation training with CASUGOL!
great learning experience and learn more about digital transformation. Also great speaker
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.
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
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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