Advanced Big Data Professional (ABDP)

Superb training experience!
NG LAY HONG
NG LAY HONG
Lilian Tan
Lilian Tan
Elaine Chan Wai Kuen
Elaine Chan Wai Kuen
Nazrul Azmi
Nazrul Azmi
Syamil Ani
Syamil Ani
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
Bahagian Pengambilan Pelajar IPT
Very informative class. Participants able to learn latest trend in digital trend
Iman Cipta
Iman Cipta
It was an amazing experience. A very interesting learning experience outside my expertise
hamizan malek
hamizan malek
Nice experience on this training. Thank you.
MengKeong San
MengKeong San
Machine learning is very interesting
Nurlaila
Nurlaila
Esther Sihuraa
Esther Sihuraa
Emanuel Antonius
Emanuel Antonius
Learn enjoy with CASUGOL😁
Afri Official
Afri Official
Very nice
Khevind Adrian
Khevind Adrian
ferdy santoni
ferdy santoni
Jonatan Abednego
Jonatan Abednego
Adi Gunawan Lase
Adi Gunawan Lase
Leonardo
Leonardo
Great training experience!
Joshua P. Romero
Joshua P. Romero
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)
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.
francis nepomuceno
francis nepomuceno
Nandito Tan
Nandito Tan
Its very informative and detailed
Veron Vernando
Veron Vernando
Pelatihan yang menarik dalam mempelajari design thingking profesional
raja doly sirait
raja doly sirait
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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
  • Data Warehousing Concepts
  • Data Modeling Concepts

Module 2 Introduction to Big Data and Hadoop

Topics Covered
  • Introduction to Big Data and Hadoop
  • Hadoop Architecture
  • Hadoop Deployment
  • Hadoop Troubleshooting
  • Introduction to Hadoop Distributed File System (HDFS)
  • Introduction to MapReduce

Module 3 Processing Data in Hadoop

Topics Covered
  • Overview on MapReduce
  • When to Use MapReduce
  • Introduction to Spark
  • Components and Concept of Spark
  • Understanding Abstraction
  • Working with Pig
  • Overview on Hive
  • Apache Hive – Hive Query Language

Module 4 NoSQL Management for Big Data

Topics Covered
  • Introduction to NoSQL
  • Concepts of NoSQL
  • Key-Value Stores
  • Document Stores
  • Object Data Stores
  • Graph Databases

Module 5 Real-Time Data Processing with Hadoop

Topics Covered
  • Understand Stream Processing
  • Introduction to Apache Storm
  • Understanding Storm Architecture and Topologies
  • Integration Storm with HDFS
  • Integration Storm with HBase

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
  • Streaming vs. ETL Code
  • Batch Analytics with Spark
  • SparkSQL and DataFrame
  • DataFrame APIs and SQL API

Module 7 Performing Visualization in Big Data

Topics Covered
  • Performing Data Visualization for Big Data
  • Common Big Data Visualization Tools
  • Quick Overview on the Different Chart Types
  • Using Python to Perform Data Visualization

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

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

Why CASUGOL

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.

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.

Dynamic learning environment that providing participants with professional networking opportunity.


Online support for participants after the training.

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