Data Technology And Management For IT Professionals

23 Mar, 24 Mar 2023 | 9am-5.30pm | Online (Corporate Run)

8 Jun, 9 Jun 2023 | 9am-5.30pm | Online (Corporate Run)

Duration: 2 Days

This big data analytics course in Singapore introduces you to modern data management techniques, as well as open source big data tools such as Apache Hadoop and Apache Spark.

Course Overview

This introductory course has been developed to introduce modern data management technologies to participants. Among the topics to be analysed are the definition of basic data management techniques and technologies, the background of such technologies, and the future trends of Data Technology and Management (DTM).

This course will also explain the differences between various Data Management approaches, environments, and tools, as well as the advantages and disadvantages associated with their diverse applications. Emerging trends in the field of DTM will be reviewed as well.

Learning Outcomes

At the end of the course, participants will be able to:
• Understand the basic terms of DTM, along with the characteristics and applications of different applicable DTM techniques.
• Articulate the future trends of DTM.
• Compare the advantages and disadvantages of the new DTM platforms and tools in different applications.
• Recommend a set of tools for a given problem.


  • Course Introduction, description of the goals, contents, and scheme
  • Data management technology: Definitions and basic terms
  • Big Data and Big Data Technology: Definitions and basic terms
  • A review of the DBMS/RDBMS technology and trend
  • Technical details of Big data, Cloud and Edge techniques
  • Hardware and software requirements
  • Differences between ordinary DBMS/RDBMS and Big data
  • Skills and resources needed for big data management
  • Data quality for big data solutions: data quality assurance for big data systems
  • Data quality for big data solutions: new methodologies
  • Cloud and edge technologies introduction
  • Moving to big data: architecture, infrastructure, application, metadata
  • Future trends in big data technology
  • Tools review: Airflow, Kubernetes, Docker, ML Flow, Google Cloud, Mongo DB, Graph Databases, No SQL, and Server-less technologies
  • Tools Comparison: Airflow, Kubernetes, Docker, ML Flow, Google Cloud, Mongo DB, Graph Databases, No SQL, and Server-less technologies
  • Security considerations in modern DM
  • Versatility considerations: Technical and implementation
  • Volume and Velocity considerations: Technical and implementation
  • IoT and multi-resources considerations: technical and implementation
  • Big data implementation: requirements, roadmaps, strategies
  • Big data implementation: challenges, integration, and validation
  • Big data analysis challenges and methodologies
  • Big data scaling challenges, necessities, and the application side
  • Data warehousing for big data and its challenges
  • Describing future DTM trends

Who Should Attend

IT Engineers, IT Managers, IT Executives, IT Consultants


Minimum two years of working experience in the field of IT

Couse Conveners

(Click their photos to view their short biographies)

ddddd Amirhassan Monajemi

Dr Amirhassan MonajemiDr Amirhassan Monajemi

ddddd Edmund Low

Dr Edmund LowDr Edmund Low

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

NTUC members enjoy 50% unfunded course fee support for up to S$250 each year (or up to S$500 for NTUC members aged 40 years old and above) when you sign up for courses supported under UTAP (Union Training Assistance Programme). Please visit e2i’s website to find out more.

To enquire, email

To register, click Register

For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants