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Database plays an essential role in almost all areas where computers are used in modern society.
When people deposit or withdraw funds, make airline reservations, and enroll in university courses, they will interact with databases to retrieve, record, or update their data.
Data fuels information systems to work properly and generate relevant output for data analytics. Designing and managing database is, therefore, critical in data analytics. Improper database design will likely impact on inaccurate and irrelevant analysis. Furthermore, personal data stored in the database requires careful attention and compliance with relevant jurisdictional regulations.
This 2-day workshop will equip you with system thinking to understand how the real-world activities are represented in database. You will then be guided to design a data model and develop a physical database using popular database management systems. You will also be facilitated to be aware of and comply with data protection-related requirements when working with personal data. Multiple case studies are used to help you fully comprehend database management and data protection issues.
This course enables learners to learn how to build a schema and understand the intricacy of a database.Lee Kok HuiAnalyst, MINDEF
The content was very comprehensive and people with a wide range of knowledge of the topic can benefit from this course.Cheong Shi WeiTrainer, MINDEF
Attending this course has allowed me to understand more about Database Management Systems (DBMS) and Structured Query Language (SQL) to associate with the data collected and stored for Photovoltaic (PV) Systems.Daryl HawEngineer (Electrical), YTL Powerseraya Private Limited
Data management and data protection has exposed me to how we can have good data governance and allowed me to appreciate how data can be classified in a clear and concise manner.Tan Yi GuangSystems Supervisor, MINDEF
System and Representational Model Concept
Conceptual Foundation of Relational Model
Data Modelling
Transforming Data Models into Database Design
Structured Query Language (SQL)
Data Protection and Privacy
Associate Professor, Monash University
Arif works as Associate Professor at Monash University, Indonesia Campus. Arif has worked in academia for more than a decade in several universities (e.g., Singapore Institute of Technology, Aarhus University, and the University of Queensland). Prior to working in academia, Arif worked in the IT service and finance industry. His research interests are in Data Science and Analytics, Digital Technology Strategy, and Information Systems Management. He has done industrial research and consultancy with Singapore and Indonesian institutions and companies. He has also secured several industrial research grants from Singaporean government and companies in the areas of data analytics, fintech and blockchain. Arif has solid experience in teaching information systems and analytics to executives and professionals. He conducted several workshops in Singapore, such as Data Analytics for professionals, Data Analytics and automation for accountants and Data Analytics for Lean Management. The workshops conducted were supported by the Singapore SkillsFuture professional development and upskilling program. He has successfully trained professionals in Singapore and Indonesia. His research appears in several information systems journals such as, Information & Management, Behavior & Information Technology, Journal of Information Systems, International Journal of Accounting Information Systems, Telematics and Informatics, and Technology in Society. He has presented his research in various workshops and conferences on primary accounting, accounting information systems and mainstream information systems.
Time | Day | Topics |
---|---|---|
9:00 am - 6:00 pm | Day 1 |
Systems and Representational Model Concepts:
Conceptual Foundation of Relational Model Data Modelling:
Transforming Data Models into Database Design |
Day 2 |
Database Design:
Structured Query Language:
Data Protection and Privacy Assessment, Q&A, Summary |
A Certificate of Attainment will be issued to participants who
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
The full fee for this course is S$1,962.00.
Category | After SF Funding |
---|---|
Singapore Citizen (Below 40) | S$588.60 |
Singapore Citizen (40 & Above) | S$228.60 |
Singapore PR / LTVP+ Holder | S$588.60 |
Non-Singapore Citizen | S$1,962.00 (No Funding) |
Note: All fees above include GST. GST applies to individuals and Singapore-registered companies.
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