Additional information
| Province | Ontario |
|---|---|
| Colleges | Academy of Learning, AOL Brampton |
| Program Categories | IT |
| Program Duration | 60Weeks |
| Program Intakes | Every Monday |
| Class Type | Hybrid |
| Funding | OSAP |
Database Administration and Big Data Predictive Analytics
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The Database Administration and Big Data Predictive Analytics diploma program will prepare and enable students to manage, maintain big data ? large, complex, and unstructured data ? and better realize and unlock its value. As the Internet, mobile technology, and user habits and demands continue to evolve, resulting in the mass accumulation of data, more businesses are increasingly accepting and using this data in all forms and sizes as part of their critical decision-making processes.
The Database Administration and Big Data Predictive Analytics diploma program will prepare and enable students to manage, maintain big data ? large, complex, and unstructured data ? and better realize and unlock its value. As the Internet, mobile technology, and user habits and demands continue to evolve, resulting in the mass accumulation of data, more businesses are increasingly accepting and using this data in all forms and sizes as part of their critical decision-making processes. As such, students will learn tools and techniques to organize, analyze, capture, curate, search, share, store, transfer, visualize, query, and update big data, to meet this and other growing demands for the effective use of big data.
Program Notes
Program fees include student manuals and all other course materials. Financial assistance may be available to those who qualify.
Graduation requirements: In order to obtain a diploma, students must obtain an overall average of 75% or better, with no final course mark below 60%.
Method of Delivery
Combination of
Integrated Learning System? training facilitated by Academy of Learning Career College facilitators
Instructor-led classroom learning
Career Opportunities
Careers in database administration and big data predictive analytics are increasingly growing. They include, but are not limited to:
Systems Administrator
Database Administrator
Information Resource Analyst
Data Warehouse Analyst
SAP HANA Consultant/Analyst
Business Intelligence Consultant/Analyst
BO/ETL Consultant/Analyst
These and similar career paths can be realized through the employment with businesses and organizations in a variety of industries, not limited to just the IT industry.
d to just the IT industry.
Required Skills and Personal Attributes
Strong technical background in computing and data work
Excellent analytical and technical problem solving skills
Excellent English communication skills (written and oral)
Good knowledge of database architectures
Collaborative team player with a positive self-motivated can-do attitude
Self-motivated
Detail-oriented
Ability to effectively manage time and stress
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