Database Engineering Unlimited
The Database Engineering Unlimited Cloud Learning Subscription is a competency based training programme designed to bridge the gap between academia and industry in partnership with over 100 institutions and companies and equips you with the skills and knowledge to design, develop, deploy and manage databases.
In this course, you will gain proficiency with Information management systems, distributed databases, Blockchain, SQL, database administration, database development using Oracle, Microsoft SQL Server, IBM DB2 databases, ETL, Data warehouses and more.
On successful Completion of this course you will be able to:
- Databases and the Relational Model
- Database Modelling
- Database Analysis and Design
- SQL Server Management Studio - SSMS
- SQL Server T-SQL Development
- Oracle SQL Developer
- Oracle Database Development
- Microsoft SQL Server Development
- IBM DB2 Development
- Oracle Database Administration
- Microsoft SQL Server Administration
- IBM DB2 Administration
- Overview of DB2 on Linux, UNIX and Windows
- DB2 products and DB2 Editions
Unlimited Cloud | |
How It Works | The Database Engineering Unlimited Cloud Learning Subscription is delivered on-line and offers 12 months of unlimited access to all courses within the Database Engineering learning category at a fraction of the normal price; saving on average 80% for the duration of the course. |
What you will learn | You will gain proficiency with Information management systems, distributed databases, Blockchain, SQL, database administration, database development using Oracle, Microsoft SQL Server, IBM DB2 databases, ETL, Data warehouses and more. |
Database Engineering Unlimited
- Brand: Weblearning Publishing
- Product Code: Database Engineering Unlimited
- Reward Points: 100
- Availability: In Stock
- £495.00
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£399.99
- Price in reward points: 1200
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- 2 or more £329.99
- 4 or more £289.99
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Tags: Database Engineering Unlimited, ETL, EAI, MDM, Big Data, Database Management, Oracle Database, SQL, DBA, Artificial Intelligence, Machine Learning, AI, LLM