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Data Warehouse / Business Intelligence

Is your DW/BI Ecosystem ready for AI?

Embarking on a Data Warehousing or Business Intelligence journey is a crucial step for any organisation seeking to harness the power of its data with AI. However, navigating this path can be filled with challenges - from understanding the complexities of Data Architecture, to addressing Business Requirements, Data Quality needs, and more. Ask yourself these questions:
  • Are you fully leveraging the value of your DW/BI ecosystem? (AI is going to need to do so)
  • Have you successfully addressed, and mastered, the challenges these systems present?
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Public courses (online)

Duration: 21 hours
Delivery: 2 options
Full-time for 3 consecutive days
Part-time, one 4-hour session / week, for 5 weeks

Private training (online or classroom)

Duration: 21 hours
Delivery: scheduled as per your requirements

Bespoke education

This course can be tailored to your specific requirements.

Discounts

Discounts for groups of +10.

Time zones

Courses can be run for the following times zones:
Central Standard Time (CST)
Eastern Standard Time (EST)
Atlantic Standard Time (AST)
Greenwich Meantime Time (GMT)
Central European Time (CET)
Eastern European Time (EET)
Gulf Standard Time (GST)

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Course overview

This course will provide real insight into a practical approach to Data Warehousing and BI that will address all your challenges, and provide the high-quality data foundation necessary to support effective AI deployment.

In addition, the workshop is aligned to DAMA DMBoK and will assist you to write the DAMA CDMP exam and receive your Data Integration and Interoperability specialist certification.

The course will cover the following:

  • An introduction to Data Management, within the context of Data Warehousing
  • Data Warehousing and Business Intelligence within the bigger context of Data Management
  • Types of Databases and the history of Data Warehousing
  • Data Warehousing and Business Intelligence – the theory
  • Exploring implementation best practices
  • Data Warehousing and Business Intelligence for AI
  • Big Data and Data Science
  • Data Analysis and Visualisation
  • Some practical real-life experience
  • An overview of the technology to assist, including AI tools.

Learning outcomes

On completion of the course, you will be able to:

  • Consider relevant aspects of Data Management when designing and building the Data Warehouse
  • Design the Data Warehouse Architecture to support existing Source Architectures
  • Design and build the ETL process to support Business Requirements
  • Develop appropriate supporting processes to enable the ongoing success and sustainability of the Data Warehouse
  • Deploy appropriate technology
  • Get the most out of your warehouse and analytics
  • Obtain your DAMA CDMP Data Warehousing & BI certification.

* A certificate of attendance will be provided on completion of the course

Intended participants

This workshop will be of interest to anyone working on implementing a Data Warehouse, such as:

  • Data Architects
  • Business Analysts
  • Data Analysts
  • Developers
  • Data Stewards

What delegates have to say

I recently completed an outstanding practical data warehouse training with IBPed, conducted by Di Joseph. The training was exemplary and unmatched compared to any online training I have encountered. Di Joseph’s extensive experience, spanning from the 1960s, provides invaluable first-hand insights into the evolution of technology and transformations in the field. Her profound knowledge and expertise make her an exceptional trainer. I highly recommend her for both individual data needs and organizational data training requirements.  Lebohang Handy (Revenue Services Lesotho)

Why train your team together?

Training a team together creates organisational capability. Transform learning into a shared operational improvement initiative, not just a once-off course.

When teams learn together:

  • Develop a shared understanding of terminology
  • Communicate more effectively
  • Implement new practises more easily
  • Strengthen accountability and ownership
  • Are able to apply consistent processes across the organisation
  • Collaborate better
  • Return aligned, motivated, and ready to execute.

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Request a Quote

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