Are you also struggling with the following questions?
Setting up a data warehouse and everything associated with it is not easy because:
- You know that with a data warehouse (DWH) you are working on “one version of the truth,” but can you enforce it?
- You eagerly await the moment when management information is no longer “conjured up” from a jumble of spreadsheets, but what do you do in the meantime?
- You want to have really useful historical information at your disposal. How can a data warehouse help you do that, and what should you think about?
- In what form should you cast your data model of a data warehouse and how do you achieve very fast response times?
- Which ETL tools and data warehouse automation tools are available and which is the best one for your specific situation?
- What is the best strategy if you want to put a DWH on the map with the business and management? In other words, ‘how do you sell the business case?’
- What should you pay attention to in order to guarantee the privacy of individuals? How will you comply with the General Data Protection Regulation (AVG) and how do you set up your data warehouse process accordingly?
- How do you set up a robust Data Governance structure and achieve a certain level of data perfection?
- How do you ensure that data quality within your organization gets and stays in order?
- And finally, how should you deal with developments around Big Data such as data lakes and Hadoop?
If you or your team are struggling with one or more of these questions, participation in our 3-day Data warehouse & Data Governance training course is highly recommended. Contact us and request a proposal for your company.
Build a tight data warehouse and set it up efficiently
You always strive for a certain degree of data perfection. Of course, you also have an eye for the costs and benefits of the project. But what is perhaps even more important: you are able to oversee the entire process and be a sparring partner for the business, (enterprise) architects as well as the technical people. Think for example of database administrators, ETL developers, data engineers and administrators. They have an important role in setting up and maintaining the DWH environment.
Training in practical Data warehouse tools
Data warehousing and especially data governance are specialized fields. Working on the intelligence of an organization without having the right skills and tools to do so often produces undesirable results. Our practical model covering all Data Governance tools and Data warehouse methodologies is the fastest and shortest route to resounding results. Even if there are, perhaps in different places in your organization, initiatives running around big data.
Contents of the Data warehouse & Data Governance course
During this complete Data warehouse & Data Governance course, in three days of three modules each, you will get extensively acquainted with data warehousing, ETL, data warehouse automation, data quality, data governance, performance, Big Data and developments in Data Science. But most of all, we will look at Business Intelligence as a higher goal of data warehousing and the success and failure factors. In these three days we are going to help you to be a full-fledged sparring partner of everyone involved in this matter.
Before going in depth with tools or data models, for example, this valuable three-day in-company training gives you a clear overview of the playing field. And it provides you with all the ingredients to achieve success with data warehousing & data governance.
Discover the success factors behind data-driven organizations
Our three-day in-company Data warehouse & Data Governance course addresses both the functional and technical aspects of (big) data. These include the data warehouse, architecture, master data management (MDM), metadata, data quality, data modeling, Data Governance frameworks and management. All of this, of course, must also comply with all legal regulations and security guidelines. But above all, the success factors of a data-driven organization are discussed.
Interactive training: learn from other trainees
Every training day, group discussions take place and participants work on practical assignments. This creates an optimal mix between theory and practice. Upon completion of this unique data training course, participants will receive a certificate from the Passionned Academy and a copy of the ‘Data Science Book‘ signed by Daan van Beek.
Additional information of this Data warehouse training
This Data warehouse & Data Governance training is done in-company. Some of its features are listed below:
✪ exempt from VAT
✪ no study load
✪ authenticated digital certificate
✪ from 9:00 AM to 5:00 PM
This course is also offered in Dutch and it is part of our 10-day Data Science training and CBIP certification.
Target group of the Data Science course
The master class is designed for people who need to build or maintain a (big) data warehouse and those who have to deal with Data Governance issues. This Data warehousing course is often attended by: (starting) functional and technical project leaders, BI specialists and consultants, information managers, CRM managers, (chief) Data Officers, data warehouse managers, data analysts, BI & management information officers, data engineers, (upcoming) BI & DWH managers and anyone who wants to start making a difference with data.
Achieved learning objectives at the end of this DWH course
- You know the differences between BI and AI and how to deal with Big Data, data lakes and Hadoop
- You are able to carefully weigh the various alternatives for a DWH architecture
- You can assess which DWH architecture fits perfectly with your company’s enterprise architecture
- You can put AI & Data Science in context, as a welcome addition to Business Intelligence
- You are able to interpret DWH and Data Governance trends and translate them to your organization
- You understand the importance of data warehousing, ETL and data quality
- You can clearly explain the different theories for data modeling
- You have insight into the functionality of the most important ETL and data warehouse automation tools
- You can draw up a business case for a data warehouse (DWH)
- You know how to set up a DWH process and architecture
- You have learned how to set up a robust Data Governance structure
- You understand the principles of the General Data Protection Regulation (AVG)
- Thanks to interaction with fellow course participants, you will feel equipped to successfully manage a DWH project
Request more information
Through our contact form you can request more information or a proposal for our Data warehouse & Data Governance training. If you have any questions about this training, please contact us directly.
About the lecturer
The lecturer Daan van Beek Msc, is an authority in the field of Business Intelligence and AI. With over 20 years of experience with Data Analytics, Daan brings a wealth of practical insights to the table. His extensive background and experience around the world equips him to guide participants through the intricacies of data warehousing, data quality, and data governance. He designed this course many years ago and is continuously refining it.
Reviews about Data Warehouse Training
Willemijn Vering | REMONDIS Nederland B.V.: Very interesting course, plenty of room for asking questions, and enjoyable real-world examples. Highly recommended!Ivo van de Pas | BCM Global: Very experienced trainer. Has good practical experience and knows how to convey it well.
Jeroen Schenk | Tenzinger b.v.: The content aligns well with the knowledge I currently require. I would appreciate the opportunity to discuss further the selected applications within our architecture (not limited to just MS Fabric).
Anoniem | Vitas Young Talent B.V.: Good explanation and clear! You notice that the trainer has a lot of experience and is able to adapt to each person. I am glad I took this course because I have many points I want to take with me to my company.
Anonymous | My Jewellery: Lots of information, much of it was very useful. Lots of variety between practice and theory. And Dick (instructor) plays well into the questions from the group.
Yelliz Mattheus | Wit-Gele Kruis van Vlaanderen: It is sufficiently interactive to ask questions specific to your own situation. Content goes very broad sometimes, so broad that it is difficult to apply in practice (very theoretical and conceptual).
Max Kamphuis | Tactus verslavingszorg: Very positive, good basic course with interactive program.
Karin Swets | Quantumma: It is very nice to hear the state-of-the-art from practitioners who support the theory with numerous practical examples. I myself also particularly enjoyed the interaction between the course participants during the execution of various practical assignments. Review of Training Datawarehouse & Data Governance