Data Warehouse Projects: A Short Course for IT Executives

Learn how to be successful with data warehouse projects.

4.25 (130 reviews)
Udemy
platform
English
language
Other
category
instructor
Data Warehouse Projects: A Short Course for IT Executives
4,627
students
2 hours
content
Sep 2019
last update
FREE
regular price

What you will learn

You will be fully conversant in all managerial aspects of implementing a data warehouse.

You will be able to explain what exactly a data warehouse is, what it is not.

You will be able to understand relevant data warehouse terminology and definitions.

You will be able to understand basic data warehouse implementation concepts.

You will understand important human factors to consider in data warehouse projects.

You will know how to hire the right resources to build your data warehouse.

Why take this course?

--- **Course Title:** Data Warehouse Projects: A Short Course for IT Executives **Headline:** ๐Ÿš€ **Learn how to be successful with data warehouse projects!** **Description:** 2nd Edition now available! Dive into the world of data warehousing with our updated and comprehensive course designed specifically for IT Executives. Data warehouse projects are known for their complexity and hefty price tags, making it crucial for any organization to understand how to manage them effectively. This course is your guide to navigating through the intricacies of data warehousing, ensuring that your project is not only completed on time and within budget but also delivers tangible value from day one. **Why Take This Course?** - ๐Ÿญ **Mastering Management:** Learn how to manage the people and processes involved in bringing an enterprise data warehouse to initial operating capability. - ๐Ÿ“š **Understanding Core Concepts:** Get up to speed with common data warehouse terms, enabling you to communicate effectively with technical teams and stakeholders. - ๐Ÿ“ **Project Design & Documentation:** Be introduced to the essential documents needed for designing and building a data warehouse, ensuring a solid foundation for your project. - โš ๏ธ **Pitfall Avoidance:** Gain insights into the common pitfalls that can derail data warehouse projects and learn strategies to steer clear of them. - ๐Ÿ‘ฅ **Building Your Team:** Discover who you need in your team and how to select the right talent for your data warehousing project. **Updated Features in the 2nd Edition:** - ๐Ÿ”— **Resourceful Additions:** External resources have been carefully selected and linked to relevant lectures, enhancing your learning experience. - ๐Ÿ“บ **New Lectures Integrated:** Benefit from new content that was added after the initial publication, ensuring you get the most up-to-date information. - ๐ŸŽ™๏ธ **Professional Voice Talent:** The entire course has been re-recorded with professional voice talent to provide a clear, engaging, and high-quality audio experience. **Course Highlights:** - Learn the strategic and operational aspects of managing data warehouse projects. - Understand the business case for investing in a data warehouse. - Get familiar with data warehousing concepts without deep technical knowledge. - Discover best practices for selecting team members, including architects, DBAs, and analysts. - Explore real-world scenarios and case studies to solidify your understanding of data warehousing challenges and solutions. Enroll now and empower yourself with the skills and knowledge necessary to lead successful data warehouse projects and drive business value! --- **Enrollment Details:** To enroll in this course, simply click on the "Enroll Now" button and follow the instructions provided. Upon completion of the course, you will receive a certificate of accomplishment that you can add to your professional portfolio. Don't miss out on this opportunity to elevate your IT management skills!

Screenshots

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Our review

--- **Overall Course Rating:** 4.23 **Course Review:** **Pros:** - **Comprehensive Overview:** The course provides a solid overview of the essential technologies and skills required for setting up a data warehouse, making it an excellent starting point for learners at any level. - **Compact and Efficient Content:** It delivers high-value information in a concise format, which is both time and cost-effective for users. - **Expert Instruction:** Mr. Wakefield's delivery is engaging, clear, and personable, which is beneficial for learners looking to enhance their interview skills or simply gain valuable insights. - **Strategic Coverage of Topics:** The course covers critical topics within data warehousing, offering a broad understanding that can serve as a foundation for further study. **Cons:** - **Detail and Real-World Application:** Some users felt that the course could benefit from more in-depth information on convincing stakeholders and providing concrete examples, such as converting statements like "A data warehouse with a good ETL process saves time" into measurable business cases. - **Complexity for Experienced Learners:** Individuals with extensive experience in programming or data management may find some lectures challenging to digest initially, suggesting that revisiting the content could enhance comprehension. - **Expansion on Practical Applications:** Additional examples of 'Quick Wins' and strategies for implementing them would be highly beneficial for practical application in real-world scenarios. - **Advanced Learning Path:** Learners are looking forward to more advanced courses that delve into how organizations can leverage their data warehouses for applications like machine learning and AI after mastering the basics. - **Focus on Testing:** There is a demand for content on testing within the course, specifically around developing automated tests for ETL (Extract, Transform, Load) processes and DWH (Data Warehouse) testing to ensure data integrity and system performance. - **Alignment with Industry Terminology:** The course helps in understanding if the terminology used aligns with industry standards, which is crucial for communication with leadership teams or clients. **Additional Feedback:** - **Practical Examples:** Learners appreciate the practical nature of the course but suggest that more concrete examples and real-world case studies would enhance the learning experience by illustrating theoretical concepts in action. - **Clarity on Stakeholder Engagement:** More guidance on how to build a compelling business case for data warehouse initiatives, including metrics and KPIs that can justify investment, is sought after. **In Conclusion:** This course offers an effective and efficient introduction to the world of data warehousing, with a wealth of knowledge delivered in a clear and engaging manner by Mr. Wakefield. While it covers many fundamental aspects well, there is room for additional detail on critical topics such as ETL processes, stakeholder engagement strategies, and practical applications that could further elevate its usefulness. Users are excited about the potential for future courses that tackle more advanced topics and address specific skills like automated testing in a data warehouse context.

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1798148
udemy ID
7/14/2018
course created date
8/7/2019
course indexed date
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