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  3. Data Warehousing: Schema, ETL, Optimal Performance

Data Warehousing: Schema, ETL, Optimal Performance

This course focuses on the fundamental aspects of data warehousing, including schema design, extract, transform, load (ETL) processes, and techniques for optimizing performance.

Caio Avelino
Caio Avelino
Business | core | 1 hour |   Published: Nov 2024
In partnership with: Coursera

    Discussions

Overview

1KSTUDENTS*
98.8%RECOMMEND*

This course includes:

  • 1 hour of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

Data warehousing is a critical component of modern business intelligence, providing a centralized repository for structured and organized data. This course focuses on the fundamental aspects of data warehousing, including schema design, extract, transform, load (ETL) processes, and techniques for optimizing performance. 

 

This course is tailored for Data Engineers, Database Administrators, Business Intelligence Developers, and Data Analysts who are looking to deepen their understanding of data warehousing. These professionals play a crucial role in managing and analyzing vast amounts of data, ensuring that organizations can leverage this data for strategic decision-making. 

 

To gain the most from this course, participants should have a basic knowledge of databases and SQL. Familiarity with these foundational concepts is essential as it will allow learners to effectively grasp the more advanced topics covered in the course. 

 

Upon completing this course, learners will be able to explain the importance of data warehousing in business intelligence, highlighting how it supports decision-making processes. They will also gain the skills to design and implement effective schema designs for data warehouses, ensuring data is organized and accessible.

Skills You Will Gain

Data Warehousing
Schema Design
ETL
Performance Optimization
Star Schema
Snowflake Schema
ETL Tools

Learning Outcomes (At the end of this program you will be able to)

  • Explain the importance of data warehousing in business intelligence. 
  • Design and implement effective schema designs for data warehouses. 
  • Implement ETL processes to load and transform data into a data warehouse. 
  • Apply performance optimization techniques to enhance data warehouse efficiency. 

Prerequisites

To gain the most from this course, participants should have a basic knowledge of databases and SQL. Familiarity with these foundational concepts is essential as it will allow learners to effectively grasp the more advanced topics covered in the course. This background knowledge will enable participants to engage more deeply with the material, understand the practical applications, and apply the techniques discussed to real-world scenarios.

Who Should Attend

This course is tailored for Data Engineers, Database Administrators, Business Intelligence Developers, and Data Analysts who are looking to deepen their understanding of data warehousing. These professionals play a crucial role in managing and analyzing vast amounts of data, ensuring that organizations can leverage this data for strategic decision-making. By enhancing their skills in data warehousing, participants will be better equipped to contribute to their organizations' business intelligence efforts and improve overall data management practices.

Curriculum

Instructors

Frequently Asked Questions

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Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 01: Introduction to Data Warehousing Concepts
2Module 02: ETL Implementation and Optimization
3Module 03: Performance Optimization and Best Practices

Segment 08: Performance Optimization Strategies

Segment 09: Query Optimization Techniques

Segment 10: Best Practices for Data Warehousing

Segment 11: Congratulations and Continuous Learning Journey

Segment 01: Comprehending Data Warehousing

Segment 02: Introduction to the Course & Meet Your Instructor

Segment 03: Schema Design Principles

Segment 04: Introduction to ETL Processes

Segment 05: Data Extraction Techniques

Segment 06: Data Transformation and Cleaning

Segment 07: Loading Data into Data Warehouses

Caio Avelino

Caio Avelino

Caio is an experienced instructor on our platform, bringing a wealth of expertise in data science, machine learning, and related fields. With a background in electrical engineering and extensive hands-on experience in data analysis, he has developed a deep understanding of business intelligence, data science, and artificial intelligence. His passion for continuous learning and problem-solving is evident in his active involvement in courses and projects that expand his knowledge and skill set.

Caio has a proven track record of success in dynamic environments, ranging from startups to established companies, where he has sharpened his skills in project management, data analysis, and team leadership. As the Head of Data at a leading e-commerce company, he leads data science initiatives, develops algorithms, and utilizes tools like Databricks for machine learning applications.

In addition to his industry experience, Caio has served as an instructor on platforms such as Coursera and Udemy, showcasing his commitment to education and knowledge sharing. He holds certifications in data engineering and real-time analytics and is proficient in key programming languages like SQL and Python. Through his comprehensive training programs, Caio equips aspiring data professionals with the tools and insights they need to succeed. His dedication to mentorship and empowering others aligns seamlessly with our platform’s mission to deliver high-quality education in data science and related disciplines.

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