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Advanced Data Engineering
Alfredo Deza
and
Noah Gift
Alfredo Deza
and
Noah Gift
Master Scalable Data Engineering with Cutting-Edge Tools
Read more
Master Scalable Data Engineering with Cutting-Edge Tools
Read more
Master Scalable Data Engineering with Cutting-Edge Tools
- Learn to handle massive datasets efficiently with this advanced course
- Gain practical expertise in scaling data systems using modern technologies
- Ideal for data scientists, engineers & professionals with data handling experience
Course Highlights:
- Leverage Celery & RabbitMQ for scalable data consumption
- Optimize workflows with Apache Airflow for efficient management
- Utilize Vector & Graph databases for robust data management at scale
- Hands-on projects for real-world experience in solving data challenges
- Create scalable systems & analyze performance for optimum results
Upskill to design, build & optimize data engineering pipelines that can handle complex, large-scale datasets. Prepare for demanding data roles by mastering advanced techniques with this comprehensive training.
Register for this course and see more details by visiting:
OpenCourser.com/course/9zvusz/advanced
What's inside
Learning objectives
- Create and manage data pipelines and their lifecycle
- Connect and work with message queues to manage data processing
- Use vector, graph, and key/value databases for data storage at scale
- Create and manage data pipelines and their lifecycle
- Connect and work with message queues to manage data processing
- Use vector, graph, and key/value databases for data storage at scale
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Appropriate for data scientists and engineers as well as professionals with experience in data handling
Builds a foundation for beginners and strengthens an existing foundation for intermediate learners
Develops professional skills and deep expertise in advanced data engineering techniques
Teaches skills, knowledge, and tools that are highly relevant to industry
Prepares for demanding data roles by mastering advanced techniques
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Activities
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Advanced Data Engineering.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Advanced Data Engineering will develop knowledge and skills
that may be useful to these careers:
Data Engineer
Data Engineer
A Data Engineer designs, constructs, and oversees data systems. These systems handle the collection, storage, and manipulation of data from many sources. They create and optimize pipelines to ensure data reliability and support data-driven workflows. This course can help by giving a stronger foundation in scaling data systems with modern technologies.
Data Warehouse Architect
Data Warehouse Architect
Data Warehouse Architects design and implement data warehouses. They work with a variety of stakeholders, including business analysts, data scientists, and database administrators. This course can help you learn about the latest tools and techniques for handling large-scale data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models. They work with data scientists to gather and prepare data, and then they develop and deploy models that can learn from data and make predictions. This course is a great way to learn about the tools and techniques used to scale data systems for machine learning.
Data Warehouse Developer
Data Warehouse Developer
Data Warehouse Developers design and develop data warehouses. They work with a variety of stakeholders, including business analysts, data scientists, and database administrators. This course can help you learn about the latest tools and techniques for handling large-scale data.
Data Scientist
Data Scientist
A Data Scientist investigates data to find trends and patterns. They build and maintain models to predict outcomes or make recommendations. The course is a great resource for learning how to handle massive datasets efficiently, which is a very common task for a Data Scientist.
Database Developer
Database Developer
Database Developers design and develop databases. They work with a variety of stakeholders, including database administrators, data analysts, and software engineers. This course can help you learn about the latest tools and techniques for handling large-scale data.
Data Analyst
Data Analyst
Data Analysts clean, prepare, and analyze large datasets to provide valuable information to organizations. This course is a great option for learning about modern data handling tools and techniques, which will be essential to any Data Analyst.
Database Administrator
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. They ensure that data is stored securely and efficiently, and they optimize database performance. This course can help you learn about the latest technologies and techniques for managing large-scale databases.
Data Architect
Data Architect
Data Architects design and implement data architectures. They work with a variety of stakeholders, including business analysts, data scientists, and database administrators. This course can help you learn about the latest tools and techniques for handling large-scale data.
Data Governance Analyst
Data Governance Analyst
Data Governance Analysts develop and implement data governance policies and procedures. They work with a variety of stakeholders, including business leaders, data stewards, and IT staff. This course can help you learn about the latest tools and techniques for handling large-scale data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. They work with a variety of technologies, including databases, operating systems, and programming languages. This course can help you learn about the latest tools and techniques for handling large-scale data.
Cloud Architect
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They work with clients to understand their business needs and then design and implement solutions that meet those needs. This course can help you learn about the latest technologies and techniques for handling large-scale data in the cloud.
Business Analyst
Business Analyst
Business Analysts help organizations understand their business needs and then develop solutions to meet those needs. They work with a variety of stakeholders, including customers, employees, and executives. This course can help you learn about the latest tools and techniques for handling large-scale data.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. They work with a variety of stakeholders, including engineers, designers, and marketers. This course can help you learn about the latest tools and techniques for handling large-scale data.
Project Manager
Project Manager
Project Managers plan and execute projects. They work with a variety of stakeholders, including clients, team members, and executives. This course can help you learn about the latest tools and techniques for handling large-scale data.
For more career information including salaries, visit:
OpenCourser.com/course/9zvusz/advanced
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Advanced Data Engineering.
Save
Covers principles and patterns for designing and building data-intensive applications. Provides in-depth insights into distributed systems, data storage, and data processing.
Save
Provides a comprehensive overview of different NoSQL database technologies, including vector, graph, and key/value databases. Useful for understanding the advantages and use cases of each technology.
Save
A practical guide to using RabbitMQ for message queuing. Covers concepts, configuration, and advanced topics such as clustering and security.
Save
Provides a high-level overview of big data principles and technologies. Covers topics such as data processing, storage, and analytics, with a focus on real-time applications.
Vector database are covered in this course. Elasticsearch is an essential tool for building, deploying, and managing vector databases at scale. provides in-depth guide to doing so.
Save
Provides practical guidance on optimizing Apache Spark performance for large-scale data processing. Focuses on techniques for improving performance, scalability, and efficiency.
Save
Introduces graph databases and their applications for managing connected data. Covers concepts, implementation, and case studies.
Introduces Python libraries for data analysis, such as NumPy, Pandas, and Matplotlib. Covers topics such as data manipulation, data visualization, and statistical analysis.
Focuses on using MapReduce for text processing tasks. Covers topics such as natural language processing, text classification, and information retrieval.
A beginner-friendly introduction to data science. Covers topics such as data analysis, machine learning, and data visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/9zvusz/advanced
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Effort
3 to 6 hours per week for 4 weeks
Level
Advanced
Via
edX
Institution
Pragmatic AI Labs
Instructors
Alfredo Deza
Noah Gift
Session
March 13, 2024
- March 14, 2025
Language
English
Transcript
English
Good to know
Appropriate for data scientists and engineers as well as professionals with experience in data handling
Builds a foundation for beginners and strengthens an existing foundation for intermediate learners
Develops professional skills and deep expertise in advanced data engineering techniques
Teaches skills, knowledge, and tools that are highly relevant to industry
Prepares for demanding data roles by mastering advanced techniques
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