The Course
Dive into the world of data by mastering the essential skills you need to manipulate, process, and analyze large datasets. This hands-on program delves into the nitty-gritty of data engineering, covering everything from ETL processes, data modeling, and warehousing to working with cutting-edge tools like Apache Hadoop, Spark, and cloud services. You'll learn how to build robust data pipelines, manage data in a variety of storage systems, and ensure the seamless flow of data through various components.
Equipping you with both theoretical knowledge and practical experience, the course is designed to prepare you for the ever-evolving challenges of the data industry. You'll walk away with a powerful toolkit that includes the ability to develop and maintain scalable data architecture, ensuring you can handle real-world data processing tasks with confidence. Whether you're aiming to break into the field or wanting to upskill, you'll find that the insights gained here are crucial for a career in any data-centric role.
What you will learn
Starting off in the world of data can feel overwhelming, can't it? This course was carefully crafted with that in mind, designed to lay down a solid foundation while steering clear of unnecessary jargon that might toss you in at the deep end. It's packed with real-life scenarios to translate theory into practice seamlessly. You’ll love how each module connects the dots, building on the one before, so it all starts to make sense without feeling like you're trying to drink from a fire hose. Plus, the thoughtful organization ensures that help is there when you need it, keeping everything manageable and enjoyable as you embark on this journey into data engineering.
Curriculum
- 1. Introduction to AWS & IAM (127:33)
- 2. Networking (123:55)
- 3. Storage S3 (145:13)
- 4. Workshop 1 (118:25)
- 5. EC2 (108:11)
- 6. EC2_cont & ELB_ASG (112:54)
- 7. Database: RDS + Aurora + Elasticache (113:24)
- 8. Workshop 2 (126:17)
- 9. Database: RDS + Aurora + Elasticache (cont) (111:24)
- 10. CloudFront & Route 53 (114:35)
- 11. Decoupling Application: SQS & SNS & Kinensis (112:59)
- 12. Workshop 3 (100:37)
- 13. Container (95:27)
- 14. Serverless (99:56)
- 15. Dabase, Data, and Data Analytics in AWS (90:43)
- 16. Machine Learning & AWS Monitoring, Audit, and Performace (95:20)
- Power BI Introduction (151:41)
- Data Transformation with Power Query (128:55)
- Data Modeling in Power BI - Part 1 (133:08)
- Data Modeling in Power BI - Part 2 (125:55)
- Relationship & DAX Language Basic (120:50)
- DAX Language Practice (125:52)
- Power BI Service Introduction - Part 1 (109:19)
- Power BI Service Introduction - Part 2 (117:48)
- Introduce SQL Server (145:25)
- SQL Query Statements (141:24)
- Debug, Join & Sub-query in SQL (128:08)
- Case-When, Window Function & SQL practice (123:51)
- Pivot Table, UDF and Stored Procedure in SQL (132:55)
- Basic Optimization SQL Server (127:07)
- Practice SQL Test Platform (135:09)
- SQL Graph Basic (122:10)
- Introduce to Python & Basic syntax (102:51)
- Read files & Algorithms (131:04)
- Basic Data Analysts with Python (113:14)
- Intermediate Data Analysis with Python (153:20)
- Automate task with Python (122:32)
- PySpark & JSON (84:23)
- Practice Python Test Platform (114:22)
- APIs and Demo Project Data Analysis with Python (120:55)
Your instructor
With over a decade of experience navigating the vast and ever-evolving landscape of data engineering, Hieu Mai has established himself as a leader and innovator in the field. His journey has been marked by a commitment to excellence, consistently staying ahead of the curve by mastering emerging technologies and methodologies. From designing robust data pipelines to deploying scalable storage solutions, Hieu has engineered infrastructures that empower organizations to harness the full potential of their data assets.
As the architect and instructor of the "JRM Data Engineer" course, Hieu brings a unique blend of theoretical knowledge and practical expertise. His passion for data engineering is matched only by his dedication to mentoring the next generation of data professionals. Hieu is deeply invested in the success of his students, drawing on real-world scenarios to provide a comprehensive learning experience. He firmly believes that the skills taught in the "JRM Data Engineer" course are critical for anyone looking to make a significant impact in the field and strives to ignite a similar passion in those he teaches.
Advanced
Mastering Complex Data Systems
Comprehensive
A-Z in Big Data Engineering
Innovative
Next-Gen Technologies in Data Processing