Enroll Course: https://www.udemy.com/course/data-engineering-serverless-elt-bi-on-amazon-cloud/
In today’s data-driven world, the demand for skilled data engineers is skyrocketing. If you’re looking to dive into the world of data engineering and want to harness the power of AWS, then the Udemy course ‘Data Engineering, Serverless ETL & BI on Amazon Cloud’ is a fantastic option. This course is designed to demystify AWS Cloud and provide hands-on expertise in setting up a data warehouse in Redshift and establishing a BI infrastructure from scratch.
### Course Overview
AWS can be intimidating due to its vast array of services, but this course simplifies the learning process. It’s tailored for Data Scientists, Analysts, and Business Analysts who need to broaden their skill sets to include data ingestion, engineering, and warehousing. The course takes you through the entire lifecycle of a typical data engineering project, making it incredibly practical and relevant to real-world use cases.
### What You’ll Learn
The course covers a variety of essential topics, including:
– Setting up a data warehouse in AWS Redshift from scratch
– Basic Data Warehousing Concepts
– Writing server-less AWS Glue Jobs using PySpark and Python Shell for ETL and batch processing
– Utilizing AWS Athena for ad-hoc analysis
– Employing AWS Data Pipeline to sync incremental data
– Creating Lambda functions to trigger and automate ETL/Data syncing processes
– QuickSight setup, analyses, and dashboards
### Prerequisites
Before you enroll, you should have a basic understanding of Python and SQL, as these are essential for the course. Familiarity with PySpark is also beneficial. The course encourages a willingness to explore and learn, which is crucial for success.
### Hands-On Experience
One of the standout features of this course is its hands-on approach. You’ll be using AWS’s free tiers for Redshift and RDS, ensuring that you can practice without incurring costs, as long as you stay within the limits. The course emphasizes execution and understanding over heavy coding, making it accessible even for those who may not be proficient coders.
### Learning Tips
To maximize your learning experience, consider watching the videos at 1.2X speed. Additionally, when exploring new components or features, research other tools that serve similar purposes. For instance, compare Redshift/Athena with Snowflake or BigQuery, and QuickSight with PowerBI or Microstrategy. This will deepen your understanding and give you a broader perspective on the tools available in the market.
### Conclusion
Overall, ‘Data Engineering, Serverless ETL & BI on Amazon Cloud’ is an excellent course for anyone looking to enhance their data engineering skills on AWS. With its practical approach and comprehensive coverage of key topics, it equips you with the knowledge needed to tackle real-world data challenges. Whether you’re a beginner or looking to solidify your existing knowledge, this course is a valuable investment in your professional development.
If you’re ready to take the plunge into the world of data engineering, I highly recommend enrolling in this course on Udemy. Happy learning!
Enroll Course: https://www.udemy.com/course/data-engineering-serverless-elt-bi-on-amazon-cloud/