This AWS Data Engineering Course Online offers hands-on experience on the AWS platform and Data Engineering concepts. You will learn how to implement data engineering concepts on the AWS platform to build data engineering pipelines using Lambda, Athena, Glue, EMR, etc.
AWS Data Engineering Course Certification
Instructor
admin
- Description
- Curriculum
- FAQ
- Notice
- Reviews
Prerequisites
Prior programming experience using Python, an understanding of Spark concepts, and writing and interpreting SQL queries is necessary to experience a smooth learning journey in this AWS Data Engineering training course online.
What will you gain after this course
Upon completing the AWS Data Engineering Course Online, you will acquire job-ready skills through which you can develop your career in Data Engineering Domain. You will gain expertise in Data Engineering Services such as RD, Lambda, Athena, SQS, etc.
Jobs you can get
with a AWS Data Engineering Certification
- Data Engineer
- Big Data Engineer
- Cloud Data Engineer
- AWS Data Engineer
- Data Architect
- Big Data Architect
- Solution Architect
- Cloud Architect
- Data Analyst
- Machine Learning Engineer
- Business Intelligence Developer
- Data Warehouse Developer
Select your preferred training delivery mode
Hardware
Networking
Mobile Devices
Hardware & Networking Troubleshooting
Virtualization & Cloud Computing
Windows Operating System
Security
Software Troubleshooting
Operational Procedures
Q: What kind of support will I get during the course?
You will have access to assistance and support throughout the course. Additionally, you will have access to free mentorship, live chat for instant solutions, and mandatory feedback sessions.
Q: Will I have access to class recordings?
Yes, you will have access to the class recordings.
Q: What kind of roles can I expect after completing this course?
After completion of the Machine Learning Certification Course, you will be prepared for a career as a Machine Learning Engineer or Data Scientist. You can also work as a UK Data Scientist.
Design and Implement Data Storage
- Design a data storage structure
- Design a partitioning strategy
- Gen2 Design the serving layer
- Implement physical data storage structures
- Implement logical data structures
- Implement the serving layer
- pruning
Design and Develop Data Processing
- Ingest and transform data
- Design and develop a batch processing solution
- Design and develop a stream processing solution
- Manage batches and pipelines
Design and Implement Data Security
- Implement data security
Monitor and Optimize Data Storage and Data Processing
- Monitor data storage and data processing
- Optimize and troubleshoot data storage and data processing
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Course details
Duration
5 Days / 5 Weeks
Video
London, Flexible Online
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