Certificate in
Foundation of Data Engineering
A data engineering foundation course typically covers the fundamental concepts and technologies needed to build and manage data pipeline and infrastructure. Key areas include data storage, data processing, data integration (ETL), data modeling, and cloud platforms. Specific topics often include relational and NoSQL databases, big data technologies like Hadoop and Spark, and cloud services on platforms like AWS, Azure, or GCP.
Learning Mode
Offline | Live Online
Course Duration
60-90 Hours
Skill Certification
Skill Certificate
Industry Expert Trainers
Learning from Industry Experienced Expert Trainers
Career Guidance
Career Guidance by Industry Experts
Employability Skills
Employability and Life Skills for Job Placement & Career
Foundation of Data Engineering Course Curriculum
Skills and Technologies Covered
Introduction to Data Engineering
- What is Data Engineering?
- Key Concepts
- Data Engineering Tools
Data Storage
- Relational Databases
- NoSQL Databases
- Data Warehousing
- Distributed File Systems
Data Processing
- Data Cleaning and Transformation
- Batch and Stream Processing:
- Big Data Technologies
- Data Pipeline Orchestration
Data Integration and ETL
- ETL Processes
- Data Integration Tools
Data Modeling and Architecture
- Data Modeling Techniques
- Data Architecture
Cloud Platforms and Services
- Cloud Computing
- Cloud Data Storage
- Cloud Data Processing
Data Quality, Governance, and Security
- Data Quality
- Data Governance
- Data Security
Emerging Trends
- Data Lakehouses
- Real-time Data Processing
- AI and Machine Learning
Practical Experience
- Hands-on Projects
- Case Studies
Why learn Foundation of Data Engineering Course from NR TECHNOLOGIES ?
Mode of Training
Classroom
Live Online
Week Days | Weekend
Course Duration
60-90 Hours curated for Emerging Tech Learning Aspirants career
Hands-On Practice
Hands-On Practices, Exercises by Industry Expert Trainers & Mentors
Skill Certification and
Career Guidance
Industry valid Certification and Career Guidance by Industry Expert
Software Tools and Frameworks covered
Disclaimer: NR TECHNOLOGIES reserves the right to modify, amend or change the structure of module & the curriculum, as per govt. guidelines and industry requirements
Progression Pathway of this Program
- AI Developer
- AI-Machine Learning Engineer
- AI-Data Quality Analyst
- AI-Data Scientist
- AI Associate
- AI-Data Engineer
- AI Data Associate
- AI-Database Administrator
Who can enroll in Foundation of Data Engineering Course ?
- CBSE | Matric Board : 9th, 10th, 111th, 12th Standard / Grade- all pursuing or completed Computer & Non Computer Science students
- State Board : 9th, 10th, 11th, 12th Grade all pursing or completed Computer and Non Computer Science students
Foundation Skill Training Program Process Flow
1. Apply
Online | Offline
Fill and apply to the course with applicant required details
2. Orientation & Counselling
Review your application then orient, counsel & finalize the right domain skills and career path
3. Enrollment & Skill Training
Enroll candidate selected skill course(s) and pay the course fee and proceed the course
4. Skill Certification
Assess candidate skills and provided industry valid certificate
5. Career Guidance
Career Guidance will be provided by Industrial Experts
Upcoming Batch Schedule
| Training Start Date | Name of Course(s) Start | Mode of Training | Batch Mode | Training Conduction Time Schedule | Batch Time & Duration | Course Fee Offer | Last Date to register avail Fee Offer | Are you interested to Join? |
|---|---|---|---|---|---|---|---|---|
|
03 Feb 2025 |
All Courses |
Class Room |
Weekdays (Mon – Fri) Weekend (Sat-Sun) |
07.00 AM – 10.00 PM Learners’ can choose any 1.5 Hrs to 2 Hrs batch track |
1.5 Hours Session/Day |
50% |
02 Feb 2025 |
|
|
03 Feb 2025 |
All Courses |
Live Online |
Weekdays (Mon – Fri) Weekend (Sat – Sun) |
As per Learners’ convenient time schedule |
1.5 Hours Session/Day |
50% |
02 Feb 2025 |
|
|
03 Feb 2025 |
All Courses |
Hybrid |
Live Online -Weekdays Weekend Offline- Practical & Doubt Resolution Sessions ( As per requirement-Weekend or Weekdays |
As per Learners’ convenient time schedule |
1.5 Hours Session/Day |
50% |
02 Feb 2025 |