Brochure
Enquire
- Welcome to Introduction to Data Engineering
- Modern Data Ecosystem
- Key Players in the Data Ecosystem
- What is Data Engineering?
- Viewpoints: Defining Data Engineering
- Viewpoints: Evolution of Data Engineering
- Responsibilities and Skillsets of a Data Engineer
- Viewpoints: Skills and Qualities to be a Data Engineer
- A Day in the Life of a Data Engineer
Quick Facts
| particular | details | |||
|---|---|---|---|---|
|
Medium of instructions
English
|
Mode of learning
Self study
|
Mode of Delivery
Video and Text Based
|
Course and certificate fees
certificate availability
Yes
certificate providing authority
Coursera
The syllabus
Module 1: What is Data Engineering?
Videos
Readings
- Summary and Highlights
- Summary and Highlights
Practice Exercises
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Module 2: The Data Engineering Ecosystem
Videos
- Overview of the Data Engineering Ecosystem
- Types of Data
- Understanding Different Types of File Formats
- Sources of Data
- Languages for Data Professionals
- Viewpoints: Working with Varied Data Sources and Types
- Overview of Data Repositories
- RDBMS
- NoSQL
- Data Warehouses, Data Marts, and Data Lakes
- Viewpoints: Considerations for Choice of Data Repository
- ETL, ELT, and Data Pipelines
- Data Integration Platforms
- Viewpoints: Tools, Databases, and Data Repositories of Choice
- Foundations of Big Data
- Big Data Processing Tools: Hadoop, HDFS, Hive, and Spark
- Viewpoints: Impact of Big Data on Data Engineering
Readings
- Summary and Highlights
- Summary and Highlights
- Summary and Highlights
Practice Exercises
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Module 3: Data Engineering Lifecycle
Videos
- Architecting the Data Platform
- Factors for Selecting and Designing Data Stores
- Security
- Viewpoints: Importance of Data Security
- How to Gather and Import Data
- Data Wrangling
- Tools for Data Wrangling
- Querying and Analyzing Data
- Performance Tuning and Troubleshooting
- Governance and Compliance
Readings
- Summary and Highlights
- Summary and Highlights
- Summary and Highlights
- Summary and Highlights
- Optional: Overview of the DataOps Methodology
Practice Exercises
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
- Practice Quiz
- Graded Quiz
Module 4: Career Opportunities and Data Engineering in Action
Videos
- Career Opportunities in Data Engineering
- Viewpoints: Get into Data Engineering
- Data Engineering Learning Path
- Viewpoints: What Do Employers Look for in a Data Engineer
- Viewpoints: The Many Paths to Data Engineering
- Viewpoints: Advice to Aspiring Data Engineers
Readings
- Summary and Highlights
- Congratulations and Next Steps
Practice Exercises
- Practice Quiz
- Graded Quiz
- Final Quiz
Instructors
Mr Rav Ahuja
Global Program Director
IBM
B.E /B.Tech, MBA
Ms Priya Kapoor
Content Developer
IBM
Articles
Popular Articles
prev
next
Similar Courses
Courses of your Interest
An Introduction To Coding Theory
IIT Kanpur via Swayam
C++ Foundation
PW Skills
Advanced CFD Meshing using ANSA
Skill Lync
Data Science Foundations to Core Bootcamp
Springboard
User Experience Design And Research
UM–Ann Arbor via Futurelearn
Fundamentals of Agile Project Management
UCI Irvine via Futurelearn
Artificial intelligence Design and Engineering wit...
CloudSwyft Global Systems, Inc via Futurelearn
prev
next
More Courses by IBM
R Programming Basics for Data Science
IBM via Edx
Threat Intelligence Lifecycle Fundamentals
IBM via Edx
Introduction to the Threat Intelligence Lifecycle
IBM via Coursera
Introduction to Web Development with HTML CSS Java...
IBM via Coursera
Introduction to Devops
IBM via Coursera
Data Scientist Career Guide and Interview Preparat...
IBM via Coursera
Data Analyst Career Guide and Interview Preparatio...
IBM via Coursera
Introduction to Software Programming and Databases
IBM via Coursera
Introduction to Cybersecurity Essentials
IBM via Coursera
prev
next
