Introduction to Data Engineering

IBM via Coursera

Beginner

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                                    Medium of instructions
                                    English

                                    Mode of learning
                                    Self study

                                    Mode of Delivery
                                    Video and Text Based

Videos

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

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

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

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

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Introduction to Data Engineering

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The syllabus

Module 1: What is Data Engineering?

Videos

Readings

Practice Exercises

Module 2: The Data Engineering Ecosystem

Videos

Readings

Practice Exercises

Module 3: Data Engineering Lifecycle

Videos

Readings

Practice Exercises

Module 4: Career Opportunities and Data Engineering in Action

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