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### **Data Engineering - Course Overview**
Data Engineering is a critical field in today's data-driven landscape, where the ability to harness,
transform, and manage data is vital for any organisation. This comprehensive course is
designed for individuals who want to develop a deep understanding of data engineering
concepts, tools, and best practices. Whether you are looking to kick-start your career in data
engineering or enhance your current skill set, this course provides the foundational knowledge
and practical experience you need to succeed in this exciting domain.
In this course, you will explore essential topics such as data architecture, data modelling, ETL
(Extract, Transform, Load) processes, data warehousing, and cloud-based data solutions. You
will learn to work with various tools and technologies commonly used in the industry, including
SQL, Python, Apache Spark, and cloud platforms like AWS and Google Cloud. By the end of the
course, you will be well-equipped to design and implement robust data pipelines, ensuring data
availability and quality for analytics and reporting.
What You Will Learn:
- Fundamental concepts of data engineering and its role within data ecosystems
- Design and implementation of scalable data architectures
- Data modelling techniques and best practices for relational and non-relational databases
- Hands-on experience with ETL processes and data transformation
- Overview of data warehousing concepts and architecture
- Utilizing cloud technologies for data storage and processing
- Effective use of tools and technologies like SQL, Python, Apache Spark, and more
- Strategies for ensuring data quality and integrity throughout the data lifecycle
Who Should T ake This Course:
- Aspiring data engineers looking to build a solid foundation in data engineering principles
- Data analysts and scientists who want to enhance their data-handling skills
- IT professionals aiming to transition into data engineering roles
- Business intelligence professionals seeking to understand the engineering side of data
- Anyone interested in learning how to manage and manipulate data effectively
Course Curriculum:
1. Introduction to Data Engineering
- What is Data Engineering?
- Role of Data Engineers in the Data Ecosystem
- Overview of the Data Engineering Workflow
2. Data Architecture Fundamentals
- Understanding Data Architecture
- Components of Data Architecture
- Designing Scalable Data Architectures
3. Data Modeling
- Introduction to Data Modeling Concepts
- Relational vs. Non-Relational Databases
- Hands-on Data Modeling Exercises
4. ETL (Extract, Transform, Load) Processes
- Overview of ETL Processes
- Extracting Data from Different Sources
- Transforming and Cleaning Data
- Loading Data into T arget Systems
5. Data Warehousing
- What is a Data Warehouse?
- Data Warehousing Concepts and Architecture
- Best Practices for Data Warehousing
6. Working with SQL
- Introduction to SQL for Data Engineering
- Writing Complex Queries
- Data Manipulation and Transformation using SQL
7. Introduction to Python for Data Engineering
- Basics of Python for Data Engineers
- Libraries for Data Engineering (Pandas, NumPy, etc.)
- Data Manipulation and Processing with Python
8. Big Data T echnologies
- Introduction to Big Data Concepts
- Overview of Apache Spark
- Processing Large Datasets with Spark
9. Cloud Data Engineering
- Overview of Cloud Platforms (AWS, Google Cloud)
- Using Cloud-Based Data Solutions
- Data Storage and Processing in the Cloud
10. Data Quality and Integrity
- Importance of Data Quality
- T echniques for Ensuring Data Quality
- Monitoring and Managing Data Integrity
11. Capstone Project
- Designing and Implementing a Data Engineering Pipeline
- Presenting the Project to Peers
- Peer Review and Feedback
Why Should I T ake This Course?
As organisations increasingly rely on data for strategic decision-making, the demand for skilled
data engineers is rising. By taking this course, you will gain in-demand skills that are highly
sought after in the job market. Whether starting your journey in data engineering or looking to
advance your career, this course will equip you with the knowledge and hands-on experience
necessary to excel in the field. Join us as part of the growing data engineering community, and
take your career to the next level!
Enjoy your learning !
Free
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