Data Pipelines for Newbies: Building Strong Data Fundamentals

Join our Flagship Cohort & Project-based Data Science and AI Program Led by DataU Instructors. Request Syllabus: https://wedatau.org/?fluent-form=3 Dismiss

0 (0 Ratings)

Data Pipelines for Newbies: Building Strong Data Fundamentals

Categories Data Engineering

Wishlist

Course Curriculum

Introduction to Data Engineering
In this topic, you'll learn the basics of data engineering, its significance, and the role of a data engineer. You will also get familiar with key terminologies used in the field.

What & Why Data Engineering?
The Role of Data Engineer
Key Concepts and Terminologies
Data Engineering Concepts

Data Engineering Ecosystem
In this section, you will explore the data engineering ecosystem. We will cover the data engineering lifecycle and delve into the key components involved in the process. This will provide a clear understanding of how data flows through a system and how it is managed, processed, and utilized.

Data Quality
In this section, you will learn about the importance of data quality in data engineering. We will cover the basics of data quality, why it is crucial, and explore various techniques and tools used to ensure high data quality.

Data Warehousing
In this section, you will delve into the world of data warehousing. We will cover the basics of data warehousing, explore different architectures, and discuss popular data warehousing solutions used in the industry.

Practical Demonstration and Recap
In this topic, you'll see a detailed demonstration of a complete ETL pipeline, followed by a recap of the key concepts covered in the course. You'll also participate in an interactive reflection session.

Add this certificate to your CV profile to demonstrate your skills & increase your chances of getting noticed.

Student Ratings & Reviews

No Review Yet

Level

Beginner
Total Enrolled

22
Duration

3 hours
Last Updated

January 2, 2025
Certificate

Certificate of completion

A course by

Som Brathna Sout

Data Engineer/ML engineer

Data Pipelines for Newbies: Building Strong Data Fundamentals

What I will learn?

Course Curriculum

Introduction to Data Engineering
In this topic, you'll learn the basics of data engineering, its significance, and the role of a data engineer. You will also get familiar with key terminologies used in the field.

What & Why Data Engineering?

The Role of Data Engineer

Key Concepts and Terminologies

Data Engineering Concepts

Overview of the Data Engineering Lifecycle

Data Engineering Lifecycle Quiz

Data Quality
In this section, you will learn about the importance of data quality in data engineering. We will cover the basics of data quality, why it is crucial, and explore various techniques and tools used to ensure high data quality.

What is Data Quality and Why is it Important?

Ensuring Data Quality Concepts

Data Quality Quiz

Data Warehousing
In this section, you will delve into the world of data warehousing. We will cover the basics of data warehousing, explore different architectures, and discuss popular data warehousing solutions used in the industry.

Introduction to Data warehousing

Data Warehousing Architectures

Data Warehouse Modeling

Practical Demonstration and Recap
In this topic, you'll see a detailed demonstration of a complete ETL pipeline, followed by a recap of the key concepts covered in the course. You'll also participate in an interactive reflection session.

Data Ingestion phase

Data Transformation phase

Loading Phase

Pipeline Orchestration

Earn Your Certificates

A course by

Material Includes

Requirements

Tags

Target Audience

PROGRAMS

COMPANY

COMMUNITY

Data Pipelines for Newbies: Building Strong Data Fundamentals

What I will learn?

Course Curriculum

Introduction to Data Engineering In this topic, you'll learn the basics of data engineering, its significance, and the role of a data engineer. You will also get familiar with key terminologies used in the field.

What & Why Data Engineering?

The Role of Data Engineer

Key Concepts and Terminologies

Data Engineering Concepts

Overview of the Data Engineering Lifecycle

Data Engineering Lifecycle Quiz

Data Quality In this section, you will learn about the importance of data quality in data engineering. We will cover the basics of data quality, why it is crucial, and explore various techniques and tools used to ensure high data quality.

What is Data Quality and Why is it Important?

Ensuring Data Quality Concepts

Data Quality Quiz

Data Warehousing In this section, you will delve into the world of data warehousing. We will cover the basics of data warehousing, explore different architectures, and discuss popular data warehousing solutions used in the industry.

Introduction to Data warehousing

Data Warehousing Architectures

Data Warehouse Modeling

Practical Demonstration and Recap In this topic, you'll see a detailed demonstration of a complete ETL pipeline, followed by a recap of the key concepts covered in the course. You'll also participate in an interactive reflection session.

Data Ingestion phase

Data Transformation phase

Loading Phase

Pipeline Orchestration

Earn Your Certificates

Student Ratings & Reviews

A course by

Material Includes

Requirements

Tags

Target Audience

PROGRAMS

COMPANY

COMMUNITY

Introduction to Data Engineering
In this topic, you'll learn the basics of data engineering, its significance, and the role of a data engineer. You will also get familiar with key terminologies used in the field.

Data Quality
In this section, you will learn about the importance of data quality in data engineering. We will cover the basics of data quality, why it is crucial, and explore various techniques and tools used to ensure high data quality.

Data Warehousing
In this section, you will delve into the world of data warehousing. We will cover the basics of data warehousing, explore different architectures, and discuss popular data warehousing solutions used in the industry.

Practical Demonstration and Recap
In this topic, you'll see a detailed demonstration of a complete ETL pipeline, followed by a recap of the key concepts covered in the course. You'll also participate in an interactive reflection session.