CourseFlix

Introduction to Data Engineering

57m 26s
English
Paid

Unlock the potential of data with our comprehensive course designed for aspiring data engineers. Understand how to transform raw, unstructured data into valuable insights that drive business decisions and AI innovations. Welcome to the world of data engineering.

Why Data Engineering?

In today's digital age, companies of all sizes have access to massive amounts of data. However, the challenge lies in the fact that much of this data is unstructured. To extract actionable insights, improve decision-making processes, and enhance machine learning models, data must be meticulously cleaned, processed, and managed.

Course Objectives

This introductory course aims to equip you with fundamental skills in data engineering. You will:

  • Learn the importance and applications of data engineering in various sectors.
  • Gain hands-on experience with essential tools and technologies used by professional data engineers.
  • Understand the data lifecycle from acquisition to transformation and analysis.

What Will You Learn?

Data Cleaning and Preparation

Discover techniques for cleaning unstructured data to ensure accuracy and reliability. Learn how to deal with missing values, outliers, and data inconsistencies.

Data Processing and Management

Explore different methods for processing large datasets effectively. Get familiar with data management strategies that ensure data integrity and accessibility over time.

Tools of the Trade

Get acquainted with powerful tools such as SQL, Python, and data pipelining technologies that are essential for a career in data engineering.

Who Should Enroll?

This course is ideal for anyone looking to start a career in data engineering, as well as professionals seeking to enhance their data handling capabilities. Whether you're a beginner or a current data enthusiast, this course will provide you with valuable insights and skills.

Get Ready to Transform Data into Insight!

Join us on this educational journey to master the art of data engineering. Start your path toward a fulfilling career that elevates data-driven decision-making and innovation.

About the Author: Zero To Mastery

Zero To Mastery thumbnail

Zero To Mastery (ZTM) is a Toronto-based online coding academy founded by Andrei Neagoie, originally a senior developer at large Canadian tech firms before turning to teaching full-time. The academy's signature is the cohort-based bootcamp track combined with a deep self-paced course library, all aimed at career-changers and self-taught developers preparing to land software-engineering roles at top companies.

The instructor roster has grown well beyond Andrei to include other senior practitioners: Daniel Bourke (machine learning), Aleksa Tešić (DevOps), Jacinto Wong, and others. Courses cover the full software-engineering career path: web development with React and Next.js, Python, machine learning and deep learning, DevOps and cloud, system design, mobile, and the algorithm / data-structure interview prep that gates engineering jobs.

The CourseFlix listing under this source carries over 120 ZTM courses spanning that full range. Material is paid; ZTM itself runs on a monthly / annual membership model. The teaching style favours long-form, project-based courses where students build complete portfolio-quality applications rather than disconnected feature tutorials.

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#1: Introduction
All Course Lessons (11)
#Lesson TitleDurationAccess
1
Introduction Demo
03:25
2
What Is Data?
06:43
3
What is a Data Engineer - Part 1
04:22
4
What is a Data Engineer - Part 2
05:37
5
What is a Data Engineer - Part 3
05:05
6
What is a Data Engineer - Part 4
03:23
7
Types of Databases
06:51
8
Optional: OLTP Databases
10:55
9
Hadoop, HDFS and MapReduce
04:23
10
Apache Spark and Apache Flink
02:08
11
Kafka and Stream Processing
04:34
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Course content

11 lessons · 57m 26s
Lessons
  1. 1 Introduction 03:25
  2. 2 What Is Data? 06:43
  3. 3 What is a Data Engineer - Part 1 04:22
  4. 4 What is a Data Engineer - Part 2 05:37
  5. 5 What is a Data Engineer - Part 3 05:05
  6. 6 What is a Data Engineer - Part 4 03:23
  7. 7 Types of Databases 06:51
  8. 8 Optional: OLTP Databases 10:55
  9. 9 Hadoop, HDFS and MapReduce 04:23
  10. 10 Apache Spark and Apache Flink 02:08
  11. 11 Kafka and Stream Processing 04:34

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Frequently asked questions

What is Introduction to Data Engineering about?
Unlock the potential of data with our comprehensive course designed for aspiring data engineers. Understand how to transform raw, unstructured data into valuable insights that drive business decisions and AI innovations. Welcome to the…
Who teaches Introduction to Data Engineering?
Introduction to Data Engineering is taught by Zero To Mastery. You can find more courses by this instructor on the corresponding source page.
How long is Introduction to Data Engineering?
Introduction to Data Engineering contains 11 lessons with a total runtime of 57 minutes. All lessons are available to watch online at your own pace.
Is Introduction to Data Engineering free to watch?
Introduction to Data Engineering is part of CourseFlix's premium catalog. A CourseFlix subscription unlocks the full video player; the course description, table of contents, and preview information are available to everyone.
Where can I watch Introduction to Data Engineering online?
Introduction to Data Engineering is available to watch online on CourseFlix at https://courseflix.net/course/introduction-to-data-engineering. The page hosts every lesson with the integrated video player; no download is required.