IBM

Introduction to Data Engineering

This course is part of multiple programs.

Taught in English

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Rav Ahuja
Priya Kapoor

Instructors: Rav Ahuja

132,202 already enrolled

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Course

Gain insight into a topic and learn the fundamentals

4.7

(2,425 reviews)

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95%

Beginner level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • List basic skills required for an entry-level data engineering role.

  • Discuss various stages and concepts in the data engineering lifecycle.

  • Describe data engineering technologies such as Relational Databases, NoSQL Data Stores, and Big Data Engines.

  • Summarize concepts in data security, governance, and compliance.

Details to know

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Assessments

21 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.7

(2,425 reviews)

|

95%

Beginner level

Recommended experience

12 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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There are 4 modules in this course

In this module, you will learn about the different entities that come together to form a modern data ecosystem and the role Data Engineers, Data Scientists, Data Analysts, Business Analysts, and Business Intelligence Analysts play in this ecosystem. You will learn what data engineering is and the key tasks in a data engineering lifecycle. You will also gain an understanding of the responsibilities of a data engineer, the skillsets they need in order to be successful, and what a typical day in the life of a data engineer looks like.

What's included

9 videos2 readings4 quizzes

In this module, you will learn about the data engineering ecosystem, the different types of data structures, file formats, sources of data, and the languages data professionals use in their day-to-day tasks. You will gain an understanding of several different types of data repositories such as relational and non-relational databases, data warehouses, data marts, and data lakes. You will learn about ETL and ELT processes, data pipelines, and data integration platforms. You will also gain an understanding of what big data is, and the tools used for processing and storing big data. At the end of this module, you will be guided to create an IBM Cloud account, and provision an instance of IBM Db2.

What's included

18 videos4 readings6 quizzes1 app item3 plugins

In this module, we will walk you through the data engineering lifecycle. You will learn about the architecture of a data platform, factors for selecting and designing data stores, and the different facets of security as it applies to data platforms and data lifecycle management. You will also learn about the process, steps, and tools used for gathering, importing, wrangling, and querying data. You will gain an understanding of performance monitoring and the steps you can take to troubleshoot performance issues. We will also talk about governance regulations, why we need them, and how technology enables compliance to regulations. During the course of this module, you will be guided to load data from a CSV file into the IBM Db2 instance you created in the previous module. You will also be guided to explore your dataset using some basic SQL queries that will be provided to you.

What's included

10 videos5 readings8 quizzes2 app items2 plugins

In this module, you will learn about career opportunities in the field of Data Engineering and the different paths that you can take for getting skilled as a Data Engineer. At the end of the module, you will be presented with the final graded assignment which is divided into two parts. The first part of the final assignment includes a couple of quiz questions and the second part includes open-ended questions that will be reviewed and graded by a peer.

What's included

6 videos2 readings3 quizzes1 peer review1 plugin

Instructors

Instructor ratings
4.7 (880 ratings)
Rav Ahuja
IBM
52 Courses2,464,835 learners

Offered by

IBM

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