Intro to Data Engineering

Intro to Data Engineering, available at $54.99, has an average rating of 4.41, with 46 lectures, 2 quizzes, based on 206 reviews, and has 1565 subscribers.

You will learn about Determine if data engineering is the right career choice for you Learn data engineering fundamentals Acquire key technical data engineering skills Discover potential career paths within data engineering Benefit from the knowledge of an experienced data engineer Learn strategies to enhance data processes at your company This course is ideal for individuals who are Aspiring data engineers or Introductory data engineers looking to improve their skills It is particularly useful for Aspiring data engineers or Introductory data engineers looking to improve their skills.

Enroll now: Intro to Data Engineering

Summary

Title: Intro to Data Engineering

Price: $54.99

Average Rating: 4.41

Number of Lectures: 46

Number of Quizzes: 2

Number of Published Lectures: 46

Number of Published Quizzes: 2

Number of Curriculum Items: 48

Number of Published Curriculum Objects: 48

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Determine if data engineering is the right career choice for you

Learn data engineering fundamentals

Acquire key technical data engineering skills

Discover potential career paths within data engineering

Benefit from the knowledge of an experienced data engineer

Learn strategies to enhance data processes at your company

Who Should Attend

Aspiring data engineers

Introductory data engineers looking to improve their skills

Target Audiences

Aspiring data engineers

Introductory data engineers looking to improve their skills

Do you want to find out if Data Engineering is the right career path for you?

Are you interested in exploring one of the hottest tech professions?

If that’s the case, then our Intro to Data Engineeringcourse is the perfect fit for you. Learn data engineering from course instructor Shashank Kalanithi, who has rich experience in the data and tech field. He has held roles as a data analyst, data scientist, data engineer, and currently works as a software engineer at Meta. Shashank is passionate about teaching and is eager to pass on his experience to you. His engaging teaching style combined with his notable professional experience make him the perfect tutor for you.

But what does a data engineer do? A data engineer designs, builds, and maintains systems for collecting, storing, and analyzing data.

Ourdata engineeringcourse is perfect for people who are looking into a career in data engineering, as well as for those who have already landed a data engineering job but are still in the early days of their journey.

Why is this the perfect course for data newcomers? You will:

Be able to determine if data engineering is a career path that interests you

Understand the difference between common roles: data analyst vs data scientist vs data engineer vs software engineer (note: data engineering skills allow you to transition to any of the other roles as you advance in your career)

Learn fundamental data engineering concepts, how to become a data engineer, and how to land your first job

Why is this the perfect course for entry level data engineers? You will:

Gain a big picture understanding of the data engineering field and its requirements

Benefit from Shashank’s years of experience and gain valuable insights to excel in your job

Understand the different paths you can take in your career progression

Discover methods to enhance data engineering processes within your company

What’s included in our data engineer training?

Intro to Data Engineering begins with an overview of the data engineering career path. You will learn about the data engineering role, the technical skills needed on the job, and the different potential paths for career development.

Then, you will learn about data architecture—a critical topic in data engineering. This field involves creating a structured framework for managing data. You’ll also explore data orchestration, which is the automation of the flow and processing of data across different systems.

Our data engineering course also covers relational databases, non-relational databases, and the software engineering skills required for data engineering. You will learn about crucial data engineering tools and frameworks like SQL, NoSQL, Python, APIs, Version Control, Docker and Containerization, Hadoop, Spark, Kafka, and more. Finally, Shashank will wrap up the Intro to Data Engineering course with insights on important aspects like data security and privacy.

We hope you are very excited about this course! Start your data engineering journey today!

Course Curriculum

Chapter 1: Introduction

Lecture 1: What Will This Course Teach You

Chapter 2: Data Engineering Career

Lecture 1: What is a Data Engineer?

Lecture 2: Data Engineering Lifecycle

Lecture 3: Similar Careers to Data Engineering

Lecture 4: Data Engineering Service Models

Lecture 5: Data Engineer Leveling Guide

Lecture 6: Technical Skills of a Data Engineer

Chapter 3: Data Architecture

Lecture 1: What Is Data Architecture?

Lecture 2: A Sample Data Architecture

Lecture 3: Data Lakes, Swamps, Warehouses, and Marts

Lecture 4: Modern Data Stack

Lecture 5: Connecting to Data

Lecture 6: Good Data Architecture

Chapter 4: Data Orchestration

Lecture 1: Data Pipelines and Data Orchestration

Lecture 2: Apache Airflow

Chapter 5: Relational Databases

Lecture 1: Relational Database Overview

Lecture 2: Organizing Relational Databases

Lecture 3: Relational Database Types

Lecture 4: Interacting with Relational Databases: SQL

Chapter 6: Non-relational Databases

Lecture 1: ACID Properties

Lecture 2: Document Databases

Lecture 3: Key-Value Database

Lecture 4: Object Storage

Lecture 5: Columnar Database

Lecture 6: Graph Database

Lecture 7: No-SQL Database Questions

Chapter 7: Software Engineering

Lecture 1: Horizontal Scaling vs Vertical Scaling

Lecture 2: Python

Lecture 3: APIs

Lecture 4: Shell Scripting

Lecture 5: Cron

Lecture 6: Version Control – Git – Mercurial

Lecture 7: Testing

Lecture 8: Docker and Containerization

Lecture 9: Infrastructure Management

Chapter 8: Big Data Engineering

Lecture 1: What is Big Data?

Lecture 2: Hadoop

Lecture 3: Spark

Lecture 4: Kafka

Chapter 9: Data Modeling

Lecture 1: Logical Physical Data Model

Lecture 2: Entity Relationship Diagrams

Lecture 3: Normalization

Lecture 4: Kimball and Inmon Data Warehousing

Chapter 10: Security and Privacy

Lecture 1: The Non-optionality of Security and Privacy

Lecture 2: PII

Lecture 3: Principle of Least Privilege

Instructors

365 Careers
Creating opportunities for Data Science and Finance students

365 Careers Team
Creating Opportunities for Data Science Students

Shashank Kalanithi
Senior Software Engineer – Data

Rating Distribution

1 stars: 5 votes

2 stars: 4 votes

3 stars: 20 votes

4 stars: 76 votes

5 stars: 101 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!