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:
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Be able to determine if data engineering is a career path that interests you
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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)
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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:
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Gain a big picture understanding of the data engineering field and its requirements
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Benefit from Shashank’s years of experience and gain valuable insights to excel in your job
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Understand the different paths you can take in your career progression
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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
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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!
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