Advanced SQL for Data Engineering from Udemy

Dive deep into the world of SQL with the Advanced SQL for Data Engineering course. This course is tailored for individuals aiming to sharpen their SQL skills and grasp advanced database design concepts, essential for numerous roles in today's data-driven industry.

The course is structured into eight comprehensive sections. It begins with setting up the environment and an overview of relational databases to establish the groundwork for more advanced SQL topics. You will be introduced to SQL syntax, as well as Data Definition Language (DDL), Data Manipulation Language (DML), Data Query Language (DQL), and Data Control Language (DCL).

The subsequent sections progress systematically through the manipulation of databases, managing and manipulating DateTime in SQL, handling complex data types, and exploring advanced query techniques. You will master essential SQL statements such as

Then you will dive into the subtleties of DateTime types, timezones, and intervals, and get hands-on experience with ENUMs. Ranges, and nested data. Each topic is designed to equip you with advanced techniques for managing, querying, and manipulating databases.

After that you will explore advanced query techniques with a focus on OVER, various types of These concepts will hone your skills in complex data querying, a pivotal aspect of data engineering.

The sixth section deals with optimizing data structures and introduces the concept of data normalization in SQL. You will learn the theory and practical application of data normalization, as well as the STAR schema and Snowflake model, both essential in designing efficient databases.

Section seven delves into performance and control, where you will master stored procedures, User-Defined Functions (UDFs), temporary tables, materialized views, and transactions. These concepts enhance your capabilities to manage and optimize databases for peak performance.

The final section allows you to put all the knowledge you've gained into practice with a series of challenging exercises. These practical tasks are designed to cement your understanding of the topics covered and prepare you for real-world scenarios.

By the end of the Advanced SQL for Data Engineering course, you will be proficient in SQL's advanced features and capable of designing, managing, and optimizing databases effectively.

Whether you're a budding data engineer or an experienced professional seeking to enhance your skills, this course has you covered.

What's inside

Learning objectives

Execute database manipulation
Manage datetime in sql
Handle complex data types

Master advanced query techniques
Optimize databases

Execute database manipulation
Manage datetime in sql
Handle complex data types
Master advanced query techniques
Optimize databases

Syllabus

Setting up the environment and overview of relational databases

Introduction to the course

Coure GitHub repository

Setting up the environment

An overview of relational databases

DDL, DML, DQL, DCL

SQL syntax

Manipulating databases: Mastering essential SQL statements

Intro SQL statements

CREATE

ALTER

INSERT

UPDATE

DELETE

MERGE

DROP

Timing is everything: managing and manipulating DateTime in SQL

DateTime intro

Different DateTime types

Timezones

Intervals

Complex data types: ENUMs, ARRAYs, Ranges, and Nested data in SQL

ENUM

ARRAYs

RANGE

Nested data

Advanced query techniques: exploring OVER, JOINS, CASE and more in SQL

OVER

CROSS JOIN

LATERAL JOIN

CROSS JOIN LATERAL

COALESCE

CASE

CONCAT

Recursive CTE

Recursive CTE - second part

Optimizing data structures: The art and science of data normalization in SQL

Data normatlization (1/3)

Data normatlization (2/3)

Data normatlization (3/3)

STAR schema Snowflake

Performance and control: Mastering stored procedures, temporary tables

Stored procedures and UDFs (1/3)

Stored procedures and UDFs (2/3)

Stored procedures and UDFs (3/3)

Temp table

Materialized view

Transactions

SQL structures

Practical tasks

Question 1

Question 2

Question 3

Question 4

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Covers manipulation of databases, such as creating, altering, and deleting records, making this course suitable for data analysts and database administrators

Offers a practical approach to advanced SQL techniques, making it helpful for data engineers seeking to enhance their skills

Requires students to come in with foundational knowledge of SQL, making it less suitable for beginners

Has a focus on data normalization, stored procedures, and materialized views, which may be less relevant for some data engineering roles

Does not explicitly target individuals with experience in data engineering, potentially limiting its relevance for some learners

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Advanced SQL for Data Engineering with these activities:

Compile a collection of SQL interview questions and practice solving them

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Prepare for SQL job interviews by gathering and practicing solving common interview questions.

Browse courses on SQL

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Research and gather SQL interview questions
Create a document or spreadsheet to organize the questions
Practice solving the questions

Reach out to experienced data engineers for mentorship

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Connect with industry professionals who can provide guidance, support, and insights into the field of data engineering.

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Identify potential mentors
Prepare a brief introduction and request for mentorship
Reach out to mentors via email or LinkedIn

Read 'SQL Performance Explained' by Markus Winand

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Gain practical insights and best practices for optimizing SQL queries and improving database performance from an industry expert.

View SQL Performance Explained Everything Developers... on Amazon

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Obtain a copy of the book
Read and understand the book

Eight other activities

Expand to see all activities and additional details

Show all 11 activities

Explore the PostgreSQL documentation on advanced SQL features

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Delve into the official PostgreSQL documentation to discover and understand advanced SQL features not covered in the course.

Browse courses on SQL

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Navigate to the PostgreSQL documentation website
Search for documentation on specific SQL features
Read and understand the documentation

Participate in a SQL study group

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Engage with peers to discuss SQL concepts, solve problems, and share knowledge.

Browse courses on SQL

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Join or create a SQL study group
Attend study group meetings
Participate in discussions and ask questions

Explore SQLZoo Tutorials

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Deepen your understanding of SQL concepts through interactive exercises and challenges.

Browse courses on SQL

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Visit the SQLZoo website
Select a tutorial category relevant to the course
Complete the interactive exercises and quizzes
Review the solutions and explanations provided

Practice SQL CRUD operations

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Reinforce your understanding of the fundamental SQL CRUD (Create, Read, Update, Delete) operations to manipulate data in databases.

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Set up a database environment
Execute SQL queries to create a table
Insert, update, and delete data using INSERT, UPDATE, and DELETE statements
Retrieve data using SELECT statements

SQL Exercise Challenges

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Strengthen your SQL skills with hands-on practice and problem-solving.

Browse courses on SQL

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Find SQL exercise websites or platforms
Select exercises that cover the topics from the course
Attempt to solve the exercises on your own
Check your solutions against provided answers or online forums

Design a data model for a specific business scenario

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Apply your knowledge of SQL and data normalization principles to create a logical and efficient data model for a real-world business scenario.

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Identify the business requirements and entities involved
Create an entity-relationship diagram (ERD)
Normalize the data model to eliminate redundancy and improve data integrity
Implement the data model using SQL

SQL Database Design Project

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Demonstrate your ability to apply SQL concepts to design and implement a comprehensive database.

Browse courses on Database Design

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Choose a real-world scenario or dataset
Define the requirements and scope of the database
Design the database schema using SQL
Implement the database using a SQL database management system
Test and refine the database for performance and accuracy

Attend a SQL optimization workshop

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Learn advanced techniques and best practices for optimizing SQL queries and improving database performance.

Browse courses on SQL Optimization

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Identify a SQL optimization workshop or conference
Register for the workshop
Attend the workshop

Career center

Learners who complete Advanced SQL for Data Engineering will develop knowledge and skills that may be useful to these careers:

Database Administrator

As a Database Administrator, you will be responsible for the installation, configuration, and maintenance of database systems. You will also be responsible for monitoring database performance, troubleshooting problems, and implementing security measures. The Advanced SQL for Data Engineering course will provide you with a deep understanding of SQL and the skills you need to be successful in this role.

See salaries and explore the career path for Database Administrator

SQL Developer

In your role as an SQL Developer, you will be responsible for the development and maintenance of SQL databases. You will use your knowledge of SQL to create and modify database schemas, write queries to retrieve data, and develop stored procedures and triggers. The Advanced SQL for Data Engineering course will help you build a strong foundation in SQL and provide you with the skills you need to be successful in this role.

See salaries and explore the career path for SQL Developer

Data Analyst

As a Data Analyst, you will be responsible for collecting, cleaning, and analyzing data to identify trends and patterns. You will use your analytical skills to develop insights and recommendations that can help businesses make better decisions. The Advanced SQL for Data Engineering course will provide you with the skills you need to extract, transform, and load data, and to write queries to analyze data.

See salaries and explore the career path for Data Analyst

Data Engineer

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines. You will use your knowledge of SQL and other data engineering tools to create data pipelines that can handle large volumes of data. The Advanced SQL for Data Engineering course will provide you with the skills you need to succeed in this role, including data modeling, data integration, and data warehousing.

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Business Intelligence Analyst

As a Business Intelligence Analyst, you will be responsible for using data to help businesses make better decisions. You will use your analytical skills to identify trends and patterns in data, and to develop insights and recommendations that can help businesses improve their performance. The Advanced SQL for Data Engineering course will provide you with the skills you need to extract, transform, and load data, and to write queries to analyze data.

See salaries and explore the career path for Business Intelligence Analyst

Project Manager

As a Project Manager, you will be responsible for planning, executing, and controlling projects. You will use your project management skills to ensure that projects are completed on time, within budget, and to the required quality standards. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

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Technical Writer

As a Technical Writer, you will be responsible for writing documentation for software and hardware products. You will use your writing skills to create documentation that is clear, concise, and easy to understand. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

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Market Researcher

As a Market Researcher, you will be responsible for conducting research to identify and understand the needs of customers. You will use your research skills to collect data, analyze data, and develop insights that can help businesses develop new products and services. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

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Sales Engineer

As a Sales Engineer, you will be responsible for selling software and hardware products to businesses. You will use your technical knowledge to help customers understand the benefits of your products and services. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

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Quality Assurance Analyst

As a Quality Assurance Analyst, you will be responsible for testing software applications to ensure that they meet the required quality standards. You will use your testing skills to identify defects and develop test cases. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

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Product Manager

As a Product Manager, you will be responsible for managing the development and launch of new products. You will use your knowledge of market research and product development to create products that meet the needs of users. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

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Data Scientist

As a Data Scientist, you will be responsible for using data to solve business problems. You will use your analytical skills to identify trends and patterns in data, and to develop models that can predict future outcomes. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

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Operations Research Analyst

As an Operations Research Analyst, you will be responsible for using mathematical models to solve business problems. You will use your analytical skills to develop models that can optimize business processes and improve efficiency. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

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Software Engineer

As a Software Engineer, you will be responsible for designing, developing, and maintaining software applications. You will use your knowledge of programming languages and software development tools to create applications that meet the needs of users. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

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Financial Analyst

As a Financial Analyst, you will be responsible for analyzing financial data and making recommendations to businesses. You will use your analytical skills to identify trends and patterns in financial data, and to develop models that can predict future financial performance. The Advanced SQL for Data Engineering course may be useful to you in this role, as it will provide you with a deep understanding of SQL and the skills you need to work with data.

See salaries and explore the career path for Financial Analyst