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Ian Cook

In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.

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In this course, you'll get an in-depth look at the SQL SELECT statement and its main clauses. The course focuses on big data SQL engines Apache Hive and Apache Impala, but most of the information is applicable to SQL with traditional RDBMs as well; the instructor explicitly addresses differences for MySQL and PostgreSQL.

By the end of the course, you will be able to

• explore and navigate databases and tables using different tools;

• understand the basics of SELECT statements;

• understand how and why to filter results;

• explore grouping and aggregation to answer analytic questions;

• work with sorting and limiting results; and

• combine multiple tables in different ways.

To use the hands-on environment for this course, you need to download and install a virtual machine and the software on which to run it. Before continuing, be sure that you have access to a computer that meets the following hardware and software requirements:

• Windows, macOS, or Linux operating system (iPads and Android tablets will not work)

• 64-bit operating system (32-bit operating systems will not work)

• 8 GB RAM or more

• 25GB free disk space or more

• Intel VT-x or AMD-V virtualization support enabled (on Mac computers with Intel processors, this is always enabled;

on Windows and Linux computers, you might need to enable it in the BIOS)

• For Windows XP computers only: You must have an unzip utility such as 7-Zip or WinZip installed (Windows XP’s built-in unzip utility will not work)

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What's inside

Syllabus

Orientation to SQL on Big Data
SQL SELECT Essentials
Filtering Data
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Grouping and Aggregating Data
Sorting and Limiting Data
Combining Data

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Builds foundational understanding of SQL SELECT statements and their clauses for big data, a valuable skill in various data-driven fields
Focuses on Apache Hive and Apache Impala, widely used big data SQL engines, providing practical experience for data engineers and analysts
Covers core SQL concepts like filtering, grouping, sorting, and combining data, adaptable to various RDBMS platforms
Emphasizes hands-on practice through a virtual machine setup, enabling learners to apply concepts directly to real-world scenarios
Taught by Ian Cook, an experienced instructor with a proven track record in big data analysis

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Reviews summary

Sql for big data

Learners say that this course is largely positive, with 96% expressing positive sentiment based on the provided reviews. This course takes a structured approach to teaching SQL for big data, covering key concepts such as SELECT, JOIN, and aggregation functions. Learners appreciate the clear and concise explanations, as well as the hands-on exercises that reinforce learning. Additionally, the course prepares learners for real-world data analysis tasks.
Assignments require critical thinking and problem-solving skills.
"Brilliant course. I was tested at certain places which made me think about how to answer something for a day or two."
"The middle section is tedious and you have to pay attention."
"Good course but you have to be committed as a learner to receive the benefits."
Course prepares learners for practical data analysis tasks.
"This course, together with the first in this series is arguably the best courses to start with big data and SQL."
"Excellent course even if you have an sql knowledge with a bachelor."
"The course is really informative and laconic. It covers everything you need to analyze data using SQL."
Instructor Ian Cook presents the material in a clear and engaging manner.
"Amazing instructor - the knowledge is given in a systematic and logical way."
"Excellent ! Little bit exhaustive but worth it !"
"All learning materials were presented explicitly and 100% clear."
Course is well-organized with a logical progression of topics.
"Course contents are well laid out and well taught."
"Covers many SELECT statements and clauses. Probably the most important course in the three-course series in terms of querying data."
"Comprehensive, rigorous, and well-paced in learning the fundamentals of querying and analyzing big data with SQL."
Engaging assignments utilize a virtual machine environment.
"Had really fun time getting hands on experience on SQL. Highly recommend it to anyone who wants to learn how to run SQL programming. "
"g​reat course even if you know SQL it's quite a fresh reminder and writing the Query on the VMs makes you gain much deaper understanding of the data"
"Structured very well and excellent hands on learning with the VM and Hue. "

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 Analyzing Big Data with SQL with these activities:
Compile a SQL cheat sheet and resources
Create a personalized SQL cheat sheet and resource collection for quick reference, consolidating essential syntax, functions, and other helpful materials.
Browse courses on SQL
Show steps
  • Gather information from course materials, tutorials, and other sources
  • Organize and format the information into a cheat sheet
  • Compile a list of useful online resources and tools
Read Database Management Systems
Build a solid understanding of fundamental database management concepts, including data modeling, database design, and query optimization.
Show steps
  • Read chapters 1-5
  • Complete the corresponding exercises and assignments
  • Summarize the key concepts covered in each chapter
Participate in SQL study groups
Connect with fellow learners, share knowledge, and collaboratively work through SQL concepts and challenges, fostering a deeper understanding of the subject matter.
Browse courses on SQL
Show steps
  • Find or create a study group with peers
  • Meet regularly to discuss course material, share resources
  • Work together on practice problems
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice SQL queries with W3Schools
Develop proficiency in writing and executing SQL queries, starting with basic SELECT statements and gradually progressing to more complex queries.
Browse courses on SQL
Show steps
  • Go through the W3Schools SQL tutorial
  • Complete the interactive exercises provided in the tutorial
  • Experiment with different types of queries and data
Solve SQL coding challenges on LeetCode
Strengthen problem-solving and coding skills by working through various SQL coding challenges, covering topics such as data retrieval, aggregation, and manipulation.
Browse courses on SQL
Show steps
  • Create a LeetCode account
  • Start solving easy SQL problems
  • Gradually progress to more difficult problems
  • Review your solutions and learn from mistakes
Attend a SQL workshop or conference
Gain valuable insights and practical knowledge by attending industry-led workshops or conferences focused on SQL, expanding your skillset and staying up-to-date with the latest trends.
Browse courses on SQL
Show steps
  • Research and identify relevant workshops or conferences
  • Register and attend the event
  • Actively participate in sessions and discussions
  • Network with industry professionals and fellow attendees
Build a data dashboard using Tableau
Enhance data analysis and visualization skills by creating an interactive data dashboard using Tableau, showcasing insights derived from SQL queries.
Browse courses on Data Visualization
Show steps
  • Download and install Tableau Desktop
  • Connect Tableau to a data source
  • Create charts, graphs, and other visualizations
  • Publish the dashboard and share it with others
Contribute to an open-source SQL project
Apply SQL skills in a real-world setting by contributing to open-source projects, gaining hands-on experience and contributing to the community.
Browse courses on SQL
Show steps
  • Identify open-source SQL projects that align with your interests
  • Review the project documentation and codebase
  • Propose and implement a feature or bug fix
  • Collaborate with other contributors and maintainers

Career center

Learners who complete Analyzing Big Data with SQL will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts gather, clean, and interpret large amounts of data to identify trends and patterns, making them crucial for businesses leveraging big data. This course teaches SQL, enabling you to analyze big data efficiently and extract valuable insights, a key skill for Data Analysts.
Data Scientist
Data Scientists use statistical and analytical methods to extract meaningful insights from big data, driving data-driven decision-making. This course provides a solid foundation in SQL, empowering you to analyze and interpret big data effectively, a key aspect of Data Science.
Database Administrator
Database Administrators design, implement, and maintain databases, ensuring their efficient and secure operation. This course offers a comprehensive overview of SQL, enabling you to manage and optimize big data databases effectively, a critical skill for Database Administrators.
Business Intelligence Analyst
Business Intelligence Analysts use data analysis to provide insights for business decision-making. This course teaches advanced SQL techniques for big data analysis, enabling you to uncover valuable insights and drive informed decision-making, a core responsibility of Business Intelligence Analysts.
Data Engineer
Data Engineers design and build data pipelines and systems to manage and process big data. This course provides a solid foundation in SQL, enabling you to effectively work with big data, a crucial skill for Data Engineers.
Software Engineer
Software Engineers design, develop, and maintain software systems, often involving big data processing. This course offers a comprehensive overview of SQL, enabling you to effectively analyze and utilize big data in software development.
Data Architect
Data Architects design and manage data systems and databases, ensuring data integrity and accessibility. This course teaches advanced SQL techniques for big data management, providing you with the skills to effectively architect and manage data systems.
Statistician
Statisticians use statistical methods to analyze and interpret data, often involving big data. This course provides a solid foundation in SQL, enabling you to effectively work with and analyze big data, a valuable skill for Statisticians.
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models, often utilizing big data. This course offers an overview of SQL, enabling you to effectively work with and analyze big data, a key aspect of Machine Learning Engineering.
Data Warehouse Manager
Data Warehouse Managers oversee the management and maintenance of data warehouses, often involving big data. This course teaches advanced SQL techniques for big data management, providing you with the skills to effectively manage and maintain data warehouses.
Database Developer
Database Developers design and develop databases, often involving big data. This course offers a comprehensive overview of SQL, enabling you to effectively work with and manage big data, a key aspect of Database Development.
IT Manager
IT Managers oversee the planning, implementation, and maintenance of IT systems, which may involve big data. This course provides an overview of SQL, enabling you to effectively understand and manage big data-related IT systems.
Project Manager
Project Managers lead and manage projects, which may involve big data. This course offers an overview of SQL, enabling you to effectively understand and manage big data-related projects.
Business Analyst
Business Analysts analyze business processes and systems to identify areas for improvement, which may involve big data. This course provides an overview of SQL, enabling you to effectively understand and analyze big data, a valuable skill for Business Analysts.
Software Developer
Software Developers design, develop, and maintain software systems, which may involve big data. This course offers an overview of SQL, enabling you to effectively work with and analyze big data, a valuable skill for Software Developers.

Reading list

We've selected eight books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Analyzing Big Data with SQL.
Provides a comprehensive guide to Python for data analysis. It good choice for students and professionals who want to learn how to use Python for data analysis.
Provides a comprehensive guide to Apache Spark. It good choice for students and professionals who want to learn how to use Apache Spark for big data processing.
Provides a comprehensive guide to data science from scratch. It good choice for students and professionals who want to learn the basics of data science.
Provides an introduction to data analysis using SQL and R. It good choice for students and professionals who want to learn how to use SQL and R for data analysis.
Provides a detailed explanation of SQL performance. It good choice for experienced SQL users who want to learn how to optimize their queries.
Provides a comprehensive guide to Oracle SQL. It good choice for experienced SQL users who want to learn more about Oracle-specific features.

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