Analyzing Big Data with SQL from Coursera

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)

What's inside

Syllabus

Orientation to SQL on Big Data

SQL SELECT Essentials

Filtering Data

Traffic lights

Read about what's good

what should give you pause

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

Reviews summary

Analyzing big data with sql

According to learners, this course provides a solid introduction to using SQL for analyzing big data, specifically focusing on platforms like Hive and Impala. Many students praised the clear explanations provided throughout the lectures and found the hands-on labs to be particularly helpful for reinforcing concepts and gaining practical experience. However, a notable challenge reported by many was the requirement to install and configure a virtual machine for the labs; users cited difficulties with setup, performance issues, and significant resource requirements. Some reviewers also felt the course might move quickly for those with absolutely no prior SQL experience and primarily covers fundamental concepts rather than advanced big data SQL techniques.

Provides a solid foundation in Big Data SQL.

"This course is a great starting point for anyone new to SQL on big data platforms like Hive and Impala."

"I gained a solid foundational understanding of using SQL with Hive and Impala, which was exactly what I needed."

"Perfect if you want to get your feet wet with querying data in a big data environment using SQL commands."

"I felt this course gave me a good basis to start working with big data SQL."

Practical exercises reinforce learning effectively.

"The hands-on labs were essential for understanding the concepts and applying SQL in a practical big data environment."

"I enjoyed the practical exercises, they helped solidify what was taught in the lectures and build confidence."

"The guided labs provide valuable experience working with SQL in a big data context, which is very useful."

"Working through the exercises in the VM was a great way to practice the commands and see the concepts in action."

Concepts are taught clearly and logically.

"The instructor explains the concepts very clearly and provides good examples, making complex ideas understandable."

"The course content is well structured and the explanations are clear and concise, making it easy to follow."

"I found the lectures easy to follow and the topics were broken down well into manageable segments."

"I appreciated how the instructor broke down complex ideas into understandable parts, which really helped my learning."

Covers fundamentals, not advanced topics.

"It's a good overview and covers the basics well, but doesn't go into advanced techniques or performance tuning for big data SQL."

"I was hoping for a bit more depth on optimization or complex query patterns, but it's a solid intro for fundamentals."

"Good for beginners, but those with some existing experience might find the content too simple and lacking in advanced detail."

"I felt the course stuck primarily to the core SELECT statement and its basic clauses."

Benefits from prior basic SQL knowledge.

"While it says beginner-friendly, I feel a basic understanding of SQL before starting is highly recommended to keep pace."

"If you're completely new to SQL, this course might move a bit fast in the beginning sections."

"I already knew SQL basics, which made it significantly easier for me to follow the big data specifics presented."

"I would suggest taking a beginner SQL course first if you have absolutely no prior exposure."

Installation and performance can be difficult.

"The hardest part of the course is installing the virtual machine, it takes a lot of time and resources, and it can be very slow."

"I really struggled to get the VM environment to work properly on my machine initially. This was a significant hurdle."

"The practical exercises depend entirely on the VM provided, which was difficult to set up and sometimes unstable, leading to frustration."

"Setting up the required virtual machine proved to be a significant hurdle for me, impacting my ability to start the hands-on parts quickly."

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

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Create a personalized SQL cheat sheet and resource collection for quick reference, consolidating essential syntax, functions, and other helpful materials.

Browse courses on SQL

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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

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Build a solid understanding of fundamental database management concepts, including data modeling, database design, and query optimization.

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Read chapters 1-5
Complete the corresponding exercises and assignments
Summarize the key concepts covered in each chapter

Participate in SQL study groups

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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

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Find or create a study group with peers
Meet regularly to discuss course material, share resources
Work together on practice problems

Five other activities

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Practice SQL queries with W3Schools

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Develop proficiency in writing and executing SQL queries, starting with basic SELECT statements and gradually progressing to more complex queries.

Browse courses on SQL

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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

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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

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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

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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

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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

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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

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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

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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

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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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Business Intelligence Analyst

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.

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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.

See salaries and explore the career path for Software Engineer

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.

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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.

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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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Warehouse Manager

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.

See salaries and explore the career path for Database Developer

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.

See salaries and explore the career path for IT Manager

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Software Developer