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Dr. Michael Brown and Dr. Augusto Casas

This NoSQL database course provides you with an introduction, overview, and history of NoSQL databases (non-relational databases). In this course you will explore in detail the four types of NoSQL databases (e.g., Document-oriented, Key-Value Pair, Column-oriented, and Graph).

Upon completion of this course, you will begin to build an array of applied non-relational database skills including:

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This NoSQL database course provides you with an introduction, overview, and history of NoSQL databases (non-relational databases). In this course you will explore in detail the four types of NoSQL databases (e.g., Document-oriented, Key-Value Pair, Column-oriented, and Graph).

Upon completion of this course, you will begin to build an array of applied non-relational database skills including:

  • Define, compare, and use the four types of NoSQL Databases
  • Demonstrate an understanding of the detailed architecture of NoSQL databases.
  • Evaluate NoSQL database development tools and programming languages.
  • Perform hands-on NoSQL database lab assignments.
  • Store and manage BSON and JSON files in a NoSQL database.
  • Perform CRUD (Create Read Update Delete) operations.
  • Organize documents in a NoSQL database.

What's inside

Learning objectives

  • Understand the important difference between relational databases and nosql databases
  • Create nosql databases using a popular nosql management system
  • Interact with data within the database

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Builds a strong foundation for beginners seeking an introduction to NoSQL databases
Develops core skills of database management in the context of NoSQL methodologies
Introduces key concepts and applications of NoSQL databases in modern data management
Taught by experienced instructors with expertise in NoSQL databases and data management
Leverages interactive materials and hands-on assignments for practical skill development

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Reviews summary

Practical introduction to nosql databases

According to learners, this course offers a largely positive and practical introduction to NoSQL databases. Students particularly praise the clear explanations from the instructor, who simplifies complex topics effectively. The hands-on labs, especially with MongoDB and Neo4j, are frequently highlighted as a major strength, providing invaluable experience with CRUD operations and cementing conceptual understanding. While it excels at providing a solid foundation for beginners and those transitioning from SQL, some experienced professionals found the content too basic and desired more advanced topics or challenging projects.
Excellent starting point for new NoSQL learners.
"This course bridged the gap perfectly as someone with a strong SQL background but new to NoSQL."
"Good course for beginners looking for a general understanding of NoSQL."
"Excellent course for getting started with NoSQL. It truly provided me with the foundation I needed."
Provides valuable practical experience and application.
"The hands-on labs using MongoDB and Neo4j were incredibly valuable and helped solidify my understanding."
"The hands-on components were well-integrated and allowed for immediate application of learned concepts."
"I gained a practical understanding of how to perform CRUD operations."
Simplifies complex NoSQL concepts effectively.
"The instructor explained complex concepts like data modeling in document and graph databases very clearly."
"The instructor is an expert and simplifies complex topics. I now understand the difference between relational and non-relational databases clearly."
"I enjoyed the practical labs that covered creating databases and interacting with data. This course truly provided me with the foundation I needed."
Occasional issues with lab setup or instructions.
"My main critique is that some of the lab environments felt a little buggy or outdated, requiring some troubleshooting on my end."
"I struggled with some of the BSON/JSON exercises and felt lost without more detailed guidance."
Too basic for experienced professionals seeking advanced topics.
"The course provides a decent overview but doesn't go deep enough into any specific NoSQL database. It felt more like a survey than a practical skill-building course."
"As an experienced database professional, I found this course to be too basic. I was hoping for more advanced topics or large-scale data management strategies."
"It’s good for conceptual understanding, but I need to do more hands-on work elsewhere to really apply these skills."

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 NoSQL Databases with these activities:
Compile and Review Course Materials
Refresh your memory and ensure a comprehensive understanding of course materials.
Show steps
  • Gather all lecture notes, slides, assignments, and other course materials.
  • Organize and review the materials regularly to reinforce your learning.
  • Create summaries or mind maps to facilitate understanding and recall.
Practice SQL Queries
Refresh your SQL skills to better understand the differences between relational and NoSQL databases.
Browse courses on SQL
Show steps
  • Access an online SQL editor or practice platform.
  • Create practice tables and insert sample data.
  • Complete SQL exercises or challenges to reinforce your understanding of queries.
Review Relational Database Management Systems
Review the fundamentals of relational database management systems to ensure a strong foundation for understanding NoSQL databases.
Show steps
  • Read chapters 1-3 of the textbook to gain an overview of relational database concepts.
  • Complete the practice exercises at the end of each chapter to test your understanding.
  • Create a simple relational database using SQL to practice your skills.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create NoSQL Databases
Gain hands-on experience with creating and managing different types of NoSQL databases.
Browse courses on NOSQL Databases
Show steps
  • Sign up for a free account on a popular NoSQL database provider such as MongoDB, Cassandra, or Redis.
  • Create a new database and collection using the appropriate NoSQL data model.
  • Insert, update, and delete documents or records in your database.
  • Query your database using the appropriate query language.
  • Experiment with different data models and query techniques to explore the capabilities of the NoSQL database.
Develop a NoSQL Database Design Proposal
Apply your understanding of NoSQL database concepts to design a database for a specific use case.
Browse courses on Data Modeling
Show steps
  • Identify the requirements and use case for your NoSQL database.
  • Choose the appropriate NoSQL data model based on the requirements.
  • Design the schema for your database, including tables, columns, and data types.
  • Create a detailed proposal document that outlines your design decisions and rationale.
  • Present your proposal to a technical audience for feedback and critique.
Help Other Students with NoSQL Projects
Strengthen your understanding of NoSQL concepts by helping others.
Show steps
  • Offer to help students who are struggling with NoSQL concepts or projects.
  • Provide guidance and support to help them understand the material and complete their assignments.
  • Create study groups or online forums to facilitate peer-to-peer learning.

Career center

Learners who complete NoSQL Databases will develop knowledge and skills that may be useful to these careers:
Data Architect
The NoSQL Databases course will provide you with an introduction and overview of NoSQL databases (non-relational databases). This course will provide the foundation necessary to work with Data Architects who are responsible for designing, building, and maintaining data architectures.
Database Administrator
The NoSQL Databases course will introduce you to the four types of NoSQL databases, including Document-oriented, Key-Value Pair, Column-oriented, and Graph. It will also provide you with the skills needed to store and manage BSON and JSON files in a NoSQL database.
Data Analyst
As a Data Analyst, you must be able to organize documents in a NoSQL database. The NoSQL Databases course will provide you with an introduction and overview of NoSQL databases (non-relational databases), along with the skills needed to organize documents and interact with data within the database.
Software Developer
The NoSQL Databases course will provide you with an understanding of the detailed architecture of NoSQL databases and the skills needed to demonstrate an understanding of NoSQL database development tools and programming languages.
Web Developer
The NoSQL Databases course will help build a foundation for Web Developers who are responsible for managing data. This course will provide you with an introduction and overview of NoSQL databases (non-relational databases) and demonstrate an understanding of NoSQL database development tools and programming languages.
Cloud Engineer
The NoSQL Databases course will provide you with an introduction, overview, and history of NoSQL databases (non-relational databases). This course will also help build a foundation for Cloud Engineers in areas like data storage and management.
Data Scientist
The NoSQL Databases course can be useful to Data Scientists who often need to store and manage large amounts of data. This course will provide you with an introduction and overview of NoSQL databases (non-relational databases) and provide the skills to interact with data within the database.
Information Architect
The NoSQL Databases course will provide you with an introduction and overview of NoSQL databases (non-relational databases). This course may be useful for Information Architects working in the tech industry who need insight into data storage.
Computer Programmer
The NoSQL Databases course provides an introduction to database systems and the four types of NoSQL databases (e.g., Document-oriented, Key-Value Pair, Column-oriented, and Graph). This course may be helpful for Computer Programmers working with these types of databases.
Business Analyst
The NoSQL Databases course will provide you with an introduction and overview of NoSQL databases (non-relational databases). This course may be helpful for Business Analysts.
Product Manager
The NoSQL Databases course may be useful for Product Managers working in tech who make decisions about data and data management.
Market Researcher
The NoSQL Databases course will provide you with an introduction and overview of NoSQL databases (non-relational databases). This course may be useful for Market Researchers needing to understand data storage.
Statistician
The NoSQL Databases course provides an introduction, overview, and history of NoSQL databases (non-relational databases). This course may be useful for Statisticians.
Financial Analyst
The NoSQL Databases course will provide you with an introduction and overview of NoSQL databases (non-relational databases). This course may be helpful for Financial Analysts, who may encounter NoSQL databases in their work.
Sales Representative
The NoSQL Databases course may be useful for Sales Representatives working in the tech industry.

Reading list

We've selected 11 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 NoSQL Databases.
This classic textbook provides a comprehensive overview of database systems, including both relational and NoSQL databases. It covers the fundamental concepts of database design, implementation, and management.
Serves as a comprehensive reference guide for MongoDB, a popular document-oriented NoSQL database. It covers the fundamentals of MongoDB, including data modeling, querying, and indexing. This book is particularly valuable for those interested in implementing and managing MongoDB databases.
Provides a comprehensive introduction to reinforcement learning. It covers the different reinforcement learning algorithms, and how to use these algorithms to solve real-world problems.
Offers a comprehensive overview of data science and big data analytics. It covers the fundamentals of data management, data analysis, and machine learning. While not specifically focused on NoSQL databases, it provides valuable insights into the challenges and best practices of handling large and complex data sets.
Provides a comprehensive introduction to speech and language processing. It covers the different speech and language processing algorithms, and how to use these algorithms to solve real-world problems.
Offers a comprehensive guide to designing and building scalable and reliable data-intensive applications. It covers various aspects of data management, including data modeling, storage systems, and distributed architectures. While not specifically focused on NoSQL databases, it provides valuable insights into the challenges and best practices of data management in general.
Provides a comprehensive introduction to machine learning for data science. It covers the different machine learning algorithms, and how to use these algorithms to solve real-world problems.
Provides a comprehensive introduction to deep learning for natural language processing. It covers the different deep learning algorithms, and how to use these algorithms to solve real-world problems.
Provides a comprehensive introduction to computer vision. It covers the different computer vision algorithms, and how to use these algorithms to solve real-world problems.
Covers the concepts and techniques for building reactive microservices using Java. While not specifically focused on NoSQL databases, it provides valuable insights into the challenges and best practices of designing and implementing microservices.
Provides a non-technical overview of NoSQL databases. It covers the different types of NoSQL databases, their benefits, and how they can be used to solve real-world problems.

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