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Pinal Dave

This course will teach you how to use the Go language to access non-relational databases and perform various CRUD operations.

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This course will teach you how to use the Go language to access non-relational databases and perform various CRUD operations.

Databases are an integral component of the data-driven application. The Go language makes it easy to access any non-relational database with its drivers. In this course, Accessing Non-relational Databases in Go, you will learn to use the Go language to interact with non-relational databases. First, you will explore how to connect the Go language with a non-relational database via its driver. Next, you will explore the four most important database operations - Create, Retrieve, Update, and Delete (CRUD). When you are finished with this course, you will have the skills and knowledge needed of the Go language to access non-relational databases.

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What's inside

Syllabus

Course Overview
Getting Started with Go and Non-relational Databases
Implementing CRUD Operations

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides practical knowledge and skills for accessing and manipulating non-relational databases using the Go language, fostering proficiency in data management and retrieval
Offers hands-on experience with CRUD operations in Go, equipping learners with essential database management skills
Concise and focused, providing a structured learning path for beginners seeking to build a foundation in Go for non-relational database interactions
Led by Pinal Dave, an experienced instructor, ensuring quality content and industry insights

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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 Accessing Non-relational Databases in Go with these activities:
Review: Building Data-Intensive Applications with Go
Expand your knowledge on Go's capabilities for working with non-relational databases by reviewing this book.
Show steps
  • Read the book's chapters relevant to non-relational databases in Go.
  • Take notes and highlight important concepts.
Show all one activities

Career center

Learners who complete Accessing Non-relational Databases in Go will develop knowledge and skills that may be useful to these careers:
Data Engineer
A Data Engineer collects, processes, and organizes data for analysis. The course Accessing Non-relational Databases in Go is perfect for Data Engineers, as it will teach you how to perform CRUD operations and faster analytics on non-relational databases. The course will help build a foundation for using Go, and help you stand out from other candidates.
Database Administrator
A Database Administrator must ensure that databases are working as desired. This course will help you do exactly that, as it will teach you how to connect to and perform CRUD operations on non-relational databases. This course will help you gain a better understanding of non-relational databases, which will help you stand out from your competition.
Data Analyst
Data Analysts clean, analyze, and transform raw data to present meaningful insights. This course, Accessing Non-relational Databases in Go, will help build a foundation in connecting to and performing operations on non-relational databases. The course will teach you about CRUD operations and Go, which will make you a more competitive candidate.
Software Engineer
Software Engineers work with both hardware and software to build and maintain software systems. This course, Accessing Non-relational Databases in Go, will help build a foundation in working with databases. The course will teach you about CRUD operations and Go, which will help make you a more competitive candidate.
Data Scientist
Data Scientists analyze and interpret data to uncover actionable insights. This course, Accessing Non-relational Databases in Go, may be useful for Data Scientists, as it will teach you how to perform CRUD operations on non-relational databases. The course will help broaden your range of skills and teach you a way to expand your repertoire.
Cloud Engineer
A Cloud Engineer designs, builds, and maintains cloud computing systems. This course, Accessing Non-relational Databases in Go, may be useful for Cloud Engineers, as it will teach you how to connect to and perform CRUD operations on non-relational databases. The course will teach you about Go, which will make you a more competitive candidate.
Data Architect
A Data Architect designs and implements data management solutions. This course, Accessing Non-relational Databases in Go, may be useful for Data Architects, as it will teach you how to connect to and perform CRUD operations on non-relational databases. The course will teach you about Go, which will make you a more competitive candidate.
Full Stack Engineer
A Full-Stack Engineer works on both the front-end and back-end of software systems. This course, Accessing Non-relational Databases in Go, may be useful for Full-Stack Engineers, as it will teach you how to connect to and perform CRUD operations on non-relational databases. The course will teach you about Go, which will make you a more competitive candidate.
Back End Engineer
A Back-End Engineer works on the back-end of software systems. This course, Accessing Non-relational Databases in Go, may be useful for Back-End Engineers, as it will teach you how to connect to and perform CRUD operations on non-relational databases. The course will teach you about Go, which will make you a more competitive candidate.
Front-End Engineer
A Front-End Engineer works on the front-end of software systems. This course, Accessing Non-relational Databases in Go, may be useful for Front-End Engineers, as it will teach you about CRUD operations and Go. The course may help you stand out among other candidates for roles you apply to.
Database Architect
Database Architects create and manage the design and implementation of database systems. This course will teach you how to work with non-relational databases. This course is a great foundation for working with non-relational databases, from initial setup all the way through to how to perform CRUD operations.
Information Security Analyst
An Information Security Analyst safeguards computer networks and systems. While this course, Accessing Non-relational Databases in Go, will not teach you how to find or exploit vulnerabilities in non-relational databases, it may help broaden your skill portfolio. Especially if you are interested in migrating from a related career, like Database Administrator, into Information Security Analysis.
Systems Engineer
A Systems Engineer designs, deploys, and maintains computer systems and networks. This course, Accessing Non-relational Databases in Go, may be useful if you have an interest in working with databases. While the course will not teach you how to design or deploy computer systems, it will teach about Go and how to connect to non-relational databases.
Web Developer
A Web Developer designs and develops websites and web applications. While this course, Accessing Non-relational Databases in Go, will not teach you how to design or develop websites, it will teach about Go and how to connect to non-relational databases.
Network Engineer
A Network Engineer designs, deploys, and maintains computer networks. While this course, Accessing Non-relational Databases in Go, will not teach you how to design or deploy computer networks, it will teach about Go and how to connect to non-relational databases.

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 Accessing Non-relational Databases in Go.
Provides a comprehensive introduction to the Go programming language, covering both the basics and advanced concepts. It valuable reference for anyone who wants to learn more about Go or improve their programming skills.
Provides a comprehensive overview of MongoDB, a popular NoSQL database. It covers everything from basic concepts to advanced features, making it a valuable resource for anyone who wants to use MongoDB in their projects.
Provides a comprehensive overview of Elasticsearch, a popular distributed search and analytics engine. It covers everything from basic concepts to advanced features, making it a valuable resource for anyone who wants to use Elasticsearch in their projects.
Provides a comprehensive overview of data modeling for MongoDB. It covers everything from basic concepts to advanced techniques, making it a valuable resource for anyone who wants to design and implement MongoDB databases.
Provides a comprehensive overview of performance tuning for MongoDB. It covers everything from basic concepts to advanced techniques, making it a valuable resource for anyone who wants to improve the performance of their MongoDB databases.
Provides a comprehensive overview of the internals of distributed data systems. It covers everything from basic concepts to advanced topics, making it a valuable resource for anyone who wants to learn more about how these systems work.
Provides a brief overview of NoSQL databases. It covers everything from basic concepts to advanced topics, making it a valuable resource for anyone who wants to learn more about NoSQL databases.
Provides a brief overview of seven different database technologies. It covers everything from basic concepts to advanced topics, making it a valuable resource for anyone who wants to learn more about different database technologies.

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