SQL NoSQL Big Data and Hadoop
Course
Online
Description
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Type
Course
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Level
Intermediate
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Methodology
Online
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Class hours
23h
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Duration
1 Year
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Online campus
Yes
The SQL NoSQL Big Data and Hadoop course provides a comprehensive introduction to modern database technologies and large-scale data processing. Learners will gain a strong foundation in SQL for relational databases, explore NoSQL alternatives for flexible, schema-less data storage, and understand how Big Data frameworks, including Hadoop, manage massive datasets efficiently.
This course is designed for professionals and enthusiasts who want to enhance their data management skills and leverage data-driven insights. You will learn how to design, query, and maintain databases, understand distributed computing principles, and analyse large datasets using cutting-edge technologies. By the end of this course, you will be equipped to handle both structured and unstructured data, optimise database performance, and prepare for roles in data analysis, business intelligence, and data engineering.
Whether you are a beginner or seeking to expand your technical skillset, this course combines essential theoretical knowledge with practical applications in SQL, NoSQL, and Big Data ecosystems, offering a solid pathway for career development in the rapidly growing data sector.
Important information
Price for Emagister users:
About this course
Understand relational and non-relational database concepts
Write and optimise SQL queries for structured data
Explore NoSQL databases for unstructured and semi-structured data
Gain foundational knowledge of Big Data principles and Hadoop
Analyse and process large datasets effectively
Develop data management skills applicable to real-world projects
Enhance employability in data-driven roles
This course is ideal for aspiring data analysts, IT professionals, software developers, and business intelligence enthusiasts who want to strengthen their knowledge of databases and Big Data technologies. It is suitable for beginners seeking a structured introduction as well as professionals looking to expand their technical expertise.
Learners interested in careers in data analysis, data engineering, database administration, and business intelligence will find this course particularly relevant. It is also well-suited to those working in roles that require data-driven decision-making or managing large datasets. The course is inclusive, flexible, and designed to accommodate learners with varying levels of prior technical experience, ensuring that anyone motivated to develop practical, in-demand data skills can benefit.
No formal entry requirements are needed to enrol in this course. It is suitable for learners aged 16 and above. To make the most of the content, a basic understanding of English, numeracy, and IT skills is recommended. Learners should be comfortable navigating computers and using software applications to effectively follow the course materials.
Upon successful completion of the SQL NoSQL Big Data and Hadoop course, you will qualify for a UK and internationally recognised professional certification. You may also choose to formalise your achievement by obtaining your PDF Certificate for £9 or a Hardcopy Certificate for £15.
This course offers unmatched flexibility, allowing learners to progress at their own pace while exploring expertly designed modules. Each section has been crafted to provide clear, practical knowledge that can be applied in real-world data environments.
With a strong focus on career-oriented outcomes, this course equips learners with valuable skills in SQL, NoSQL, Big Data, and Hadoop, helping enhance CVs and professional profiles. The self-paced learning format ensures that learners can study around work, personal commitments, or other educational pursuits, making it a practical choice for modern professionals seeking continuous professional development.
Yes, the course is designed to be accessible for learners with little or no prior experience in databases or Big Data. Concepts are introduced progressively, starting with foundational SQL principles, moving to NoSQL databases, and then Big Data frameworks like Hadoop. The structured modules ensure learners can build confidence and technical skills step by step.
Completing this course demonstrates expertise in both traditional and modern data management systems, including SQL, NoSQL, and Big Data technologies. These skills are highly sought after in roles such as data analyst, data engineer, and business intelligence specialist. By mastering these tools, learners can enhance employability and strengthen their CVs in the competitive data sector.
The course is delivered entirely online and is self-paced, allowing learners to study whenever and wherever suits them. Each module combines clear explanations, examples, and practical exercises to reinforce learning. Learners can revisit sections as needed, ensuring they fully grasp each topic before progressing to the next.
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The average rating is higher than 3.7
More than 50 reviews in the last 12 months
This centre has featured on Emagister for 7 years
Subjects
- Database
- SQL
- Database training
- SQL Database
- Big
Teachers and trainers (1)
One Education
Course Provider
Course programme
SQL, NoSQL, Big Data, and Hadoop is a comprehensive course that introduces students to modern data storage and processing technologies. It covers relational databases (SQL), non-relational databases (NoSQL), principles of big data, and distributed processing using Hadoop. Students learn how to store, manage, and analyze large-scale datasets efficiently, gaining practical skills for data-driven applications and analytics in real-world business and technology environments.
Course Curriculum
- Section 01: Introduction
- Section 02: Relational Database Systems
- Section 03: Database Classification
- Section 04: Key-Value Store
- Section 05: Document-Oriented Databases
- Section 06: Search Engines
- Section 07: Wide Column Store
- Section 08: Time Series Databases
- Section 09: Graph Databases
- Section 10: Hadoop Platform
- Section 11: Big Data SQL Engines
- Section 12: Distributed Commit Log
- Section 13: Summary
SQL NoSQL Big Data and Hadoop
