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SQL NoSQL Big Data and Hadoop - Level 7 (QLS Endorsed)

QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support


Kingston Open College

Summary

Price
£15 inc VAT
Study method
Online
Duration
576 hours · Self-paced
Access to content
12 months
Qualification
No formal qualification
CPD
180 CPD hours / points
Achievement
Certificates
  • Advanced Diploma in SQL NoSQL Big Data and Hadoop at QLS Level 7 - £75
Additional info
  • Exam(s) / assessment(s) not included in price, and must be purchased separately
  • Tutor is available to students
  • TOTUM card available but not included in price What's this?

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Overview

If you want to improve your knowledge of Big Data, data processing, and database administration, this QLS course is your key to a complete and practical understanding of these topics. Learning SQL, NoSQL, Big Data, and Hadoop can help you stand out in today’s competitive, data-driven employment market and enhance your technical skills. The course “SQL NoSQL Big Data and Hadoop” thoroughly examines the essential ideas and innovations influencing the state of data today. Proficiency in SQL, NoSQL, Big Data, and Hadoop is vital for individuals who aim to advance in their careers since data management is crucial in today’s IT-driven market. With the help of this course, students will gain a comprehensive grasp of these technologies and their real-world applications, giving them the tools they need to successfully traverse and leverage the potential of varied data ecosystems.

The introduction of the course establishes the foundation for understanding the subtleties of database management. Subsequently, the next lesson delves into relational database systems to examine the principles of structured data storage. Students are guided through the vast array of database classifications in the following sections: key-value stores, document-oriented databases, search engines, vast column stores, time series databases, and graph databases. The discussions on big data technologies, distributed commit logs, Hadoop systems, and SQL engines go into more detail. The final lesson provides a thorough summary to reinforce the most significant takeaways from the course.

Sign up now to change your career by gaining the skills and knowledge the rapidly evolving IT industry demands.

Learning Outcome of the “SQL NoSQL Big Data and Hadoop” Course:

  • Recognize database classifications to ensure efficient data administration
  • Become an expert in relational database systems by showcasing the ability to organize and query relational databases
  • Examine and implement key-value, document-oriented, and graph databases for various needs by investigating NoSQL paradigms
  • Develop Hadoop, SQL, and distributed commit log skills by navigating the extensive data landscape
  • Become knowledgeable in managing large column stores and time series databases about cleaning tools essential for maintaining dog cleanliness
  • Condense learned lessons to enable well-informed choices in intricate data situations

Why learn “SQL NoSQL Big Data and Hadoop” with us?

As one of the leading eLearning service providers globally, we strive to provide all our learners with the best eLearning experience possible that can make a real difference in their career progression.

Our Service for the “SQL NoSQL Big Data and Hadoop” course:

  • Intensive Study Notes
  • Tutor Support
  • Customer Support
  • Teaching Assistant Assignment Help
  • QLS Endorsed Teaching Assistant Certificate
  • 24/7 Learning Portal Access
  • Widely Compatible Teaching Assistant Study Materials

Achievement

CPD

180 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

Course Curriculum of the “SQL NoSQL Big Data and Hadoop” course:

  • 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

Assessment & Certification

Students must finish and turn in a thorough assignment covering all topics in our curriculum. Our expert tutor will review the assignment to ensure it meets Quality Learning Systems (QLS) standards. Once the assessment is successful and passes a quality check, students will be awarded a certificate for completing the SQL NoSQL Big Data and Hadoop Course.

Endorsed Certificate of Achievement from the Quality Licence Scheme.

After the course, participants will receive an endorsed certificate as proof of successful completion. The learner may request a certificate if they complete all course assessments.

Endorsement:

After the course, participants will receive an endorsed certificate as proof of successful completion. The learner may request a certificate if they complete all course assessments.

Who is this course for?

The following learners find this “SQL NoSQL Big Data and Hadoop” course most relevant to their jobs and studies:

  • Database Administrators: Enhance skills for managing relational and non-relational databases efficiently
  • Data Analysts: Learn to navigate diverse data ecosystems and leverage Big Data technologies
  • Software Developers: Expand expertise in database systems and Big Data for robust application development
  • IT Professionals: Stay current with evolving technologies crucial for effective information management
  • Business Intelligence Specialists: Acquire tools to analyse and extract insights from complex datasets
  • Data Scientists: Strengthen foundation in handling diverse data structures for advanced analytics
  • System Architects: Deepen understanding of database and Big Data systems for optimal architecture design
  • IT Managers: Gain insights into technologies shaping data landscapes for strategic decision-making
  • Data Engineers: Develop proficiency in managing and processing large-scale data with Hadoop and SQL.
  • Technology Enthusiasts: Satisfy curiosity by exploring cutting-edge technologies transforming the data management landscape

Requirements

No specific requirements exist for enrolling in the SQL NoSQL Big Data and Hadoopcourse. Therefore, learners do not need previous qualifications to sign up for this course.

Career path

The “SQL NoSQL Big Data and Hadoop” course provides highly demanded skills in the industry, especially:

  • Database Administrator: £30,000 – £60,000 per annum
  • Data Analyst: £25,000 – £50,000 per annum
  • Software Developer (Database Focus): £35,000 – £70,000 per annum
  • IT Manager (Data and Systems): £45,000 – £90,000 per annum
  • Data Scientist: £40,000 – £80,000 per annum

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Certificates

Advanced Diploma in SQL NoSQL Big Data and Hadoop at QLS Level 7

Hard copy certificate - £75

Reviews

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FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.