MongoDB Certification Training
Access Duration - 365 Days
4.5( 2 REVIEWS )
131 STUDENTS
What Will I Learn?
Learn about the roles played by MongoDB experts
Learn to troubleshoot performance issues
Understand the MongoDB aggregation framework
Learn about availability and scalability in MongoDB
Learn to setup a replicated cluster
Overview
If you wish to master a popular NoSQL database, the MangoDB Certification Training is a great course to get started on in order to master data modeling, query and sharding and ingestion. The course will equip you with administering, development and engineering skills. MongoDB is designed for scalability, speed and agility. You will learn how to setup, control and monitor MangoDB cloud products in deployments. It is a comprehensive course perfectly suitable for database administrators, developers on cloud and data analytics engineers.
MangoDB Certification Training will provide a wealth of knowledge on how to define MongoDB goals, understand the concepts of a database, learn JSON and BSON and use different MongoDB tools in real-life scenarios.
MangoDB Certification Training will also introduce learners to collection, documents and key values and types of NoSQL databases. Qualifying in this course will set you in the right direction, giving you the opportunity to open the door to new and exciting job roles in a database environment.
Why You Should Consider Taking this Course at Global Edulink?
Global Edulink is a leading online provider for several accrediting bodies, and provides learners the opportunity to take this exclusive course awarded by CPD. At Global Edulink, we give our fullest attention to our learners’ needs and ensure they have the necessary information required to proceed with the Course. Learners who register will be given excellent support, discounts for future purchases and be eligible for a TOTUM Discount card and Student ID card with amazing offers and access to retail stores, the library, cinemas, gym memberships and their favourite restaurants.
- Access Duration
- Who is this Course for?
- Entry Requirement
- Method of Assessment
- Certification
- Awarding Body
- Career Path & Progression
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lessons at any time.
This course is recommended for,
- Database Administrators
- Database Engineers
- Applications Engineers
- Developers working on web, cloud and mobile
- Data Analytics and Visualisation Engineers
- Learners should be over the age of 16, and have a basic understanding of English, ICT and numeracy.
- A sound educational background is recommended
- Basic understanding of Java is recommended
In order to qualify in the course ‘MangoDB Certification Training g’ successfully, learners will take an online test with each module being rounded off with multiple-choice questions. This online test is marked automatically, so you will receive an instant grade and know whether you have passed the course.
Upon the successful completion of the course, you will be awarded the MangoDB Certification Training by CPD.
CPD is a leading awarding body in the United Kingdom that meets an excellent standard of high quality education. CPD is committed towards the enhancement of proficiency and personal skills in order to develop learners’ skills and abilities. CPD ensures that both practical and academic qualifications assist individuals to re-skill or up-skill and maintain a competitive advantage in their chosen industry.
MangoDB Certification Training will improve your candidature for a number of jobs in database management. You can study further courses in the same field and enhance your academic expertise, and add this as a valuable skillset on your resume. Your skills will be recognised by leading organisations that give you the opportunity to land a well-paying job in a data environment. Given below are job titles you can compete for, along with the average UK salary per annum according to https://www.glassdoor.com.
- Database Administrator - £64,000 (Approximately)
- Data Engineer - £76,000 (Approximately)
- Applications Engineer - £51,000 (Approximately)
Key Features
Gain an Accredited UK Qualification
Access to Excellent Quality Study Materials
Personalised Learning Experience
Support by Phone, Live Chat, and Email
Eligible for TOTUM Discount Card
UK Register of Learning Providers Reg No : 10053842Course Curriculum
| 1: Introduction to MongoDB - Architecture and Installation | |||
| Understanding the basic concepts of a Database | |||
| Database categories: What is NoSQL? Why NoSQL? Benefit over RDBMS | |||
| Types of NoSQL Database, and NoSQL vs. SQL Comparison, ACID & Base Property | |||
| CAP Theorem, implementing NoSQL and what is MongoDB? | |||
| Overview of MongoDB, Design Goals for MongoDB Server and Database, MongoDB tools | |||
| understanding the following: Collection, Documents and Key/ Values, etc., | |||
| Introduction to JSON and BSON documents | |||
| Environment setup (live Hands-on) and using various MongoDB tools available in the MongoDB Package | |||
| Case study discussion | |||
| 2: Schema Design and Data Modelling | |||
| Data Modelling Concepts | |||
| Why Data Modelling? Data Modelling Approach | |||
| Analogy between RDBMS & MongoDB Data Model, MongoDB Data Model (Embedding & Linking) | |||
| Challenges for Data Modelling in MongoDB | |||
| Data Model Examples and Patterns | |||
| Model Relationships between Documents | |||
| Model Tree Structures | |||
| Model Specific Application Contexts | |||
| Use Case discussion of Data modeling | |||
| 3: CRUD Operations | |||
| MongoDB Development Architecture | |||
| MongoDB Production Architecture | |||
| MongoDB CRUD Introduction, MongoDB CRUD Concepts | |||
| MongoDB CRUD Concerns (Read & Write Operations) – | |||
| Concern Levels, Journaling, etc., | |||
| Cursor Query Optimizations, Query Behavior in MongoDB | |||
| Distributed Read & Write Queries | |||
| MongoDB Datatypes | |||
| MongoDB CRUD Syntax & Queries (Live Hands on) | |||
| 4: Indexing and Aggregation Framework | |||
| Index Introduction, Index Concepts, Index Types, Index Properties | |||
| Index Creation and Indexing Reference | |||
| Introduction to Aggregation | |||
| Approach to Aggregation | |||
| Types of Aggregation (Pipeline, MapReduce & Single Purpose) | |||
| Performance Tuning. | |||
| 5: MongoDB Administration | |||
| Administration concepts in MongoDB | |||
| Monitoring issues related to Database | |||
| Monitoring at Server, Database, Collection level, and various Monitoring tools related to MongoDB | |||
| Database Profiling, Locks, Memory Usage, No of connections, page fault etc., | |||
| Backup and Recovery Methods for MongoDB | |||
| Export and Import of Data to and from MongoDB | |||
| Run time configuration of MongoDB | |||
| Production notes/ best practices | |||
| Data Managements in MongoDB (Capped Collections/ Expired data from TTL), Hands on Administrative Tasks | |||
| 6: Scalability and Availability | |||
| Introduction to Replication (High Availability) | |||
| Concepts around Replication | |||
| What is Replica Set and Master Slave Replication? | |||
| Type of Replication in MongoDB | |||
| How to setup a replicated cluster & managing replica sets etc., | |||
| Introduction to Sharding (Horizontal Scaling), | |||
| Concepts around Sharding, what is shards, Key, | |||
| Config Server, Query Router etc. | |||
| How to setup a Sharding | |||
| Type of Sharding (Hash Based, Range Based etc.), and Managing Shards. | |||
| 7: MongoDB Security | |||
| Security Introduction | |||
| Security Concepts | |||
| Integration of MongoDB with Jaspersoft | |||
| Integration of MongoDB with Pentaho | |||
| Integration of MongoDB with Hadoop/Hive | |||
| Integration of MongoDB with Java | |||
| Integration of MongoDB with GUI Tool Robomongo | |||
| Case Study MongoDB and Java | |||
| 8.Application Engineering and MongoDB Tools | |||
| MongoDB Package Components | |||
| Configuration File Options | |||
| MongoDB Limits and Thresholds | |||
| Connection String URI Format/ Integration of any compatible tool with MongoDB API and Drivers for MongoDB | |||
| MMS (MongoDB Monitoring Service) | |||
| HTTP and Rest Interface | |||
| Integration of MongoDB with Hadoop and Data Migration MongoDB with Hadoop (MongoDB to Hive) | |||
| Integration with R | |||
| 9.MongoDB on the Cloud | |||
| Overview of MongoDB Cloud products | |||
| Using Cloud Manager to monitor MongoDB deployments | |||
| Introduction to MongoDB Stitch | |||
| MongoDB Cloud Atlas | |||
| MongoDB Cloud Manager | |||
| Working with MongoDB Ops Manager | |||
| 10.Diagnostics and Fixes | |||
| Overview of tools | |||
| MongoDB Diagnostic Tools | |||
| Diagnostics Commands | |||
| MongoDB Deployment | |||
| Setup & Configuration, Scalability, Management & Security | |||
| Slow Queries | |||
| Connectivity | |||
Aaron Willis
I had a successful outcome. The training was even better than I expected. I strongly recommend it to anyone who wants to learn about document-oriented NoSQL databases.
Dottie Wilson
Every part of this training was very good. All sections were explained using real-life case studies.