Course Code: IT 158
2977 Course Visits
MongoDB
Course Sector:
Information Technology
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
30 Jun - 04 Jul 2025
5 Days
Barcelona, Spain
$4,950
02
06 - 10 Oct 2025
5 Days
Abu Dhabi, UAE
$4,250
Introduction
Training course introducion / brief
A multitude of new databases is created every year. MongoDB has found a home in so many different businesses and functions because it does a great job solving many longstanding problems in data management and software development. This training course is designed to provide participants with the foundational concepts of MongoDB and how its document-oriented nature allows quick building of highly scalable applications. Through the topics, participants will learn skills to develop, administer, secure, and scale MongoDB-based applications, and acquire low-cost, data-driven applications with MongoDB as the back-end database. 
Course Objectives
At the end of the training course, participants will be able to
  • Develop highly scalable and cost-efficient applications with MongoDB
  • Build efficient MongoDB data models for enterprise-scale applications
  • Enhance performance with indexing and sharding
  • Manage consistency with write concern and read preference
  • Process data and compute results with aggregation pipelines and MapReduce 
Course Audience
Who is this course for, and can benefit the most
  • Cloud Computing Engineer
  • Computer Network Specialist
  • Computer Support Specialist
  • Database Administrator
  • Information Technology Analyst
  • Information Technology Leadership
  • Information Security Specialist
  • Software/Application Developer
  • Web Developer
  • Technology sales consultant
Course Outline
The course aims and learning outcomes
RECOGNIZING THE NEED FOR NOSQL DATA STORES
  • Justifying non-relational data stores
  • Listing the categories of NoSQL Data Stores
  • FOCUSING ON MONGODB
  • Defining the MongoDB architecture
  • Reviewing the JSON standard
  • Enumerating the MongoDB data types
INTERACTING WITH MONGODB
  • Querying at the Command Line Interface
  • Running Scripts
  • Manipulating MongoDB data from Python and Java 
SURVEYING CLUSTER TOPOLOGY
  • Creating a standalone mongod
  • Achieving redundancy with replica sets
  • Replicating data with the oplog
DISSECTING MONGODB STORAGE STRATEGIES
  •  Identifying storage engines
  • Improving data safety with journaling
  • Investigating record allocation strategies
  • STORING LARGE FILES WITH GRIDFS
  • Weighing the advantages and disadvantages of GridFS
  • Leveraging the mongofiles utility tool
  • Compressing data for economy of drive space 
ORGANIZING DATA
  • Storing data in Databases, collections and documents
  • Inserting and updating Documents
  • Running scripts from the Mongo Shell
QUERYING DOCUMENTS
  • Restricting find() with a query document
  • Specifying keys for queries to return
  • Constraining the number of results with limit and skip
MODELING RELATIONSHIPS
  • Express relationships using references
  • Embedding sub-documents 
CONFIGURING READ AND WRITE CONSISTENCY
  • Reading from primary and secondary nodes
  • Setting the read preference level
  • Selecting the Appropriate Write Concern
  • Writing with a timeout
CUSTOMIZING WRITE CONCERN AND READ PREFERENCE
  • Applying tags to replicas
  • Adding logical names to write concerns
  • Reading from a tagged mongodb
LEVERAGING THE DIFFERENT MODES OF THE AGGREGATION FRAMEWORK
  • Invoking single-purpose aggregation functions
  • Performing operations with the Aggregation Pipeline framework
  • Executing MapReduce on MongoDB 
IMPROVING ACCESS SPEED WITH INDEXES
  • Investigating a query with the explain() function
  • Getting statistics from explain()
  • Choosing an index with the hint() function
CONSIDERING THE COST AND BENEFIT OF INDEXING
  • Designing a better index
  • Opting out of using an index
  • Profiling to identify slow queries
TAKING ADVANTAGE OF INDEXES
  • Sorting and finding ranges with an index
  • Guaranteeing uniqueness with indexes
  • Skipping missing fields with a sparse index
MANAGING COLLECTIONS WITH SPECIAL INDEXES
  • Aging data out of a capped collection
  • Searching for text fragments with $text
  • Deleting documents automatically using time to live indexes
  • Permitting queries by location 
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Over all rating
Excellent
Average
Below average
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY

Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).

At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.

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