Advanced Database Management and Application
Track Software Development
Duration 30 hours
Skill Level Advanced
Language English

About this Course

Apply database concepts in real-world applications using normalization and schema design.
Learning Mode: Learn at ALC or at Home

Detailed Course Curriculum

Hands-on module breakdown aligned with MKCL production standards and industry requirements.

  • Transaction Support in SQL
  • Introduction to Concurrency Control
  • Two-Phase Locking Techniques for Concurrency Control
  • Variations of Two-Phase Locking
  • Dealing with Deadlock and Starvation
  • Deadlock Detection
  • Concurrency Control Based on Timestamp Ordering
  • Multiversion Concurrency Control Techniques
  • Granularity of Data Items and Multiple Granularity Locking
  • Recovery Concepts
  • NO - UNDO or REDO Recovery Based on Deferred Update
  • Recovery Techniques Based on Immediate Update
  • Shadow Paging
  • Database Backup and Recovery from Catastrophic Failures
  • Working of Key-Value Databases
  • Features and Functions of Key-Value Databases
  • Schema Design to Support Key Value
  • Key - Value Database Vs Cache
  • The Property Graph Model
  • Why Data Relationships Matter
  • Why Other NoSQL Databases don’t Fix the Problem Either
  • Relational vs Graph Data Modelling Match-Up
  • Example Data Model - Fraud Detection in Email Communications
  • Database Query Language
  • Difference Between Cloud and Database
  • Cloud Database Deployment Models
  • Key Benefits of Cloud Databases
  • When to Use a Cloud Database
  • Additional Considerations of Cloud Database
  • Some Large Cloud Providers and Databases
  • Advantages of Sharding
  • Shared - Nothing Architecture
  • Shared - Disk Architecture
  • Sharding
  • Sharded Cluster Components
  • Considerations Before Sharding
  • Sharded and Non-Sharded Collections and Connecting to a Sharded Cluster
  • Introduction, Benefits of Business Intelligence Tools
  • Best data analytics and BI tools
  • Microsoft Power BI
  • Tableau
  • Qlik Sense
  • Sisense
  • Best BI tool for developing and deploying analytics apps
  • Looker – data analytics and BI tool for start-ups and mid-sized businesses
  • Oracle
  • Domo BI
  • SAS Analytics
  • Relationship of RDBMS Terminology with MongoDB
  • Sample Document
  • Key Components of MongoDB Architecture
  • MongoDB - Advantages
  • Functionality of MongoDB
  • MongoDB - CAP Approach
  • MongoDB - Hierarchical Objects
  • MongoDB - Environment
  • MongoDB Processes and Configuration
  • Install MongoDB on Windows
  • Install MongoDB on Ubuntu
  • MongoDB Statistics
  • CRUD Operations in MongoDB
  • Data Modelling
  • Some Considerations While Designing Schema in MongoDB
  • Create Database
  • Drop Database
  • Create Collection
  • Data Types
  • Insert Document
  • Query Document
  • Update Document
  • Delete Document
  • Design and Develop MongoDB Queries using CRUD operations
  • Projection
  • Limiting Records
  • Sorting Records
  • Aggregation - Examples
  • Authentication Mechanisms in MongoDB
  • Bulk Operations with Examples
  • Indexing
  • Replication
  • Program to Implement Aggregation and Indexing in MongoDB
  • Create Backup of Sharded Cluster
  • SQL vs Mongo DB Entities
  • Consistency of Data
  • Query through API
  • Exercise on Student Database Agenda
  • MongoDB – Deployment
  • Typical MongoDB Deployment, Read Preference and Write Concern_1
  • Operation Performance and Partition
  • Relationships
  • Database References
  • List of Drivers Supported by DBRefs
  • MongoDB - Map Reduce
  • Using MongoDB as a Service: mLab
  • Execute the Query and Study its Execution Plan
  • Careers in Database Technology
Eligibility Criteria
• Basic knowledge of computers and keen desire to build skills in this field.
• Open to students, job seekers, and working professionals.
Official Certification
• Official MKCL KLiC Certificate upon successful completion of the course and evaluations.
Work-Centric Learning Approach
• Step 1: Learners are given an overview of the course and its connection to life and work
• Step 2: Learners are exposed to the specific tool(s) used in the course through the various real-life applications of the tool(s).
• Step 3: Learners are acquainted with the careers and the hierarchy of roles they can perform at workplaces after attaining increasing levels of mastery over the tool(s).
• Step 4: Learners are acquainted with the architecture of the tool or tool map so as to appreciate various parts of the tool, their functions, utility and inter-relations.
• Step 5: Learners are exposed to simple application development methodology by using the tool at the beginner’s level.
• Step 6: Learners perform the differential skills related to the use of the tool to improve the given ready-made industry-standard outputs.
• Step 7: Learners are engaged in appreciation of real-life case studies developed by the experts.
• Step 8: Learners are encouraged to proceed from appreciation to imitation of the experts.
• Step 9: After the imitation experience, they are required to improve the expert’s outputs so that they proceed from mere imitation to emulation.
• Step 10: Emulation is taken a level further from working with differential skills towards the visualization and creation of a complete output according to the requirements provided. (Long Assignments)
• Step 11: Understanding the requirements, communicating one’s own thoughts and presenting are important skills required in facing an interview for securing a work order/job. For instilling these skills, learners are presented with various subject-specific technical as well as HR-oriented questions and encouraged to answer them.
• Step 12: Finally, they develop the integral skills involving optimal methods and best practices to produce useful outputs right from scratch, publish them in their ePortfolio and thereby proceed from emulation to self-expression, from self-expression to self-confidence and from self-confidence to self-reliance and self-esteem!

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