Advanced DBMS Concepts
Track Software Development
Duration 60 hours
Skill Level Advanced
Language English

About this Course

Study transactions, indexing, normalization, and database design.
Learning Mode: Learn at ALC or at Home

Detailed Course Curriculum

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

  • PL/SQL Block of Code
  • SQL Query Using Aggregate Functions_1
  • SQL Query Using Aggregate Functions_2
  • SQL Query Using Aggregate Functions_3
  • SQL Query Using Aggregate Functions_4
  • Introduction to Triggers in SQL_1
  • Introduction to Triggers in SQL_2
  • Introduction to Triggers in SQL_2
  • Assertions vs Triggers
  • The DROP Command
  • The ALTER Command
  • Example on Assertions
  • List Data Definition Languages (DDL) Commands of Base Table and View
  • List Data Definition Languages (DDL) Commands of Base Table and View
  • List Data Manipulation Language (DML) Of Base Tables and Views_1
  • List Data Manipulation Language (DML) Of Base Tables and Views_2
  • Exercise on Data Manipulation Language (DML) Of Base Tables and Views_1
  • Exercise on Data Manipulation Language (DML) Of Base Tables and Views_1
  • Exercise on Data Manipulation Language (DML) Of Base Tables and Views_2
  • Exercise on Data Manipulation Language (DML) Of Base Tables and Views_2
  • Examples Using Grouping Functions
  • Examples Using Grouping Functions
  • SQL Query Using Grouping Functions
  • Insert, Delete and Update Triggers
  • Database Trigger on Library Table
  • Database Application Development
  • Accessing Databases from Applications
  • Accessing Databases from Applications
  • Cursors
  • Cursors
  • Basic Cursor Definition and Usage
  • Basic Cursor Definition and Usage Examples
  • Properties of Cursors
  • Dynamic SQL
  • Introduction to JDBC_1
  • Introduction to JDBC_2
  • JDBC Classes and Interfaces
  • JDBC Driver Management
  • JDBC Driver Management
  • Connections
  • Executing SQL Statements
  • Result Sets
  • Matching Java and SQL Data Types
  • Exceptions and Warnings
  • Examining Database Metadata_1
  • Examining Database Metadata_2
  • SQL in Java (SQLJ)
  • Stored procedures
  • Stored procedures
  • Stored Procedures - Steps to Call and Execute
  • Example - Creation of Stored Procedures
  • SQL/PSM
  • SQL/PSM Example
  • Write a SQL block
  • Write a SQL block
  • SQL Block to Create Trigger on Library Table
  • Introduction and Objectives to DB Design
  • Informal Design Guidelines for Relation Schema
  • Imparting Clear Semantics to Attributes in Relations, Guidelines and Example
  • Redundant Information in Tuples and Update Anomalies
  • Insertion, Deletion and Modification Anomalies
  • Insertion, Deletion and Modification Anomalies
  • Generation of Spurious Tuples
  • Functional Dependencies - Definition and Diagrammatic Notations
  • Normalization of Relations
  • Practical Use of Normal Forms
  • Definitions of Keys and Attributes Participating in Keys
  • First Normal Form (1NF)
  • Second Normal Form (2NF)
  • Second Normal Form (2NF)
  • Third Normal Form (3NF)
  • Boyce-Codd Normal Form
  • Multivalued Dependency and Fourth Normal Form
  • Formal Definition of Multivalued Dependency
  • Formal Definition of Multivalued Dependency
  • Join Dependencies and Fifth Normal Form
  • Normalization Algorithms
  • Inference Rules, Equivalence and Minimal Cover
  • Inference Rules, Equivalence and Minimal Cover
  • Inference Rules for Functional Dependencies
  • Inference Rules for Functional Dependencies
  • Equivalence of Sets of Functional Dependencies
  • Sets of Functional Dependencies with Algorithms
  • Sets of Functional Dependencies with Algorithms
  • Properties of Relational Decompositions
  • Universal Relation Schema
  • Universal Relation Schema
  • Attribute Preservation Condition of a Decomposition
  • Attribute Preservation Condition of a Decomposition
  • Dependency Preservation Property
  • Dependency Preservation Property
  • Lossless (Non-additive) Join Property
  • Lossless (Non-additive) Join Property
  • Testing Binary Decompositions for the Nonadditive Join Property
  • Testing Binary Decompositions for the Nonadditive Join Property
  • Algorithms for Relational Database Schema Design
  • Dependency Preservation and Nonadditive Join Decomposition into 3NF Schemas
  • Dependency Preservation and Nonadditive Join Decomposition into 3NF Schemas
  • Nonadditive Join Decomposition into BCNF Schemas
  • Nonadditive Join Decomposition into BCNF Schemas
  • Nulls, Dangling Tuples and Alternative Relational Desig
  • Problems with NULL Values and Dangling Tuples
  • Problems with NULL Values and Dangling Tuples
  • Inclusion Dependencies
  • Template Dependencies
  • Functional Dependencies Based on Arithmetic Functions and Procedures
  • Domain-Key Normal Form
  • Domain-Key Normal Form
  • Transaction Processing
  • Features and Types of TPS
  • Single-User vs Multiuser Systems
  • Transactions, Database Items, Read and Write Operations and DBMS Buffers_1
  • Transactions, Database Items, Read and Write Operations and DBMS Buffers_2
  • Why Concurrency Control Is Needed_1
  • Why Concurrency Control Is Needed_2
  • Why Recovery Is Needed
  • Why Recovery Is Needed
  • Transaction and System Concepts
  • Transaction States and Additional Operations
  • Transaction States and Additional Operations
  • The System Log
  • The System Log
  • ACID Properties_1
  • ACID Properties_2
  • ACID Properties_2
  • Commit Point of a Transaction
  • DBMS Specific Buffer Replacement Policies
  • Desirable Properties of Transactions_1
  • Desirable Properties of Transactions_1
  • Desirable Properties of Transactions_2
  • Desirable Properties of Transactions_2
  • Characterizing Schedules Based on Recoverability
  • Characterizing Schedules Based on Serializability
  • Testing Conflict Serializability of a Schedule S-1
  • Testing Conflict Serializability of a Schedule S-1
  • End Test
  • Credit 3 End Test
  • Credit 3 End Test
  • Transaction Support in SQL_1
  • Transaction Support in SQL_2
  • Transaction Support in SQL_2
  • Introduction to Concurrency Control_1
  • Introduction to Concurrency Control_2
  • Introduction to Concurrency Control_2
  • Two-Phase Locking Techniques for Concurrency Control
  • Types of Locks and System Lock Tables_1
  • Types of Locks and System Lock Tables_1
  • Types of Locks and System Lock Tables_2
  • Types of Locks and System Lock Tables_2
  • Guaranteeing Serializability by Two-Phase Locking
  • Guaranteeing Serializability by Two-Phase Locking
  • Variations of Two-Phase Locking_1
  • Variations of Two-Phase Locking_2
  • Dealing with Deadlock and Starvation_1
  • Dealing with Deadlock and Starvation_1
  • Dealing with Deadlock and Starvation_2
  • Deadlock Detection_1
  • Deadlock Detection_2
  • Deadlock Detection_2
  • Concurrency Control Based on Timestamp Ordering
  • Timestamps
  • Timestamps
  • Multiversion Concurrency Control Techniques
  • Multiversion Technique Based on Timestamp Ordering
  • Multiversion Two-Phase Locking Using Certify Locks
  • Validation Concurrency Control Techniques
  • Validation Concurrency Control Techniques
  • Granularity of Data Items and Multiple Granularity Locking
  • Recovery Concepts
  • Recovery Outline and Categorization of Recovery Algorithms
  • Recovery Outline and Categorization of Recovery Algorithms
  • Caching (Buffering) of Disk Blocks
  • Caching (Buffering) of Disk Blocks
  • Write-Ahead Logging, Steal/No-Steal and Force/No-Force_1
  • Write-Ahead Logging, Steal/No-Steal and Force/No-Force_1
  • Write-Ahead Logging, Steal/No-Steal and Force/No-Force_2
  • Write-Ahead Logging, Steal/No-Steal and Force/No-Force_2
  • Checkpoints in the System Log and Fuzzy Checkpointing
  • Checkpoints in the System Log and Fuzzy Checkpointing
  • Transaction Rollback and Cascading Rollback
  • Transaction Rollback and Cascading Rollback
  • Transaction Actions That Do Not Affect the Database
  • Transaction Actions That Do Not Affect the Database
  • NO - UNDO or REDO Recovery Based on Deferred Update
  • Recovery Techniques Based on Immediate Update
  • Shadow Paging
  • Database Backup and Recovery from Catastrophic Failures
  • Key value Database
  • Introduction
  • Working of Key-Value Databases
  • Features and Functions of Key-Value Databases
  • Schema Design to Support Key Value_1
  • Schema Design to Support Key Value_2
  • Key - Value Database Vs Cache
  • Graph Database
  • The Property Graph Model
  • Why Data Relationships Matter
  • Why Other NoSQL Databases don’t Fix the Problem Either
  • Relational vs Graph Data Modeling Match-Up
  • Example Data Model - Fraud Detection in Email Communications
  • Database Query Language
  • Cloud Databases
  • 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
  • Database Clustering and Sharding
  • Shared - Nothing Architecture
  • Shared - Disk Architecture
  • Sharding
  • Sharded Cluster Components
  • Shard Keys
  • Advantages of Sharding
  • Considerations Before Sharding_1
  • Considerations Before Sharding_2
  • Considerations Before Sharding_3
  • Sharded and Non-Sharded Collections and Connecting to a Sharded Cluster_1
  • Sharded and Non-Sharded Collections and Connecting to a Sharded Cluster_2
  • Data Analytics and BI Tools
  • Introduction, Benefits of Business Intelligence Tools
  • Best data analytics and BI tools
  • Microsoft Power BI_1
  • Microsoft Power BI_2
  • Tableau_1
  • Tableau_2
  • Qlik Sense_1
  • Qlik Sense_2
  • Sisense_1
  • Sisense_2
  • Best BI Tool for Developing and Deploying Analytics Apps
  • Looker
  • Oracle_1
  • Oracle_2
  • Domo BI_1
  • Domo BI_2
  • SaS Analytics_1
  • SaS Analytics_2
  • MongoDB - Overview
  • 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_1
  • Install MongoDB on Ubuntu_2
  • MongoDB Statistics
  • CRUD Operations in MongoDB_1
  • CRUD Operations in MongoDB_2
  • CRUD Operations in MongoDB_3
  • CRUD Operations in MongoDB_4
  • MongoDB - Data Modelling and Documentation
  • Data Modelling
  • Some Considerations While Designing Schema in MongoDB
  • Some Considerations While Designing Schema in MongoDB_1
  • Some Considerations While Designing Schema in MongoDB_2
  • Create Database
  • Drop Database
  • Create Collection
  • Data Types
  • Insert Document
  • Query Document
  • Update Document
  • Delete Document
  • Design and Develop MongoDB Queries using CRUD operations
  • Design and Develop MongoDB Queries using CRUD operations
  • Projection
  • Limiting Records
  • Sorting Records
  • Aggregation
  • Aggregation - Examples
  • Authentication Mechanisms in MongoDB
  • Backing up and Restoring Data
  • Backing up and Restoring Data- Examples
  • Bulk Operations with Examples
  • Indexing_1
  • 2D - Sphere Index
  • Indexing_2
  • Replication_1
  • Replication_2
  • Program to Implement Aggregation and Indexing in MongoDB_1
  • Program to Implement Aggregation and Indexing in MongoDB_2
  • Program to Implement Aggregation and Indexing in MongoDB_3
  • Create Backup of Sharded Cluster
  • SQL vs Mongo DB Entities
  • Consistency of Data_1
  • Consistency of Data_2
  • Query through API_1
  • Query through API_2
  • Exercise – 1
  • Exercise – 2
  • Exercise – 3
  • Advanced MongoDB
  • MongoDB – Deployment
  • Typical MongoDB Deployment, Read Preference and Write Concern_1
  • Operation Performance and Partition
  • MongoDB - Covered Queries_1
  • MongoDB - Covered Queries_2
  • Relationships
  • Embedded Relationships in MongoDB
  • One to One Relationships in MongoDB
  • One to Many Relationships in MongoDB
  • Document Referenced Relationships in MongoDB_1
  • Document Referenced Relationships in MongoDB_2
  • Database References_1
  • Database References_2
  • List of Drivers Supported by DBRefs
  • MongoDB - Map Reduce
  • Syntax
  • Examples
  • Using MapReduce_1
  • Using MapReduce_2
  • Using MongoDB as a Service: mLab
  • Implement MapReduce Operation using MongoDB_1
  • Implement MapReduce Operation using MongoDB_2
  • Implement MapReduce Operation using MongoDB_3
  • Execute the Query and Study its Execution Plan_1
  • Execute the Query and Study its Execution Plan_2
  • Careers in Database Technology_1
  • Careers in Database Technology_2
  • Careers in Database Technology_3
  • Mini Project 1
  • Mini Project 2
  • Mini Project 3
  • Mini Project 4
  • Mini Project 5
  • Credit 4 End Test
  • Credit 4 End Test
  • Credit 4 End Test
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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