NoSQL Databases and Data Modeling

Mastering NoSQL Databases for Scalable, High-Performance, and Flexible Data Solutions

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Weeks

About

The NoSQL Databases and Data Modeling program provides an in-depth understanding of NoSQL architectures, distributed storage, and data modeling techniques across different NoSQL database types. Participants will gain hands-on experience with MongoDB, Cassandra, Redis, Firebase, and Neo4j, learning how to apply NoSQL best practices for Big Data, cloud computing, and real-time applications.

Aim

To equip participants with the knowledge and skills required to design, manage, and optimize NoSQL databases, focusing on schema-less data modeling, scalability, and performance tuning for modern applications.

Program Objectives

To introduce participants to NoSQL databases and their key differences from SQL.
To provide hands-on experience with NoSQL data modeling and indexing strategies.
To train participants in scaling and optimizing NoSQL databases for high-performance applications.
To explore security and cloud-based NoSQL implementations.
To prepare professionals for careers in NoSQL database administration, Big Data, and cloud data engineering.

Program Structure

Week 1: Introduction to NoSQL and Database Fundamentals

Module 1: Understanding NoSQL Databases

What is NoSQL?
- Differences between SQL and NoSQL databases.
- CAP Theorem: Consistency, Availability, Partition Tolerance.
- When to choose NoSQL over traditional RDBMS.
Types of NoSQL Databases
- Key-Value Stores (Redis, DynamoDB).
- Document Stores (MongoDB, CouchDB).
- Column-Family Stores (Cassandra, HBase).
- Graph Databases (Neo4j, Amazon Neptune).

Hands-On Lab:

Setting up a NoSQL environment (MongoDB or Cassandra) and inserting basic data.

Module 2: Data Modeling in NoSQL

Schema Design in NoSQL vs. Relational Databases
- Denormalization vs. normalization.
- Understanding hierarchical, key-value, and flexible schema design.
Choosing the Right NoSQL Model for a Use Case
- Best practices for different data models in NoSQL databases.

Hands-On Lab:

Designing a schema for a document-based NoSQL database (MongoDB).

Week 2: Working with NoSQL Databases and Query Optimization

Module 3: Querying and Indexing in NoSQL

CRUD Operations in NoSQL
- Insert, Read, Update, Delete operations in different NoSQL databases.
Indexing and Performance Optimization
- How indexing works in NoSQL databases.
- Using compound indexes for query performance improvement.

Hands-On Lab:

Performing CRUD operations and creating indexes in MongoDB/Cassandra.

Module 4: Scalability and High Availability in NoSQL

Replication and Sharding
- How NoSQL handles distributed data.
- Configuring replication for high availability.
Horizontal vs. Vertical Scaling
- How NoSQL databases scale and handle large volumes of data.

Hands-On Lab:

Implementing replication and sharding in MongoDB/Cassandra.

Week 3: Advanced NoSQL Topics and Cloud-Based NoSQL Solutions

Module 5: Security, Transactions, and Backup in NoSQL

Security in NoSQL Databases
- Authentication, authorization, and access control.
- Data encryption and secure communication.
Transactions and Consistency Models
- Eventual consistency vs. strong consistency.
- Multi-document transactions in NoSQL.

Hands-On Lab:

Configuring security settings and implementing ACID-like transactions in MongoDB.

Module 6: NoSQL in the Cloud and Real-World Applications

NoSQL in the Cloud
- AWS DynamoDB, Google Firestore, and Azure CosmosDB.
- Serverless NoSQL databases and their advantages.
Use Cases of NoSQL in Different Industries
- E-commerce, real-time analytics, social media, IoT, and big data.

Hands-On Lab:

Deploying a NoSQL database in the cloud (AWS DynamoDB or Firebase Firestore).

Participant’s Eligibility

Software developers and IT professionals
Data engineers and database administrators
Cloud architects and DevOps engineers
Students and researchers in data science and analytics

Program Outcomes

Proficiency in NoSQL database design, modeling, and optimization
Hands-on experience with MongoDB, Cassandra, Redis, and Graph Databases
Ability to scale, secure, and optimize NoSQL databases for enterprise applications
Understanding of CAP theorem, distributed computing, and cloud NoSQL solutions
Readiness for MongoDB Certified DBA, Cassandra Professional Certification, and NoSQL-related cloud certifications

Fee Structure

Standard Fee: INR ~~16,998~~ USD ~~224~~

Discounted Fee: INR 8,499 USD 112

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

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