Description

Course Description:

This course provides a solid foundation in Apache Cassandra, a highly scalable, distributed NoSQL database designed to handle large amounts of data across multiple servers with no single point of failure. You’ll learn how Cassandra powers real-time applications that demand high availability, fault tolerance, and scalability.

By the end of this program, learners will be able to design, implement, and optimize Cassandra-based solutions for enterprise and cloud-native applications.

Key Features of Course Divine:

• Collaboration with E‑Cell IIT Tirupati
• 1:1 Online Mentorship Platform
• Credit-Based Certification
• Live Classes Led by Industry Experts
• Live, Real-World Projects
• 100% Placement Support
• Potential Interview Training
• Resume-Building Activities

Career Opportunities After Cassandra for Scalable Applications Certified Course:

• Cassandra Database Administrator
• Big Data Engineer
• Data Architect
• NoSQL Developer
• Cloud Data Engineer
• DevOps Engineer (with Cassandra expertise)

Essential Skills you will Develop Cassandra for Scalable Applications Certified Course:

• Fundamentals of NoSQL and distributed databases.
• Data modeling, replication, and partitioning in Cassandra.
• Querying data with CQL (Cassandra Query Language).
• Managing performance, scaling clusters, and ensuring fault tolerance.
• Integrating Cassandra with big data and cloud ecosystems.
• Best practices for deployment, monitoring, and security.

Tools Covered:

• Apache Cassandra
• Cassandra Query Language (CQL)
• Data tax tools (Decenter, Obscener)
• Integration with Spark & Hadoop
• Kubernetes & Docker (for Cassandra deployment)
• Prometheus & Graafian (for monitoring)

Syllabus:

Module 1: Introduction to NoSQL & Cassandra Overview of SQL vs. NoSQL databases Types of NoSQL databases (Key-Value, Document, Column, Graph) Apache Cassandra architecture & use cases Real-world applications of Cassandra (Netflix, Uber, Apple) Installation & setup of Cassandra.

Module 2: Cassandra Architecture & Core Concepts Peer-to-Peer distributed architecture Data replication, partitioning & consistency Gossip protocol & snitches Read and write paths in Cassandra Fault tolerance & high availability.

Module 3: Cassandra Data Modeling Principles of data modeling in Cassandra Primary keys, clustering columns, and partition keys Denormalization strategies Designing efficient schema for scalability Case studies in data modeling.

Module 4: Cassandra Query Language (CQL) Introduction to CQL syntax Creating and managing key spaces & tables CRUD operations (Insert, Select, Update, Delete) Collections (Set, List, Map) Batch operations and indexing.

Module 5: Advanced CQL & Performance Optimization User-defined types (UDTs) Lightweight transactions (LWT) Secondary indexes vs. materialized views Query optimization techniques Handling tombstones and compaction strategies.

Module 6: Cassandra Cluster Management Setting up a multi-node cluster Cluster topology and scaling strategies Load balancing & token allocation Configuring replication factor & consistency levels Backup & restore techniques.

Module 7: Cassandra Administration & Monitoring  Monitoring performance with Prometheus & Graafian Repairing nodes & handling failures Upgrades & schema migrations Capacity planning for Cassandra clusters.

Module 8: Integrating Cassandra with Big Data & Cloud Connecting Cassandra with Apache Spark for analytics Using Cassandra with Hadoop ecosystem Cassandra integration with Kafka for streaming data Deployment on AWS, Azure, GCP Running Cassandra in Docker & Kubernetes.

Module 9: Security, Best Practices & Troubleshooting Authentication & authorization in Cassandra Role-based access control (RBAC) Data encryption & securing clusters Common errors and troubleshooting methods Performance tuning best practices.

Module 10: Capstone Project & Certification E-commerce Recommendation Engine using Cassandra IoT Sensor Data Management at scale Real-time Analytics Dashboard (Cassandra + Spark) Final assessment & certification exam Career roadmap & interview preparation for Cassandra roles.

Industry Projects:

• E-commerce Recommendation System – Build a scalable product recommendation engine using Cassandra.
• IoT Data Management – Store and query IoT sensor data at scale.
• Real-Time Analytics Dashboard – Stream and analyze social media data with Cassandra + Spark.
• Distributed Logging System – Design a fault-tolerant log management system.

Who is this program for?

• Software Engineers working on high-scale apps.
• Data Engineers and Database Administrators.
• Cloud Engineers deploying scalable apps.
• Professionals in Big Data & AI/ML domains.
• Anyone aiming to specialize in NoSQL databases.

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com