Master Apache Cassandra: Complete Certification Course for Scalable NoSQL Databases
Apache Cassandra is a leading open-source NoSQL database system that excels in handling large
volumes of data across multiple commodity servers, ensuring high availability with no single point of
failure. It is used by some of the world's most popular applications, from social media platforms to
IoT systems, for handling massive datasets in real-time with low latency.
ENCODE-IT's Apache Cassandra Certification Course is designed to help you master this powerful
database technology, giving you the skills needed to deploy, manage, and optimize Cassandra
clusters. Whether you are a developer, database administrator, or aspiring data engineer, this
course will provide you with a deep understanding of Cassandra's architecture, data model, and
operations.
By the end of this course, you will be able to effectively use Apache Cassandra for building and
maintaining highly scalable and performant applications. You’ll also gain hands-on experience
through practical labs and real-world use cases, making you proficient in managing large-scale data
infrastructure.
Salary Scale in India
As the demand for scalable NoSQL databases like Apache Cassandra increases, professionals skilled
in its deployment and management are in high demand. The salary for an Apache Cassandra
Database Administrator (DBA) or Cassandra Developer in India typically ranges from ₹8,00,000 to
₹15,00,000 per year at the entry-level. Experienced professionals, including Cassandra Architects
and Data Engineers, can earn between ₹15,00,000 to ₹30,00,000 annually, depending on the level of
expertise and the complexity of the systems they manage.
Placement Assistance & Certification
Upon completion of the Apache Cassandra Certification Course, you will receive an official
certification from ENCODE-IT that validates your expertise in deploying and managing Cassandra
clusters. In addition, ENCODE-IT offers placement assistance to help you secure job opportunities in
top organizations that rely on NoSQL databases for their big data and real-time applications.
Course Curriculum
1. Introduction to NoSQL Databases and Apache Cassandra
Overview of NoSQL Databases: Types and Use Cases
Why Choose Cassandra? Key Benefits and Features
Apache Cassandra’s Role in Big Data and Real-Time Analytics
Understanding Cassandra’s Architecture and Components
Use Cases for Apache Cassandra: Social Media, IoT, Real-Time Analytics
Comparison with Relational Databases (RDBMS) and Other NoSQL Databases
2. Cassandra Architecture and Data Model
The Fundamental Architecture of Apache Cassandra
Nodes, Clusters, and Data Centers in Cassandra
Understanding the Role of Consistency, Partitioning, and Replication
The Cassandra Data Model: Keyspaces, Tables, and Rows
Understanding Cassandra's Primary Key and Composite Keys
Data Distribution and Replication in Cassandra
Write Path and Read Path in Cassandra
The Role of Gossip and Snitches in Cassandra Clusters
3. Installing and Configuring Apache Cassandra
Setting Up Apache Cassandra on Local Machines and Cloud Servers
Installing Cassandra on Linux, Windows, and MacOS
Cassandra Cluster Setup: Multi-Node Cluster Configuration
Configuring Cassandra.yaml: Tuning and Optimization Parameters
Configuring Seed Nodes, Data Centers, and Virtual Nodes (vnodes)
Configuring Cassandra’s Storage: SSTables and Memtables
Securing Cassandra with Authentication and Encryption
4. Cassandra Query Language (CQL)
Introduction to Cassandra Query Language (CQL)
Differences Between SQL and CQL
Creating and Managing Keyspaces and Tables in Cassandra
Inserting, Updating, and Deleting Data with CQL
CQL SELECT Queries: Filtering, Sorting, and Limiting Results
CQL Data Types: Working with Strings, Numbers, Dates, and Collections
Using CQL for Schema Design and Best Practices
Secondary Indexes in Cassandra: Pros and Cons
5. Managing Data in Cassandra
Inserting, Updating, and Deleting Data in Cassandra
Cassandra’s Write and Read Consistency Levels
Partitioning Data for High Availability and Performance
Understanding the Cassandra Memtable, SSTable, and Commit Log
Managing Data with Compaction: Different Compaction Strategies
Handling Tombstones in Cassandra (Deletes)
Managing Data Consistency and Resolving Conflicts
Data Compression Techniques in Cassandra
6. Cassandra Clustering and Replication
Cassandra’s Consistency Model: Consistency Levels and Tunable Parameters
Understanding Cassandra’s Replication Factor and Strategies
Managing Cassandra Clusters: Adding and Removing Nodes
Handling Cluster Failures: Repairing and Rebuilding Data
Using Hinted Handoff for Improved Data Consistency
Cassandra's Virtual Nodes (vnodes) and Data Distribution
Managing Multi-Data Center and Multi-Region Deployments
Troubleshooting Cassandra Clustering Issues
7. Performance Tuning and Optimization
Identifying and Resolving Performance Bottlenecks in Cassandra
Performance Tuning for Write and Read Latency
Optimizing Cassandra Cluster’s I/O Performance
Tuning Cassandra for Better CPU and Memory Utilization
Data Compression and Compaction Strategies for Performance
Caching and Caching Strategies in Cassandra
Using Cassandra Metrics for Performance Monitoring
Best Practices for Backup and Recovery in Cassandra
8. Advanced Features of Cassandra
Cassandra’s Built-in Secondary Indexes vs. Materialized Views
Using Batch Operations and Best Practices
Integrating Cassandra with Apache Spark for Big Data Processing
Real-Time Data Stream Processing with Apache Kafka and Cassandra
Implementing Distributed Transactions with Cassandra
Using Apache Cassandra for Event Sourcing
Cassandra and Machine Learning: Integration with TensorFlow and PyTorch
Monitoring and Managing Cassandra with Apache Zookeeper
9. Security and Maintenance in Cassandra
Implementing Role-Based Access Control (RBAC) in Cassandra
Data Encryption: In-Transit and At-Rest Encryption in Cassandra
Secure Cassandra Cluster Communication
Monitoring and Logging Cassandra with Prometheus and Grafana
Setting Up Alerts for Cassandra Cluster Health Monitoring
Periodic Maintenance: Upgrades, Repairs, and Patches
Troubleshooting Common Cassandra Issues
Data Consistency and Conflict Resolution in Distributed Systems
10. Real-World Use Cases and Case Studies
Real-World Case Study: Managing Large Scale Data in IoT Systems
Handling Real-Time Analytics in Social Media Applications
Using Cassandra for E-Commerce and Inventory Management Systems
Case Study: Implementing Event Sourcing with Cassandra
Deploying Cassandra in Financial Applications and High-Volume Transactions
Hands-On Project: Building and Deploying a Real-Time Analytics Application with Cassandra
11. Final Project and Certification Exam
Final Project: Deploying and Managing a Scalable Cassandra Cluster
Hands-On Project: Designing, Implementing, and Optimizing a Cassandra Data Solution
Certification Exam: Assessing Your Knowledge of Cassandra Architecture, Management, and
Optimization
Certification of Completion from ENCODE-IT and Placement Assistance
Key Features
Tools & Platforms: Apache Cassandra, CQL, Apache Zookeeper, Prometheus, Grafana,
Apache Spark
Real-World Projects: Practical experience in setting up, managing, and optimizing Cassandra
clusters for big data applications
Certification & Placement Support: Apache Cassandra certification and job placement
assistance
Expert Instructors: Learn from experienced professionals with deep expertise in NoSQL
database technologies
Career Advancement: Master skills needed for high-demand roles such as Database
Administrator, Data Engineer, and Cassandra Architect
Why Choose ENCODE-IT for Apache Cassandra Certification?
ENCODE-IT’s Apache Cassandra Certification Course provides comprehensive, hands-on training in
NoSQL database management. From understanding its architecture to optimizing cluster
performance, this course prepares you to take on real-world challenges in big data and distributed
systems. Upon completion, you will have the expertise to manage Apache Cassandra clusters at scale
and build scalable, high-performance data-driven applications.
