Apache Cassandra Training

A general overview of the subjects that might be covered in a course, as well as an introduction to Apache Cassandra. A distributed database management system called Apache Cassandra is open-source and made to handle massive volumes of data across several commodity servers while also offering high availability and scalability.

It is renowned for its capacity to execute at low latency while handling huge data demands. The Apache Cassandra certification is a sign of your proficiency and expertise with the widely used and extremely scalable NoSQL database Apache Cassandra.

The Apache Cassandra training program is a comprehensive learning experience designed to equip individuals with the knowledge and skills needed to effectively work with Apache Cassandra, a powerful and scalable distributed database management system. This training program provides a structured approach to understanding the fundamental concepts, architecture, and best practices associated with Cassandra.

The Benefits of Using the Apache Cassandra:

• Scalability: Cassandra is designed to scale horizontally, allowing you to handle large amounts of data across multiple commodity servers with linear performance growth.
• High Availability: Cassandra provides built-in replication and fault-tolerance mechanisms, ensuring that your data remains accessible even in the event of node failures or network issues.
• Performance: Cassandra offers low-latency performance, making it suitable for real-time applications and workloads that require fast data retrieval.
• Flexibility: With its flexible data model, Cassandra allows you to handle structured, semi-structured, and unstructured data, enabling versatility in data storage and retrieval.
• Durability: Data in Cassandra is automatically replicated across multiple nodes, providing durability and data integrity.
• Easy to Manage: Cassandra provides administrative tools and features, such as automatic repair, simplified administration, and simplified data distribution, making it relatively easy to manage.
• Wide Adoption: Cassandra has gained widespread adoption and has strong community support, with numerous resources, documentation, and libraries available.
• Integration: Cassandra integrates with various tools and frameworks, such as Apache Spark, Hadoop, and Elasticsearch, allowing you to build comprehensive data processing and analytics solutions.
• Cost-Effective: Cassandra's ability to run on commodity hardware and its open-source nature makes it a cost-effective solution compared to traditional databases.
• Time-Series Data Handling: Cassandra's columnar storage and distributed architecture make it well-suited for handling time-series data, which is common in applications like IoT, financial systems, and log analytics.

Syllabus:

• Module 1 : Introduction to big data and No-SQL Databases
• 3Vs of big data
• Data evolution and characteristics of big data
• Industry Examples
• Apache Hadoop - HDFS and Mapreduce
• Brewer’s CAP principle
• Types of NoSQL database databases
• Module 2 : Introduction to Cassandra
• Introducing Cassandra
• Cassandra Origin
• Main features of Cassandra
• Cassandra Example and Command line interface
• Cassandra Advantages and limitations
• PuTTY
• WinSCP
• Demo: Installing Ubuntu VM and connecting with Putty
• Module 3 : Architecture of Cassandra
• Cassandra Architecture
• Cassandra write process
• Cassandra read process
• Data partitions and replication
• Network topology and snitches
• Gossip protocol and seed nodes
• Virtual nodes and token generator
• Failure scenarios
• Module 4 : Installation and Configuration of Cassandra
• Cassandra versions
• Preparation for installation
• Installation of Cassandra
• Configuration of Cassandra
• Installing on CentOS
• Demo: Installing and configuring Cassandra
• Module 5 : Cassandra Data Model
• Keyspaces, tables and columns
• Cassandra DDL: CREATE TABLE, ALTER TABLE, DROP TABLE
• Cassandra DML: INSERT, UPDATE, SELECT, DELETE
• SELECT statements restrictions
• Demo 1 - Data Definition and Data Manipulation Statements
• Demo 2 - Create a Table with Composite Key
• Demo 3 - Collection Columns in Cassandra
• Module 6 : Cassandra Interfaces
• Cassandra Command Line Interface
• CQLSH options
• Java interfaces
• Compiling a Java Program for Cassandra
• ODBC interface
• Module 7 : Advanced Architecture and Cluster Management
• Partitions
• Replication strategy
• Consistency
• Monitoring and Administration tools
• Module 8 : Hadoop Ecosystem around Cassandra
• Apache Storm, Storm Architecture, Data Model, and Topology
• Apache Kafka, Kafka Architecture, Data Model
• Real -time analysis platform
• Apache Spark, Spark Architecture
• Spark and Scala