Apache Cassandra Training

Take your career to the next level as a certified Apache Cassandra developer by acquiring all the skills through our hands-on training sessions. Tecklearn’s Apache Cassandra Certification Training is designed by professionals as per the industry requirements and demands. This Cassandra Certification Training helps you to master the concepts of Apache Cassandra including Cassandra Architecture, its features, Cassandra Data Model, and its Administration. Our Cassandra certification training course lets you master the high availability NoSQL distributed database.

Why you take Apache Cassandra Training?
Cassandra is in use at Constant Contact, CERN, Comcast, eBay, GitHub, GoDaddy, Hulu, Instagram, Intuit, Netflix, Reddit, The Weather Channel, and over 1500 more companies that have large, active data sets.
Apache Cassandra is one of the most widely used NoSQL database. It offers features such as Fault Tolerance, Scalability, Flexible Data Storage and its efficient writes, which makes it the perfect database for various purposes.
Curriculum
Introduction to Big Data, and Cassandra
• What is Big Data
• Limitations of RDBMS
• NoSQL and it’s Characteristics
• CAP Theorem
• Basic concepts of Cassandra
• Features of Cassandra
Cassandra Data model, Installation and setup
• Installation of Cassandra
• Key concepts and deployment of non-relational database, column-oriented database, Data Model – column, column family
Cassandra Architecture
• Explain the Architecture of Cassandra
• Different Layers of Cassandra Architecture
• Partitioning and Snitches
• Explain Vnodes and How Read and Write Path works
• Understand Compaction, Anti-Entropy and Tombstone
• Describe Repairs in Cassandra
Deep Dive into Cassandra Database
• Describe Different Data Types Used in Cassandra
• Explain Collection Types
• Describe What are CRUD Operations
• Implement Insert, Select, Update and D elete of various elements
• Implement Various Functions Used in Cassandra
• Describe Importance of Roles and Indexing
Backup & Restore and Performance Tuning
• Learn backup and restore functionality and its importance
• Create a snapshot using Nodetool utility
• Restore a snapshot
• Understand how to choose the right balance of the following resources: memory, CPU, disks, number of nodes, and network.
• Understand all the logs created by Cassandra
• Explain the purpose of different log files
• Configure the log files
• Learn about Performance Tuning
• Integration with Spark and Kafka
Advance Modelling
• Rules of Cassandra data modelling
• Modelling data around queries
• Creating table for data queries
Deploying the IDE for Cassandra applications
• Learning key drivers
• Deploying the IDE for Cassandra applications and cluster connection
• Data query implementation
Cassandra Administration
• Understanding Node Tool Utility
• Cluster management using Command Line Interface
• Management and Monitoring using DataStax Ops Center
Cassandra API and Summarization
• Cassandra client connectivity
• Connection pool internals
• Cassandra API
• Features and concepts of Hector client
• Thrift, JAVA code and Summarization