Cassandra Training

Cassandra Training Overview

Apache Cassandra is an open source second-generation distributed database released by Facebook. The write-optimized and shared-nothing architecture results in excellent performance and scalability. The master class ring design of Apache Cassandra makes it elegant, easy setup and maintenance. Cassandra used to provide a simple solution for complex problems like Metrics and Logging. Cassandra is the small footprint of Major or Primary Database so easy to learn. Cassandra used to handles a large amount of data and operate massive data. This Cassandra Training will provide you extensive knowledge of Cassandra concepts, high-scalable data models and the Cassandra architecture which will enable you to build applications for big data.

Objectives of the Course

• Creating Sample Application in Cassandra
• Configuring, Reading and Writing Data in Cassandra
• Integrating Cassandra with Hadoop
• Cassandra Data Model
• Cassandra Environment
• Understanding Cassandra Architecture

Who should do the course

• Professionals looking for a career in Cassandra
• Project Managers
• IT Developers
• Testing professionals
• Graduates looking to upgrade their skills to Cassandra Databases
• Analyst/Researcher

Cassandra Course Content

What is Big Data

• Technology Landscape
• Big Data Relevance
• Distributed Systems and Challenges

Why NoSQL Databases

• Relational DB vs. NoSQL
• Type of NoSQL Databases
• NoSQL Landscape
• CAP Theorem and Eventual Consistency
• Key Characteristics of NoSQL Database systems
• ACID vs BASE

Cassandra Fundamentals

• Distributed and Decentralized
• Elastic Scalability
• High Availability and Fault Tolerance
• Tuneable Consistency
• Row-Oriented
• Schema-Free
• High Performance

The Cassandra Data Model

• The Relational Data Model
• A Simple Introduction
• Clusters
• Keyspaces
• Hands-on Session

Installation and Setup of Cassandra

• Single Node Setup
• Multi-Node Cluster Setup
• Key Configurations for Cassandra
• CLI and Hands-On with Cassandra

Cassandra Modeling

• Cassandra (Column Family NoSQL DB)
• Key Concepts – Key Space – Column Family – Column Family Options – Wide Rows, Skinny Row – Column Sorting – Super Columns – Counter Column Family – Composite Keys and Columns – Time To Live –
• Secondary Indexes in Cassandra
• Difference between Custom Indexes and Secondary Indexes
• Difference between Relational Modeling and Cassandra Modeling
• Key Points to note while modeling a Cassandra Database
• Patterns and Anit-Patterns in Cassandra Modeling

Cassandra Architecture & Intro to CQL

• Anatomy of Reading operation in Cassandra
• Anatomy of the Write operation in Cassandra
• How is Deletes handled in Cassandra
• System Keyspace
• Peer to Peer Model Logical Data Model: Keyspace, Column Family/Table, Rows, Columns
• Traditional Ring design vs. VNodes
• Partitioners: Murmer3, Random (md5) and ByteOrdered
• Gossip and Failure Detection
• Anti-Entropy and Read Repair
• Memtables, SSTables and Commit Log
• Compaction fundamentals to reduce SSTable data files
• Hinted Handoff
• Compaction
• Bloom Filters, Tombstones
• Managers and Services
• VNodes
• Indexes and Caches
• Coordinator node
• Seed nodes
• Write/Read consistency levels: Any, One, Two, Three, Quorum
• Snitches: Dynamic snitching, Simple Snitch, Rack Inferring Snitch, Property File Snitch, Gossiping Property File Snitch
• Routing Client requests
• Nodetool commands: gossipinfo, cfstats, describing
• YAML file fundamentals
• Operations management web GUI
• Stress testing Cassandra
• CQL command fundamentals

Cassandra API

• Key concepts for Reading and Write in Cassandra
• Tunable Consistency
• Simple Get, Multi-get Slice
• Range and Slice
• Slice Predicate
• Delete
• Hands-on CLI commands

Cassandra CQSHL

• SQL over Cassandra
• Composite Keys
• Hands-on examples on CQL 3.0

Cassandra Clients

• How to establish Client Connections
• Thrift Client
• Connection Pooling
• Auto-discovery and Failover in Hector
• Client with CQL

Cassandra Monitoring and Administration

• Tuning Cassandra
• Backup and Recovery methods
• Balancing
• Bootstrapping
• Node Tools Commands
• Upgrades
• Monitoring critical metrics
• Bulk Loading Data to Cassandra
• Bulk Export of Data from Cassandra
• Hands-on Examples for each of them

Cassandra Analytics Cluster

• Cassandra Hadoop Integration

Cassandra Search Cluster

• Integration of Solr with Cassandra
• Search Query on Cassandra