Advance Diploma In Cassandra Training

This course is designed to upgrade your skills in Database Management System using a Platform that is at the Forefront of NoSQL innovation! . Apache Cassandra is an open source distributed database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.

Cassandra offers robust support for clusters spanning multiple datacenters, with asynchronous masterless replication allowing low latency operations for all clients.

Cassandra also places a high value on performance. In 2012, University of Toronto researchers studying NoSQL systems concluded that "In terms of scalability, there is a clear winner throughout our experiments. Cassandra achieves the highest throughput for the maximum number of nodes in all experiments" although "this comes at the price of high write and read latencies."

Who Should Do?

Bachelor Of Technology, Bachelor Of Engineering, Bachelor Of Science, Bachelor Of Computer Application, Master Of Technology, Master Of Engineering, Master Of Science, Master Of Computer Application, Post Graduate Diploma In Computer Applications.

Modules Covered In The Course:

• Getting started with Cassandra
• Transactions
• ACIDity
• Schema
• Two Phase Commit
• Sharding and Share Nothing Architecture
• Feature Based
• Key Based
• Lookup Table Based
• NoSQL Databases
• Brewers CAP Theorem
• Cassandra Definition and Features
• Distributed and Decentralised
• Elastic Scalability
• High Availability and Fault Tolerance
• Tuneable Consistency
• Strict Consistency
• Casual Consistency
• Weak (Eventual Consistency)
• Column Orientation
• Schema Free
• High Performance
• USE Cases for Cassandra
• Cassandra Installation
• UNDERSTANDING CASSANDRA DATA MODEL
• Installing Cassandra
• Running the Command-Line Client Interface
• Basic CLI Commands
• Connecting to a Server
• Describing the Environment
• Creating and Keyspace and Column Family
• Writing and Reading Data
• The Relational Data Model
• Cluster
• Keyspaces
• Column Families
• Column Family Options
• Super Columns
• Design Differences between RDBMS and CASSANDRA
• Query Language
• Referential Integrity
• Secondary Indexes
• Sorting
• DeNormalisation
• Design Patterns
• Materialized Views
• UNDERSTANDING CASSANDRA ARCHITECTURE
• System Keyspace
• Peer-To-Peer
• Gossip and Failure Detection
• Anti-Entropy and Read Repair
• Memtables, SSTables and Commit Logs
• Hinted Handoff
• Compaction
• Bloom Filters
• Tombstones
• Staged Event-Driven Architecture (SEDA)
• Mutation
• Gossip
• Response
• Anti-Entropy
• Load Balance
• Migration
• Streaming
• Managers and Services
• Casssandra Daemon
• Storage Service
• Messaging Service
• Hinted Handoff Manager
• CREATING SAMPLE APPLICATION
• Database Design
• Sample Application RDBMS Design
• Sample Application Cassandra Design
• Application Code
• Creating Database
• Loading Schema
• Data Structures
• Setting Connections
• Population of database
• Application Features
• CONFIGURING , READING AND WRITING DATA IN CASSANDRA
• Keyspaces, Replicas
• Replica Placement Strategy
• Replication Factor
• Partitioner
• Snitches
• Creating Clusters
• Dynamic Ring Participation
• Miscellaneous Settings
• Query differences between RDBMS and Cassandra
• Basic Write Properties
• API's, Set Up and Inserting Data
• Slice Predicate
• Get Range Slices
• Multiget Slice
• Programmatically Defining Keyspaces and Column Families
• INTEGRATING CASSANDRA WITH HADOOP
• Hadoop
• MapReduce
• Cassandra Hadoop Source Package
• Outputting Data to Cassandra
• PIG
• HIVE
• Use Cases
• And more.