Cassandra Training course teaches you ways maintain database management system. Cassandra database is the right choice when you need scalability and high availability without compromising performance. Hence, our training teaches you all the necessary aspects of Cassandra.
Cassandra Training Curriculum
Getting Started with Cassandra
This module gives you a brief description on introduction of Cassandra and also explains the differences between NoSQL and RDBMS databases, what are the various NoSQL databases, various Cassandra features, explains why Cassandra scores over other NoSQL databases, Distinguish between use cases when Cassandra is a strong choice and when it is not, Understand the use cases where Cassandra is implemented.
Quick Review of RDBMS: Transactions ACIDity, Schema, Two Phase Commit Sharing and Share Nothing Architecture Feature Based Key Based Lookup Table Based NoSQL Databases Brewers CAP Theorem Cassandra Definition and Features Distributed and Decentralised Cassandra Elastic Scalability High Availability and Fault Tolerance in Cassandra Tuneable Consistency Strict Consistency Casual Consistency Weak (Eventual Consistency) Cassandra Column Orientation Schema Free High Performance USE Cases for Cassandra Cassandra Installation.
Understanding Cassandra Data Model
Run basic Cassandra commands, Understand Design differences between RDBMS and Cassandra data model. Explain how Cassandra locate data in the data cluster, Explain expiring column and Time to Live (TTL), etc..
Installing Cassandra Running the Command-Line Client Interface Basic CLI Commands Help, Connecting to a Server Describing the Cassandra Environment Creating and Key space and Column Family in Cassandra Writing and Reading Data, The Relational Data Model Simple Introduction Cluster Key spaces Column Families Column Family Options Columns and Wide Rows and Skinny Rows and Column Sorting and Super Columns Composite Keys Design Differences between RDBMS and CASSANDRA Query Language, Referential Integrity Secondary Indexes Sorting De-Normalization Design Patterns Materialized Views.
Understanding Cassandra Architecture
Overview of Cassandra Architecture follows up in Intermode communication, Explains how Cassandra accomplishes some of its basic notable aspects, such as durability and high availability. Describes more complex inner workings, such as the gossip protocol, hinted handoffs, read repairs, Merkle trees etc, Understand Staged Event-Driven Architecture (SEDA).
System Key space 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) Read Mutation Gossip Response Anti-Entropy Load Balance Migration Streaming Managers and Services Cassandra Daemon Storage Service Messaging Service Hinted Handoff Manager.
Creating Sample Application In Cassandra
This module will let you know about Creating an sample RDBMS and Cassandra Application that includes Application code, Features, Creating an Database, connection to be set for interacting to database, Understand the implications of the client side joins when writing application that access data in Cassandra.
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
This module gives you an description about How to configure read and write properties data in Cassandra, creation of clusters, Query differences between RDBMS and Cassandra etc.
Key spaces Replicas, Replica Placement Strategy, Replication Factor Partitioner Snitches Creating Clusters in Cassandra Dynamic Ring Participation Security and Miscellaneous Settings Additional Tools Query differences between RDBMS and Cassandra Basic Write Properties, Consistency Level Basic Read Properties API’s Set Up and Inserting Data Slice Predicate Get Range Slices Multiget Slice Deleting Programmatically Defining Key spaces and Column Families.
Integrating Cassandra With Hadoop
Hadoop integration with Cassandra includes the support for: Map Reduce, Apache Pig, Apache HIVE along with the use cases.
Hadoop MapReduce Cassandra Hadoop Source Package Outputting Data to Cassandra PIG, HIVE Use Cases.
This module of Cassandra covers on the DDL, DML statements along with how to create users and assign permission for them.
Data Definition language (DDL) Statements Data Manipulation Language (DML) Create and modify Users User permission Capture CQL output to a file Import and export data CQL scripts from within CQL CQL Scripts from the command prompt.
Working With Cassandra Clients And Live Project
In the last section of training, you will able to Understand what Thrift is, Cassandra web console, Demonstrate ability to implement the concepts learned during the course on a real life problem.
Basic Client API Thrift, Thrift Support for Java Exceptions Thrift Summary Cassandra Web Console Hector (Java) Features Hector API Live Project.
- 10 Days
- 0 Units
- 0 Hrs