Tuesday, 29 November 2016

Cassandra Online Training

CASSANDRA ONLINE TRAINING @ VIVANTA IT LABS
Cassandra online training course designed to make you an expert in using Apache Cassandra and learn all that is required to maintain database management system.
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 online training offers robust support for clusters spanning multiple data centers, with asynchronous master, less replication allowing low latency operations for all clients. Cassandra achieves the highest throughput for the maximum number of nodes in all experiments. Cassandra’s data model is a partitioned row store with tunable consistency. Cassandra introduces CQL (Cassandra Query Language). Linear scalability and proven fault-tolerance on COMMODITY hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra’s support for replicating across multiple data centers.
CASSANDRA ONLINE TRAINING OVERVIEW
Starting from installing Cassandra and creating your first keyspace, to mastering the different table structures Cassandra offers and exploring the latest and most powerful features of the Cassandra Query Language, CQL3, this Cassandra Online Training explores each topic through the lens of a real-world example application. With plenty of examples, tips, and clear explanations, you’ll master compound primary keys, collection columns, lightweight transactions, and many other advanced aspects of Cassandra.
By the end of the Cassandra Online training, you’ll be fully equipped to build powerful, scalable Cassandra database layers for your applications.

What you will learn?

  • Install Cassandra and create your first keyspace
  • Choose the right table structure for the task at hand in a variety of scenarios
  • Use range slice queries for efficient data access
  • Effortlessly handle concurrent updates with collection columns
  • Ensure data integrity with lightweight transactions and logged batches
  • Understand eventual consistency and use the right consistency level for your situation
  • Implement best practices for data modeling and access

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, Explain what are the various NoSQL databases, various Cassandra features, Explain 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,Explain how Cassandra accomplishes some of its basic notable aspects, such as durability and high availability. Understand 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 and they are many more topics that covers in this module.
  • 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.

CQL

  • 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 Cassandra 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.


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