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 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 datacenters.
MindMajix
is pleased to announce the Apache
Cassandra online training course
designed to upgrade your skills in Database Management System using a Platform.
Explain how to choose the correct use cases for Cassandra, Deep dive into the
critical architecture paths of Cassandra: BLOOM filters, Block Indexes,
SSTables, etc with hands-on by real-time experts.
Course
Curriculum
Unit 1:
Getting Started with Cassandra
Topics -Quick
Review of RDBMS: 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.
Unit 2:
Understanding Cassandra Data Model
Topics -Installing
Cassandra, Running the Command-Line Client Interface, Basic CLI Commands, Help,
Connecting to a Server, Describing the Environment, Creating and Keyspace and
Column Family, Writing and Reading Data, The Relational Data Model, Simple
Introduction, Cluster, Keyspaces, Column Families, Column Family Options,
Columns, Wide Rows, Skinny Rows, Column Sorting, Super Columns, Composite Keys,
Design Differences between RDBMS and CASSANDRA, Query Language, Referential
Integrity, Secondary Indexes, Sorting, DeNormalisation, Design Patterns,
Materialized Views.
Unit 3:
Understanding Cassandra Architecture
Topics -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), Read, Mutation,
Gossip, Response, Anti-Entropy, Load Balance, Migration, Streaming, Managers
and Services, Casssandra Daemon, Storage Service, Messaging Service, Hinted
Handoff Manager.
Unit 4:
Creating Sample Application
Topics -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.
Unit 5:
Configuring, Reading and Writing Data in Cassandra
Topics -Keyspaces,
Replicas, Replica Placement Strategy, Replication Factor, Partitioner,
Snitches, Creating Clusters, Dynamic Ring Participation, Security,
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 Keyspaces and Column Families.
Unit 6:
Integrating Cassandra with Hadoop
Topics -Hadoop,
MapReduce, Cassandra Hadoop Source Package, Outputting Data to Cassandra, PIG,
HIVE, Use Cases.
Unit 7:
CQL
Topics -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.
Unit 8:
Clients and Live Project
Topics -Basic
Client API, Thrift, Thrift Support for Java, Exceptions, Thrift Summary,
Cassandra Web Console, Hector (Java), Features, Hector API, Live Project.
To Learn
More Click On Below Link:
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