No-sql Cassandra Hbase MongoDB Couchbase Training

Significance of NoSQL, RDBMS Replication, Key Challenges, types of NoSQL, benefits and drawbacks, salient features of NoSQL database. CAP Theorem, Consistency.

Installation, introduction to Cassandra, key concepts and deployment of non relational database, column-oriented database, Data Model – column, column family,

Token calculation, Configuration overview, Node tool, Validators, Comparators, Expiring column, QA

How Cassandra modelling varies from Relational database modelling, Cassandra modelling steps, introduction to Time Series modelling, comparing Column family Vs. Super Column family, Counter column family, Partitioners, Partitioners strategies, Replication, Gossip protocols, Read operation, Consistency, Comparison

Creation of multi node cluster, node settings, Key and Row cache, System Key space, understanding of Read Operation, Cassandra Commands overview, VNodes, Column family

JSON, Hector client, AVRO, Thrift, JAVA code writing method, Hector tag

Cassandra management, commands of node tool, MapReduce and Cassandra, Secondary index, Datastax Installation

Rules of Cassandra data modelling, increasing data writes, duplication, and reducing data reads, modelling data around queries, creating table for data queries

Understanding the Java application creation methodology, learning key drivers, deploying the IDE for Cassandra applications,cluster connection and data query implementation

Learning about Node Tool Utility, cluster management using Command Line Interface, Cassandra management and monitoring via DataStax Ops Center.

Cassandra client connectivity, connection pool internals, API, important features and concepts of Hector client, Thrift, JAVA code, Summarization.

Getting started with HBase, Core concepts of HBase, Understanding HBase with an Example

Why HBase?, Where to use HBase?, What is NoSQL?

HDFS vs.HBase, HBase Use Cases, Data Modeling HBase

HBase Architecture, Main components of HBase Cluster

HBase Shell, HBase API, Primary Operations, Advanced Operations

Create a Table and Insert Data into it, Integration of Hive with HBase, Load Utility

Putting Folder to VM, File loading with both load Utility

RDBMS, types of relational databases, challenges of RDBMS, NoSQL database, its significance, how NoSQL suits Big Data needs, Introduction to MongoDB and its advantages, MongoDB installation, JSON features, data types and examples.

Installing MongoDB, basic MongoDB commands and operations, MongoChef (MongoGUI) Installation, MongoDB Data types.

The need for NoSQL, types of NoSQL databases, OLTP, OLAP, limitations of RDBMS, ACID properties, CAP Theorem, Base property, learning about JSON/BSON, database collection & document, MongoDB uses, MongoDB Write Concern – Acknowledged, Replica Acknowledged, Unacknowledged, Journaled, Fsync.

Understanding CRUD and its functionality, CRUD concepts, MongoDB Query & Syntax, read and write queries and query optimization.

Concepts of data modeling, difference between MongoDB and RDBMS modeling, Model tree structure, operational strategies, monitoring and backup.

In this module you will learn MongoDB® Administration activities such as Health Check, Backup, Recovery, database sharding and profiling, Data Import/Export, Performance tuning etc.

Concepts of data aggregation and types, data indexing concepts, properties and variations.

Understanding database security risks, MongoDB security concept and security approach, MongoDB integration with Java and Robomongo.

Implementing techniques to work with variety of unstructured data like images, videos, log data, and others, understanding GridFS MongoDB file system for storing data.

The Architecture of Couchbase, understanding Couchbase distributed NoSQL database engine, vBuckets for information distribution on Couchbase cluster, user and system requirements, Couchbase downloading and installation.

Couchbase single node deployment for development purpose

Managing the Couchbase environment with the Web Console tool, configuring the Couchbase server and management, working with Couchbase data buckets, default bucket sizing, and administration.

Methods for deploying Couchbase in multi node cluster – all Couchbase Servers on one machine and second with each Couchbase Server on own machine.

The Couchbase Command-line Interface tools for managing and monitoring single node and multi node clusters, Severs and vBuckets, developing Reports for log data collection.