Cassandra training is a 16 hours long LIVE Instructor-led training delivered from January 11 - February 2, 2020 over 4 weekends, 8 sessions, 2 sessions per weekend, 2 hours per session.

Cassandra Training Overview
Cassandra training course is designed to help you master the key concepts of Apache Cassandra including Architecture, features, Data Model, and its Administration. During this Cassandra course, you will learn how to install, configure, and monitor Cassandra. You will also learn about its integration with other Apache frameworks like Hadoop, Spark, and Kafka.

Weekly Schedule

4 weekends | Saturday and Sunday every weekend
7:30 - 9:30 AM US Pacific time each day
January 11 - February 2, 2020 US Pacific time

Please check your local date and time for first session

Features and Benefits

4 weeks, 8 sessions, 16 hours of total Instructor-led LIVE training
Training material, instructor handouts and access to useful resources on the cloud provided
Practical Hands on Lab exercises provided
Actual code and scripts provided
Real-life Scenarios


What are the Objectives of the Course ?

Creating Sample Application in Cassandra
Configuring, Reading and Writing Data in Cassandra
Integrating Cassandra with Hadoop
Cassandra Data Model
Cassandra Environment
Understanding Cassandra Architecture


Who should take this course?

IT Professionals looking for a career in Cassandra
IT Developers
Testing professionals
Those looking to refresh their Cassandra skills
Analyst/Researcher
Project Managers


Course Outline 
1. What is Big Data

Technology Landscape
Big Data Relevance
Distributed Systems and Challenges

2. Why NoSQL Databases

Relational DB vs. NoSQL
Type of NoSQL Databases
NoSQL Landscape
CAP Theorem and Eventual Consistency
Key Characteristics of NoSQL Database systems
ACID vs BASE

3. Cassandra Fundamentals

Distributed and Decentralized
Elastic Scalability
High Availability and Fault Tolerance
Tuneable Consistency
Row-Oriented
Schema-Free
High Performance

4. The Cassandra Data Model

The Relational Data Model
A Simple Introduction
Clusters
Keyspaces
Hands-on Session

5. Installation and Setup of Cassandra

Single Node Setup
Multi-Node Cluster Setup
Key Configurations for Cassandra
CLI and Hands-On with Cassandra

6. Cassandra Modeling

Cassandra (Column Family NoSQL DB)
Key Concepts – Key Space – Column Family – Column Family Options – Wide Rows, Skinny Row – Column Sorting – Super Columns – Counter Column Family – Composite Keys and Columns – Time To Live –
Secondary Indexes in Cassandra
Difference between Custom Indexes and Secondary Indexes
Difference between Relational Modeling and Cassandra Modeling
Key Points to note while modeling a Cassandra Database
Patterns and Anit-Patterns in Cassandra Modeling

7. Cassandra Architecture & Intro to CQL

Anatomy of Reading operation in Cassandra
Anatomy of the Write operation in Cassandra
How is Deletes handled in Cassandra
System Keyspace
Peer to Peer Model Logical Data Model: Keyspace, Column Family/Table, Rows, Columns
Traditional Ring design vs. VNodes
Partitioners: Murmer3, Random (md5) and ByteOrdered
Gossip and Failure Detection
Anti-Entropy and Read Repair
Memtables, SSTables and Commit Log
Compaction fundamentals to reduce SSTable data files
Hinted Handoff
Compaction
Bloom Filters, Tombstones
Managers and Services
VNodes
Indexes and Caches
Coordinator node
Seed nodes
Write/Read consistency levels: Any, One, Two, Three, Quorum
Snitches: Dynamic snitching, Simple Snitch, Rack Inferring Snitch, Property File Snitch, Gossiping Property File Snitch
Routing Client requests
Nodetool commands: gossipinfo, cfstats, describing
YAML file fundamentals
Operations management web GUI
Stress testing Cassandra
CQL command fundamentals

8. Cassandra API

Key concepts for Reading and Write in Cassandra
Tunable Consistency
Simple-Get, Multi-get Slice
Range and Slice
Slice Predicate
Delete
Hands-on CLI commands

9. Cassandra CQSHL

SQL over Cassandra
Composite Keys
Hands-on examples on CQL 3.0

10. Cassandra Clients

How to establish Client Connections
Thrift Client
Connection Pooling
Auto-discovery and Failover in Hector
Client with CQL

11. Cassandra Monitoring and Administration

Tuning Cassandra
Backup and Recovery methods
Balancing
Bootstrapping
Node Tools Commands
Upgrades
Monitoring critical metrics
Bulk Loading Data to Cassandra
Bulk Export of Data from Cassandra
Hands-on Examples for each of them

12. Cassandra Analytics and Search Clusters

Cassandra Hadoop Integration
Integration of Solr with Cassandra
Search Query on Cassandra

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