The evolution of Big Data is changing the landscape of big businesses. While this raw data is difficult to harness, new technology such as NoSQL databases are providing a perfect solution for storage and retrieval of data. Among the leadingNoSQL technologies is Apache Cassandra, the open source distributed database management system that can handle huge amounts of data across many commodity servers.Zeolearn’s course teaches you all about the fundamentals of Cassandra, progressing from the basics to the more advanced concepts. You will learn Cassandra Datamodels, Cassandra Architecture, about how to configure, read and write data and integrating it with Hadoop. Knowledge of this new-age technology is just what you need to have a successful career and our course will help you excel it!

Here’s what you will learn!

  • How and where to use Cassandra and the core concepts that drive this database.
  • Learn how to use the fault tolerant and high availability feature of Cassandra.
  • Understand the Apache Cassandra architecture and the more complex inner workings such as gossip protocol, read repairs and Merkle trees.
  • How to identify requirements and create a Cassandra data model by applying data modelling techniques.
  • How to integrate Cassandra with Hadoop and use tools like Pig and Hive.

Is this course right for you?

Engineers working with large volume websites, or those who are expected to design fault tolerant data base systems and students and individuals who wish to learn more about Cassandra will find this course beneficial.

What do you need to be familiar with?

  • Basic knowledge of Linux command line
  • Basic knowledge of Java
  • Basic knowledge of database or data-warehouse concepts

Course Curriculum

Introduction to Cassandra
Differences between NoSQL and RDBMS 00:00:00
Replication in RDBMS 00:00:00
Key Challenges with RDBMS 00:00:00
Schema 00:00:00
Advantage & Limitation 00:00:00
Key Characteristics of No SQL Data Base 00:00:00
Advantages of Cassandra 00:00:00
Where and when to use it? 00:00:00
Brewers CAP Theorem 00:00:00
Cassandra Key Features 00:00:00
Distributed and Decentralised 00:00:00
Elastic Scalability 00:00:00
High Availability and Fault Tolerance 00:00:00
Tuneable Consistency 00:00:00
Strict Consistency 00:00:00
Casual Consistency 00:00:00
Weak (Eventual Consistency) 00:00:00
Column Orientation 00:00:00
Column Orientation 00:00:00
USE Cases for Cassandra 00:00:00
Cassandra Installation 00:00:00
Cassandra Data Model
Installation 00:00:00
Running the Command-Line Client Interface 00:00:00
Basic CLI Commands, Help 00:00:00
Connecting to a Server, Describing the Environment 00:00:00
Creating and Keyspace and Column Family 00:00:00
Writing and Reading Data 00:00:00
The Relational Data Model 00:00:00
Cluster 00:00:00
Keyspaces 00:00:00
What is Column oriented database 00:00:00
Column Families 00:00:00
Column Family Options 00:00:00
Columns 00:00:00
Wide Rows 00:00:00
Skinny Rows 00:00:00
Column Sorting 00:00:00
Super Columns 00:00:00
Composite Keys 00:00:00
Design Differences between RDBMS and CASSANDRA 00:00:00
Query Language 00:00:00
Referential Integrity 00:00:00
Secondary Indexes 00:00:00
Sorting, DeNormalisation 00:00:00
Design Patterns 00:00:00
Materialized Views 00:00:00
Steps in Configuration
Token calculation 00:00:00
Configuration overview 00:00:00
Node tool 00:00:00
Validators 00:00:00
Comparators 00:00:00
Expiring column 00:00:00
Cassandra Architecture
System Keyspace 00:00:00
Peer-To-Peer 00:00:00
Gossip and Failure Detection 00:00:00
Anti-Entropy and Read Repair 00:00:00
Memtables 00:00:00
SSTables 00:00:00
Commit Logs 00:00:00
Hinted Handoff 00:00:00
Compaction 00:00:00
Bloom Filters 00:00:00
Tombstones 00:00:00
Staged Event-Driven Architecture (SEDA) 00:00:00
Read, Mutation 00:00:00
Gossip 00:00:00
Response 00:00:00
Anti-Entropy 00:00:00
Load Balance 00:00:00
Migration 00:00:00
Streaming 00:00:00
Managers and Services 00:00:00
Casssandra Daemon 00:00:00
Storage Service 00:00:00
Messaging Service 00:00:00
Hinted Handoff Manager 00:00:00
Indexing in Cassandra
Primary 00:00:00
Secondary 00:00:00
Custom 00:00:00
Planning Your Data Model
Planning Your Data Model 00:00:00
Cassandra Client API's
Cassandra Client APIs 00:00:00
CQL 00:00:00
CLI 00:00:00
Planning your Cassandra Cluster
Planning your Cassandra Cluster 00:00:00
Cassandra Installation
Cassandra Installation 00:00:00
Cassandra Configurations
Cassandra Configurations 00:00:00
Monitoring Cassandra
Monitoring Cassandra 00:00:00
Backup 00:00:00
Recovery 00:00:00
Cassandra Security
Authentication 00:00:00
Authorization 00:00:00
Physical Security 00:00:00
Integrating Cassandra with Hadoop
Hadoop 00:00:00
MapReduce 00:00:00
Cassandra Hadoop Source Package 00:00:00
Outputting Data to Cassandra 00:00:00
HIVE 00:00:00
PIG 00:00:00
Use Cases 00:00:00

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Since its invention in the labs of Facebook, Cassandra has been widely implemented by organizations that require a distributed database with elastic scalability and can handle huge amounts of data. Becoming hands-on with this technology will help engineers, database architects and even students embark on a bright career in organizations that require large-scale, high-volume websites.Our course on Cassandra uses an in-depth courseware and hands-on, practice exercises to familiarize you with the various concepts of the architecture and the operational side of this database.

Towards the end of the course, all participants will be required to work on a project to get hands on familiarity with the concepts learnt. You will build a Cassandra application, with full support from your mentors. This project, which can also be a live industry project, will be reviewed by our instructors and industry experts. On successful completion, you will be awarded a certificate.

Classes are held on weekdays and weekends. You can check available schedules and choose the batch timings which are convenient for you.

You may be required to put in 10 to 12 hours of effort every week, including the live class, self study and assignments.

Don’t worry, you can always access your class recording or opt to attend the missed session again in any other live batch.



Refund Policy

Refunds for Classroom/Virtual Courses

We welcome you to the Zeolearn learning fraternity! We always strive to maintain the highest standards of quality, so that your learning experience with us is above reproach. However, if for any reason your expectations are not met, please note our Cancellations and Refund policy which is as follows:


In case you are unable to attend the course and want a refund prior to the course commencement date, we will be happy to give you back the full amount.


If you want to discontinue within the first two sessions, we will still proceed with the 100% refund, absolutely no questions asked!


However, once you have completed 50% of the training, you will not be eligible for any refund. If for any reason you are unable to continue the course after having completed 50% of the training, we would be happy to accommodate you in a different batch of the same course, at no cost.
Note: All refunds will be credited back to your account within 10-15 business days of the refund request.

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