The Course starts with basic Cassandra Concepts and follow it up with CQL and finally teaches you to build a real application using Cassandra and NodeJs. The following sections are covered in the course:

Cassandra Overview

Cassandra Data Model

Internal Working

Hadoop

Cassandra Installation

Linux

Windows

Cassandra Query Language

Tables and Queries in Cassandra

Crud operations in Cassandra

Project Building in Cassandra

Build a Simple Twitter Clone application using Cassandra and Nodejs

This course is designed to familiarize you with Cassandra’s resilient, distributed architecture while equipping you with a thorough understanding of the Cassandra Query Language (CQL).

In this course, you will learn about:

the brief history of Cassandra.

how to use Docker to stand-up a Cassandra cluster.

replication strategies and Cassandra’s support for “tunable consistency.”

You will learn about the brief history of Cassandra and how to use Docker to stand-up a Cassandra cluster. First, you will discover replication strategies and Cassandra’s support for “tunable consistency.”

Then, you will be introduced to CQL along with tables, keyspaces, and common datatypes. Next, you will explore primary keys and how they can be made up of both partition keys as well as clustering keys.

Finally, you will look at secondary indexes, batches, and lightweight transactions.

When you are finished with this course, you will have the skills and knowledge of storing time series data in Cassandra, such as sets, lists, maps, tuples, and user defined types.

Taught by a team which includes 2 Stanford-educated, ex-Googlers and 2 ex-Flipkart Lead Analysts. This team has decades of practical experience in working with large-scale data processing.

Huge, unwieldy data: This course helps your set up a cluster with multiple nodes to distribute data across machines

Unstructured: Cassandra is a columnar store. There are no empty cells or space wasted when you store data with variable and expanding attributes

Always available: Cassandra uses partitioning and replication to ensure that your data is available even when nodes in a cluster go down

What’s included in this course:

The Cassandra Cluster Manager (CCM) to set up and manage your cluster

The Cassandra Query Language (CQL) to create keyspaces, column families, perform CRUD operations on column families and other administrative tasks

Designing primary keys and secondary indexes, partitioning and clustering keys

Restrictions on queries based on primary and secondary key design

Tunable consistency using quorum and local quorum. Read and write consistency in a node

Architecture and Storage components: Commit Log, MemTable, SSTables, Bloom Filters, Index File, Summary File and Data File

A real world project: A Miniature Catalog Management System using the Cassandra Java driver

Cassandra is the high performance open source distributed database system. It showed the highest growth rate among new database systems and is poised for huge growth. Our course aims to provide you with everything you will need to get started with Cassandra DB. The Course starts with basic Cassandra Concepts and follow it up with CQL and finally teaches you to build a real application using Cassandra and NodeJs. The following sections are covered in the course

Cassandra Overview

Cassandra Data Model

Internal Working

Hadoop

Cassandra Installation

Linux

Windows

Cassandra Query Language

Tables and Queries in Cassandra

Crud operations in Cassandra

Project Building in Cassandra

Build a Simple Twitter Clone application using Cassandra and Nodejs

The course includes presentation files, source code and video training materials and follows an easy to assimilate pedagogy with practical focus to teach you all the tips of the trade.

This video course provides you with the necessary know-how to effectively administrate and perform operations in Cassandra. You will also get to know, from an architecture perspective, how Cassandra differs from traditional databases and other popular NoSQL databases.

The course starts off by showing you the steps to build your own cluster, and introduces you to the different use cases for Cassandra. Along the way, you will encounter caveats based on scenarios that may not be a good fit. After learning how to install Cassandra, you will learn how to use different monitoring tools and methods to import and export large amount of data. Next, primary and secondary indexes are explained to help you select the appropriate indexing that enables fast and efficient data lookup to respond to search and retrieval requests. Finally, you will use various tools to facilitate performance tuning, and conduct a stress test on a cluster, and interpret the performance results.

By the end of this course, you will have developed the required skills to install and set up any Cassandra cluster, along with administrating and managing daily operations easily.

This Cassandra and HBase course is for Testing profile users who wanted to learn big data.

This course is targeting the Testing profile uses who are willing to make his/her career in big data testing.

I have included all the possible materials which is needed by the tester to start with Cassandra and HBase tool i.e. from installation to write different queries in this.

After watching video user should be able to install, create queries in Cassandra and HBase tool.

This tutorial can be really helpful for the beginner who has started learning Cassandra and HBase tool for working.

The complete course would guide you through the complete Cassandra and HBase Testing with examples.