Learning Apache Cassandra [Video]

More Information
Learn
  • Scale up the relational databases and how no SQL databases like Cassandra overcome them
  • Understand the architecture of Apache Cassandra and how the data are stored
  • Use the different components of Cassandra; the read path, write path, fault tolerance, replication, consistency model, anti-entropy model as per what your application needs
  • Start a Cassandra multi-node cluster and understand the role of each critical piece of the distributed system and their interplay
  • Learn the principles and methodologies for data modelling in Cassandra
  • Integrate the database with your application
  • Migrate existing data from relational databases
  • Learn how to process live streaming data with Spark and persist the data on to Cassandra for consumption through a downstream system
About

Cassandra is a NoSQL database with decentralized, fault-tolerant, scalable, and low-cost features, making it a core component of cloud computing systems. The more recent versions have greatly improved the security features, making it suitable for use in enterprise systems.

In this tutorial, you’ll see how Cassandra overcomes the challenges that relational databases face during high scalability demand. You will become familiar with the Cassandra terminologies, components, and their roles. Then you will learn how to create a multi-node Cassandra structure, understand the roles and responsibilities of Cassandra components, and see the data flow during database operations that demand speed, accuracy, and durability.

You will then see how Cassandra stores data onto files on the disk, how to optimize those files to improve performance, and how to monitor the Cassandra database performance using logs and metrics.

We’ll demonstrate the factors that could affect the performance SLAs of the Cassandra database. Next, you will learn how to optimize the data model to provide performance guarantees and consistent performance SLA over time. You’ll also learn how to build the data model on Cassandra and integrate the database with your application.

In the later sections, you’ll connect with Cassandra from Spark to read and write data. You’ll integrate Cassandra with Spark and learn how to process live streaming data with Spark and persist the data in Cassandra for consumption through the downstream system.

By the end of the course, you’ll be able to build powerful, scalable Cassandra database layers for your applications. You’ll design rich schemes to capture the relationships between different data types and master the advanced features available in Cassandra.

Style and Approach

This course is a comprehensive tutorial that teaches the basic and not so basic concepts of Apache Cassandra using step-by-step instructions. 

Features
  • Master database operations – creating a database, creating a table, inserting data, and modelling data
  • Create a powerful sample application
  • Work with Cassandra nodes to make functions work as per your wish
Course Length 3 hours 04 minutes
ISBN 9781787126190
Date Of Publication 29 Nov 2017
Get Started with Spark
Working with Spark’s Data Structures – RDD, Data Frame, and Dataset
Setting Up the Spark Connector

Authors

Tomasz Lelek

Tomasz Lelek is a software engineer who programs mostly in Java and Scala. He has worked with the core Java language for the past six years. He has developed multiple production Java software projects that work in a reactive way.

He is passionate about nearly everything associated with software development and believes that we should always try to consider different solutions and approaches before solving a problem. Recently, he was a speaker at conferences in Poland, at JDD (Java Developers Day), and at Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference.

He is a co-founder of initLearn, an e-learning platform that was built with the Java language.

He has also written articles about everything related to the Java world.