CASSANDRA Training in Sydney, Australia

Cassandra Course

  • 24 hours of Instructor-led sessions
  • Learn the core concepts of Cassandra including how and where to use it
  • Understand Cassandra data models and architecture
  • Learn how to configure, read, write Cassandra and integrate with Hadoop
  • Learn to design and build Cassandra based applications
  • Projects and Case studies to reinforce your learning

Overview

As big data sweeps the world there has been a growing need for databases that provide scalable and flexible storage solutions. NoSQLs are the answer to this and among the most popular NoSQLs is Cassandra helping organizations handle complex web applications and data proliferation.  This course will help you master Apache Cassandra and take up industry challenges with success. 

The NoSQL market is expected to reach $4.2 Billion globally by 2020. Cassandra holds a major share of this market due to its open source nature, peer to peer architecture, elastic scalability, high availability and performance and fault tolerance. This course will introduce you to the fundamentals of Cassandra, and with hands-on exercises you will go from learning about the basics to the more advanced concepts such as Cassandra Data models, Architecture, configuration, read and write data and integration with Hadoop.  

Enrol now and make most use of the popularity of this technology to make a high profile career. 

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

  • Understand complex inner workings such as gossip protocol, read repairs and Merkle trees

  • Identify requirements and create a Cassandra data model by applying data modelling techniques

  • Integrate Cassandra with Hadoop and use tools like Pig and Hive

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

3 Months FREE Access to all our E-learning courses when you buy any course with us

Who Should Attend

  • Engineers working with large volume websites
  • Those expected to design fault tolerant database systems
  • Students and individuals who wish to learn more about Cassandra

Knowledgehut Experience

Instructor-led Live Classroom

Interact with our expert instructors in real-time— listen, learn, question and apply.

Curriculum Designed by Experts

Stay globally relevant and empower yourself with the latest tools and training through our in-depth curriculum.

Learn through Doing

Learn theory backed by practical case studies, exercises and coding practice that will make you ready for the industry.

Mentored by Industry Leaders

Learn from the best in the field. Our mentors are all experienced professionals in the fields they teach.

Advance from the Basics

Learn concepts from scratch, and advance your learning through step-by-step guidance on tools and techniques.

Code Reviews by Professionals

Get reviews and feedback on your final projects from professional developers.

Curriculum

Learning Objective:

Get introduced to Apache Cassandra and some of its design considerations and components and learn about various use cases of Cassandra.

  • Differences between NoSQL and RDBMS
  • Replication in RDBMS
  • Key Challenges with RDBMS
  • Schema
  • Advantage & Limitation
  • Key Characteristics of No SQL Data Base
  • Advantages of Cassandra
  • Where and when to use it?
  • Brewers CAP Theorem
  • Cassandra Key Features
  • Distributed and Decentralised
  • Elastic Scalability
  • High Availability and Fault Tolerance
  • Tuneable Consistency
  • Strict Consistency
  • Casual Consistency
  • Weak (Eventual Consistency)
  • Column Orientation
  • Column Orientation
  • Introduction to Cassandra
  • USE Cases for Cassandra

Learning Objective:

Install and configure Cassandra. Build your own local, single-node cluster. Learn about CCM with some basic commands with Cassandra's nodetool.

  • Installation
  • Configuration
  • Starting Cassandra
  • Cassandra Cluster Manager
  • Introduction to the data model
  • Shutting down Cassandra

Hands-on:

  • Installation and configuration
  • Starting up and shutting down Cassandra

Learning Objective:

Learn to run Command-Line Client Interface, connect to a server. Also, learn about the relational data model, design differences between RDBMS and Cassandra.

  • Installation
  • Running the Command-Line Client Interface
  • Basic CLI Commands, Help
  • Connecting to a Server, Describing the Environment
  • Creating and Keyspace and Column Family
  • Writing and Reading Data
  • The Relational Data Model
  • Cluster
  • Keyspaces
  • What is Column oriented database
  • Column Families
  • Column Family Options
  • Columns
  • Wide Rows
  • Skinny Rows
  • Column Sorting
  • Super Columns
  • Composite Keys
  • Design Differences between RDBMS and CASSANDRA
  • Query Language
  • Referential Integrity
  • Secondary Indexes
  • Sorting, DeNormalisation
  • Design Patterns
  • Materialized Views

Hands-on:

Run Command- Line Client Interface. Read and write data.

Learning Objective:

Learn to configure a data model.

  • Token calculation
  • Configuration overview
  • Node tool
  • Validators
  • Comparators
  • Expiring column

Hands-on:

Configure a data model using Token calculation, node tool, validators, comparators.

Learning Objective:

Learn about the concepts that influenced Cassandra's design and use. Understand Brewer's CAP theorem data-distribution and partitioning; Cassandra's read and write paths; how data is stored on-disk; inner workings of components such as the snitch, tombstones, and failure-detection; and the delivered security features.

  • Cassandra's ring architecture
  • Cassandra's write path
  • Cassandra's read path
  • On-disk storage
  • Additional components of Cassandra

Hands-on:

Problems that Cassandra was designed to solve

  • Cassandra's read and write paths
  • The role that horizontal scaling plays
  • How data is stored on-disk
  • How Cassandra handles failure scenarios

Learning Objective:

Learn about CQL, its syntax and usage and evolution as a language and comparing some of its capabilities to the well-known SQL of the relational database world.

  • Overview of Cassandra Data Modeling
  • cqlsh
  • Getting started with CQL

Hands-on: 

Build primary keys that facilitate high-performing data models at scale

  • Use CQL syntax and solve different types of problems using it

Learning Objective:

Learn to start the cluster, examine its performance, make an adjustment, and test.

  • Evaluating instance requirement
  • Operating systems optimization
  • Configuring the JVM
  • Configuring Cassandra

Hands-on:-

Sizing hardware and computer resources for Cassandra deployments

  • Operating system optimizations
  • Configuring the JVM
  • Configuring Cassandra

Learning Objective:

Learn about Cassandra-Stress and how to establish a performance baseline for a specific data model. Evaluate factors that can influence write performance. Understand read performance, and the different configuration properties that can help Apache Cassandra perform well during read-heavy and mixed workloads.

  • Cassandra Stress
  • Write performance
  • Read performance
  • Other performance considerations

Hands-on: -

Using the Cassandra-Stress tool discover opportunities for improvement

  • Looking into situations to apply different table-compaction strategies
  • Examining Apache Cassandra's cache and compression options
  • Improving upon the efficiency of the JVM
  • Optimizing network settings and configuration to avoid performance bottlenecks.

Learning Objective:

Learn to scale your cluster horizontally, as well as to remove and replace failed nodes.

  • Add/Remove Nodes
  • Scaling Up
  • Scaling Down
  • Backing up and restoring data
  • Maintenance

Hands-on:-

Adding and removing nodes

  • Working with logical data centers
  • Backups
  • Techniques for ensuring data consistency.

Learning Objective:

Learn about the wide variety of options available for monitoring and logging for Apache Cassandra, which will help in identifying issues proactively.

  • JMX interface
  • Node tool utility
  • Metric stack
  • Log stack
  • Troubleshooting

Hands-on:

Understand different monitoring and logging tools, and how they provide more insight for problem solving on your cluster. 

Make decisions using reliable out-of-the-box applications from the open source community, including installing, configuring, analyzing, and setting up alerting.

Learning Objective:

Learn the correct use cases and database selection. Discover the DataStax Java driver, its behaviors and configurations, and how it interacts with Apache Cassandra.

  • Common mistakes made at the application and data model levels
  • Driver selection
  • Appropriate connection properties
  • Handling simple and complex result sets in Java
  • Loading data without overwhelming your nodes

Hands-on:

  • Select Driver
  • Appropriate connection properties
  • Handling simple and complex result sets in Java
  • Loading data without overwhelming your nodes.

Learning Objective:

Learn about Spark architecture, which stands on top among other sets of available tools; it offers ease of installation and a huge community, as well as backing up on Hadoop for data warehousing. Get to know the different ways of installation, along with a custom all-in-one Docker image, which has Apache Cassandra, a monitoring stack, and Spark including PySpark, SparkR, and Jupyter with their dependencies.

  • Spark (architecture, installation, and configuration)
  • PySpark
  • SparkR
  • Read, transform, and write
  • The Jupyter web interface

Hands-on:

  • Read, transform, and write
  • Work with Jupyter web interface.

Project

Project

You will build Cassandra applications.

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Faq

The Course

The average pay for a Cassandra professional is $121,806/year with salaries going upto $202,000 annually. This goes to show the popularity of Cassandra among organizations seeking to hire NoSQL experts. This course is your opportunity to learn and master Cassandra and become one among these high earning Cassandra professionals.

After completing our course, you will be able to:

  • Get a solid understanding of the concepts of Cassandra and know how to use it
  • Learn to harness the capabilities of this database to run high volumes of data
  • Learn how to scale-up or scale-down the architecture and perform read and write operations
  • Design and model a Cassandra application 
  • Integrate Cassandra with Hadoop and learn how to analyse data
  • Understand how to ensure authentication and authorization in Cassandra

By the end of this course you would have worked on projects and hands-on tutorials to gain a complete and thorough understanding of Cassandra.

There are no restrictions but participants would benefit if they have basic programming knowledge.

Yes, KnowledgeHut offers this training online.

On successful completion of the course you will receive a course completion certificate issued by KnowledgeHut.

Your instructors are Cassandra experts who have years of industry experience.

Finance Related

Any registration cancelled within 48 hours of the initial registration will be refunded in FULL (please note that all cancellations will incur a 5% deduction in the refunded amount due to transactional costs applicable while refunding) Refunds will be processed within 30 days of receipt of written request for refund. Kindly go through our Refund Policy for more details: https://www.knowledgehut.com/refund

KnowledgeHut offers a 100% money back guarantee if the candidate withdraws from the course right after the first session. To learn more about the 100% refund policy, visit our Refund Policy.

The Remote Experience

In an online classroom, students can log in at the scheduled time to a live learning environment which is led by an instructor. You can interact, communicate, view and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improves your online training experience.

Minimum Requirements:

  • Operating system such as Mac OS X, Windows or Linux
  • A modern web browser such as FireFox, Chrome
  • Internet Connection 

Have More Questions?

CASSANDRA Course in Sydney

Cassandra course in Sydney Australia

Sydney is the state capital of New South Wales and the most populous city in Australia and Oceania. Sydney is indeed an ancient city with a rich tradition having been established in January 1788. The city is popular for famous attractions that include the Sydney Opera House and the Sydney Harbour Bridge. Sydney, therefore, commands population due to these attractions and other opportunities that a city of its calibre affords. Learning the Apache Cassandra database course in Sydney Australia is then a good idea. KnowledgeHut provides a Cassandra certification in Sydney Australia. So, while you pursue a career in database management, KnowledgeHut?s Cassandra training in Sydney Australia is what you should enrol for.


About Cassandra workshop in Sydney Australia

Cassandra is a very popular and widely implemented database in the world today. Major companies and organisation use Cassandra nowadays in various ways that include content management and data analytics. During the online lectures for Cassandra certification in Sydney Australia, you will learn the Cassandra data model, the application engineering, the Cassandra Query Language (CQL) among other things. In other to know the cost, schedule and other logistics for the Cassandra course, sign up for a free demo.


Why you should take up the Cassandra training in Sydney Australia

The Cassandra training in Sydney Australia is designed for those expected to design fault tolerance database systems, every engineer working with large volume websites as well as people interested in Cassandra. The online training is done over a 24-hour live session, 60 hours MCQs and Assignments and is being taught by world-class tutors. Not only will the course help students work with databases better, but it will also enable one to work smartly due to its high scalability. The curriculum is also designed by professionals to enable students to stay globally relevant.


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