Apache Cassandra Certification Training

Apache Cassandra Solutions Architect Training

OL Tech Edu Apache Cassandra Certification Training is designed by professionals as per the industry requirements and demands. This Cassandra Certification Training helps you to master the concepts of Apache Cassandra including Cassandra Architecture, its features, Cassandra Data Model and its Administration. Throughout the Cassandra course, you will learn to install, configure, and monitor Cassandra, along with its integration with other Apache frameworks like Hadoop, Spark and Kafka.

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Course Curriculum

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Apache Cassandra Certification Training

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OL Tech Edu's Apache Cassandra Certification Training is designed by professionals as per the industry requirements and demands. This Cassandra Certification Training helps you to master the concepts of Apache Cassandra including Cassandra Architecture, its features, Cassandra Data Model and its Administration. Throughout the Cassandra course, you will learn to install, configure and monitor Cassandra, along with its integration with other Apache frameworks like Hadoop, Spark and Kafka.

  • WEEK 5-6
  • 10 Modules
  • 6 Hours
Apache Cassandraertification Training Is Designed
Goal: In this module you will get a brief introduction of Big Data and how it creates problems for traditional Database Management Systems like RDBMS. You will also learn how Cassandra solves these problems and understand Cassandra’s features.

Skills:
  • Basic Concepts of Cassandra.

Objectives:

At the end of this module, you will be able to.

  • Explain What is Big Data.
  • List the Limitations of RDBMS. 
  • Define NoSQL and it’s Characteristics.
  • Define CAP Theorem.
  • Learn Cassandra. 
  • List the Features of Cassandra.
  • Get a Tour of OL Tech Edu’s VM.
 
Topics:
  • Introduction to Big Data and Problems caused by it.
  • 5V – Volume, Variety, Velocity, Veracity and Value.
  • Traditional Database Management System.
  • Limitations of RDMS. 
  • NOSQL Databases.
  • Common Characteristics of NoSQL Databases.
  • CAP Theorem.
  • How Cassandra Solves the Limitations?
  • History of Cassandra.
  • Features of Cassandra.

Hands On:
  • OL Tech Edu VM tour.
Goal: In this module, you will learn about Database Model and similarities between RDBMS and Cassandra Data Model. You will also understand the key Database Elements of Cassandra and learn about the concept of Primary Key.

Skills: 
  • Data Modelling in Cassandra.
  • Data Structure Design.

Objectives:

At the end of this module, you will be able to:

  • Explain What is Database Modelling and it’s Features.
  • Describe the Different Types of Data Models.
  • List the Difference between RDBMS and Cassandra Data Model.
  • Define Cassandra Data Model.
  • Explain Cassandra Database Elements.
  • Implement Keyspace Creation, Updating and Deletion.
  • Implement Table Creation, Updating and Deletion.

Topics: 
  • Introduction to Database Model.
  • Understand the Analogy between RDBMS and Cassandra Data Model.
  • Understand following Database Elements: Cluster, Keyspace, 
     Column Family/Table, Column.
  • Column Family Options. 
  • Columns. 
  • Wide Rows, Skinny Rows. 
  • Static and Dynamic Tables.

Hands On:
  • Creating Keyspace. 
  • Creating Tables.
Goal: Gain knowledge of architecting and creating Cassandra Database Systems. In addition, learn about the complex inner workings of Cassandra such as Gossip Protocol, Read Repairs and so on.

Skills: 
  • Cassandra Architecture.
Objectives:

At the end of this module, you will be able to:

  • Explain the Architecture of Cassandra.
  • Describe the Different Layers of Cassandra Architecture.
  • Learn about Gossip Protocol.
  • Describe Partitioning and Snitches.
  • Explain Vnodes and How Read and Write Path Works.
  • Understand Compaction, Anti-Entropy and Tombstone.
  • Describe Repairs in Cassandra.
  • Explain Hinted Handoff.

Topics: 
  • Cassandra as a Distributed Database.
  • Key Cassandra Elements.
  1. Memtable.
  2. Commit Log.
  3. SSTables.
  • Replication Factor.
  • Data Replication in Cassandra.
  • Gossip Protocol – Detecting Failures.
  • Gossip: Uses.
  • Snitch: Uses.
  • Data Distribution
  • Staged Event-Driven Architecture (SEDA). 
  • Managers and Services. 
  • Virtual Nodes: Write Path and Read Path.
  • Consistency Level.
  • Repair.
  • Incremental Repair.
Goal: In this module you will learn about Keyspace and its attributes in Cassandra. You will also create Keyspace, learn how to create a Table and perform operations like Inserting, Updating and Deleting data from a table while using CQLSH.

Skills: 
  • Database Operations.
  • Table Operations.
Objectives: 

At the end of this module, you will be able to:

  • Describe Different Data Types Used in Cassandra.
  • Explain Collection Types.
  • Describe What are CRUD Operations.
  • Implement Insert, Select, Update and Delete of Various Elements.
  • Implement Various Functions Used in Cassandra.
  • Describe Importance of Roles and Indexing. 
  • Understand Tombstones in Cassandra.

Topics:
  • Replication Factor.
  • Replication Strategy.
  • Defining Columns and Data Types.
  • Defining a Partition Key.
  • Recognizing a Partition Key.
  • Specifying a Descending Clustering Order.
  • Updating Data.
  • Tombstones.
  • Deleting Data.
  • Using TTL.
  • Updating a TTL.

Hands On/Demo
  • Create Keyspace in Cassandra.
  • Check Created Keyspace in System_Schema,Keyspaces.  
  • Update Replication Factor of Previously Created Keyspace.
  • Drop Previously Created Keyspace.
  • Create A Table Using cqlsh.
  • Create A Table Using UUID & TIMEUUID.
  • Create A Table Using Collection & UDT Column.
  • Create Secondary Index On a Table.
  • Insert Data Into Table.
  • Insert Data into  Table with UUID & TIMEUUID Columns.
  • Insert Data Using COPY Command.
  • Deleting Data from Table.
Goal: Learn how to add nodes in Cassandra and configure Nodes using “cassandra.yaml” file. Use Nodetool to remove node and restore node back into the service. In addition, by using Nodetool repair command learn the importance of repair and how repair operation functions.

Skills: 
  • Node Operations.

Objectives: 

At the end of this module, you will be able to:

  • Explain Cassandra Nodes.
  • Understand Seed Nodes.
  • Configure Seed Nodes using Cassandra.yaml File.
  • Add/Bootstrap a node in a Cluster.
  • Use Nodetool utility to decommission a node from the Cluster.
  • Remove a Dead Node from a Cluster. 
  • Describe the need to Repair Nodes.
  • Use Nodetool Repair Command.

Topics:
  • Cassandra Nodes.
  • Specifying Seed Nodes.
  • Bootstrapping a Node.
  • Adding a node (Commissioning) in Cluster.
  • Removing (Decommissioning) a Node.
  • Removing a dead node.
  • Repair.
  • Read Repair.
  • What’s new in Incremental Repair?
  • Run a Repair Operation.
  • Cassandra and Spark Implementation.

Hands On:
  • Commissioning a Node.
  • Decommissioning a Node.
  • Nodetool Commands.
Goal: The key aspects to monitoring Cassandra are resources used by each node, response latencies to requests, requests to offline nodes and the compaction process. Learn to use various monitoring tools in Cassandra such as Nodetool and JConsole in this module.

Skills: 
  • Clustering.

Objectives: 

At the end of this module, you will be able to:

  • Describe the Various Monitoring Tools Available. 
  • Implement Nodetool Utility to Manage a Cluster.
  • Use JConsole to Monitor JMX Statistics.
  • Understand OpsCenter Tool.

Topics:
  • Cassandra Monitoring Tools.
  • Logging. 
  • Tailing. 
  • Using Nodetool Utility.
  • Using JConsole.
  • Learning about OpsCenter.
  • Runtime Analysis Tools.

Hands On:
  • JMX and Jconsole.
  • OpsCenter.
Goal: In this Module you will learn about the importance of Backup and Restore functions in Cassandra and Create Snapshots in Cassandra. You will learn about Hardware selection and Performance Tuning (Configuring Log Files) in Cassandra. You will also learn about Cassandra integration with various other frameworks.

Skills: 
  • Performance Tuning.
  • Cassandra Design Principals.
  • Backup and Restoration.

Objectives:

At the end of this module, you’ll be able to:

 
  • Learn Backup and Restore Unctionality and its Importance.
  • Create a Snapshot using Nodetool Utility.
  • Restore a Snapshot.
  • Understand how to Choose the Right Balance of the following Resources: Memory, CPU, Disks, Number of Nodes and Network.
  • Understand all the Logs Created by Cassandra. 
  • Explain the Purpose of Different Log Files.
  • Configure the Log Files. 
  • Learn about Performance Tuning. 
  • Integration with Spark and Kafka.

Topics:
  • Creating a Snapshot.
  • Restoring from a Snapshot.
  • RAM and CPU Recommendations.
  • Hardware Choices.
  • Selecting Storage.
  • Types of Storage to Avoid.
  • Cluster Connectivity, Security and the Factors that Affect Distributed System Performance.
  • End-to-end Performance Tuning of Cassandra Clusters against very Large Data Sets.
  • Load Balance and Streams.

Hands On:
  • Creating Snapshots.
  • Integration with Kafka.
  • Integration with Spark.
Goal: In this Module you will learn about Design, Implementation and on-going support of Cassandra Operational Data. Finally, you will learn how to Host a Cassandra Database on Cloud.

Skills:
  • Security.
  • Design Implementation.
  • On-going Support of Cassandra Operational Data.

Objectives: 

At the end of this module, you’ll be able to:

 
  • Security. 
  • Learn about DataStax.
  • Create an End-to-End Project using Cassandra.
  • Implement a Cassandra Database on Cloud.

Topics:
  • Security.
  • Ongoing Support of Cassandra Operational Data.
  • Hosting a Cassandra Database on Cloud.

Hands On:
  • Hosting Cassandra Database on Amazon Web Services.

Program Syllabus

Curriculum

You can also view the program syllabus by downloading this program Curriculum.

Curriculum

Projects

What are the system requirements for this Cassandra Training?

Minimum RAM required:- 4GB (Suggested: 8GB), Minimum Free Disk Space:- 25GB, Minimum Processor i3 or above Operating System of 64bit, Participant’s machines must support a 64-bit VirtualBox guest image.

How will I execute the Practicals?

For this Cassandra training, we will help you to setup OLTechEdus Virtual Machine in your System with local access. The detailed installation guides are provided in the LMS for setting up the environment. For any doubt, the 24*7 support team will promptly assist you.

Which projects are included in OL Tech Edu Online Apache Cassandra Training Course?

Case Study 1: Product Liking Functionality David is CEO of www.purhaseitnow.com. Currently, he is selling 300k products per day across multiple categories. There are thousands of sellers having millions of products Requirements Get User Details by User Id.

Course Description

About The Course
About Cassandra TrainingCassandra is a distributed database from Apache that is highly scalable and designed to manage huge amount of unstructured data. Apache Cassandra Certification Training covers Database Operations, Table Operations, Node Operations in a Cluster, Managing & Monitoring the Cluster, Backup/Restore, Performance Tuning and Hosting Cassandra Database on Cloud. You will also learn to integrate Cassandra with other Apache frameworks like Hadoop, Spark, and Kafka. MySQL is the most popular open source database. This training is your first step towards gaining a strong foundation and hands-on experience in using and administering this open source relational databases. You will gain an understanding of the core concepts and advanced tools and techniques to manage data and administer the MySQL Database. Through this training you will gain the ability to create and administer your own MySQL Database and manage data.
Objectives Of Our Online PySpark Training Course
What are the objectives of our Apache Cassandra Certification Training? This Apache Cassandra Training is designed by industry experts to help you master Apache Cassandra. The Cassandra Course offers:
  • In-depth knowledge of NoSQL database, including features such as High Availablity, Fault Tolerance, Fast Processing and Scalability.
  • Comprehensive knowledge of Cassandra Database and it's architecture,Capability to ingest data in Cassandra and perform various operations Experience with Single & Multi-Node Cluster setup and different Node Operations using nodetool.
  • Capability to Manage and Monitor the Cassandra.
  • Cluster Knowledge of various Security and Backup features provided by Cassandra,Exposure to many real-life industry based Projects.
  • Case Studies which are diverse in nature covering banking, telecommunication, social media and e-commerce domains.
Go For Online Spark Training
Why you should go for Apache Cassandra Training? Apache Cassandra is one of the most widely used NoSQL database. It offers features such as Fault Tolerance, Scalability, Flexible Data Storage and it's efficient writes, which makes it the perfect database for various purposes. Apache Cassandra is the right choice of database if you are looking for scalability and high availability without compromising performance for your mission-critical applications. To take benefits of these opportunities you need a structured training with an updated curriculum as per current industry requirements and best practices. Besides strong theoretical understanding, you also need to work on real-life Cassandra projects as a part of solution strategy. It is open source and is used by many companies like Spotify, eBay, Comcast, Adobe, NASA, Netflix and Twitter which led to increase in jobs in the Cassandra Domain.
Learning With Our PySpark Certification Training
What are the skills that you will be learning with our Apache Cassandra Certification Training? Apache Cassandra Certification Training will help you to become a Cassandra expert. It will hone your skills by offering you comprehensive knowledge on Cassandra, it's internals and the required hands-on experience for solving real-time industry-based big data projects. During the Cassandra Training, you will be guided and trained by our expert instructors to:
  • Master the concepts of NoSQL database & understand where Cassandra is used.
  • Understand CAP theorem, to Cassandra's History.
  • Install Cassandra Single Node Cluster and Manage them.
  • Describe Apache Cassandra Architecture,Design and Model applications for Cassandra.
  • Learn about Keyspaces, Tables,Perform Cassandra Admin Operations for Managing a Cluster.
  • Learn concepts related to Cassandra Performance Tuning.
  • Implement Backup and Recovery Strategies for Cassandra,Host Cassandra on Cloud.
Who Should Go For Our PySpark Training Course
Who should go for this Apache Cassandra Training Course? The market for Big Data analytics is growing across the world and this strong growth pattern translates into a great opportunity for all the IT Professionals. Cassandra being Highly Available and extremely fast is one of the widely used NoSQL database. Our Apache Cassandra Training helps you to grab this opportunity and accelerate your career. It is best suited for: Big Data Developer / Administrator / Architect / Analyst / Engineer,Software Architect / Engineer/Developer Solution Delivery Consultant,Senior BI / ETL Developer,NoSQL Big Data Developer.
Who Should Go For Our PySpark Training Course
What are the pre-requisites for Apache Cassandra Training Course? As such there are no prerequisites for Apache Cassandra course. Knowledge of Linux command line is preferred. Exposure to Java, Database or Data-Warehouse concepts is a plus, but certainly not a mandate.

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Instructor-led Sessions

30 Hours of Online Live Instructor-Led Classes.
Weekend Class : 10 sessions of 3 hours each.

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