Apache Cassandra Certification Training

5190 Learners

This Apache Cassandra Certification Training will develop your expertise in working with the high-volume Cassandra database management system as part of the Big Data Hadoop framework. With this Cassandra training, you will learn Cassandra concepts, features, architecture, and data model, and how to install, configure and monitor open-source databases. The Casandra course is ideal for software developers and analytics professionals who wish to further their careers in the Big Data field.

Course Overview

Watch INTRO VIDEO

Key Features

8 hours of self-paced video
Includes 77 quizzes, 5 demos, and 3 hands-on lab exercises
Includes 1 simulation test paper and 1 exam paper
Covers topics on Cassandra advanced architecture

Training Options

Self-Paced Learning

$ 999

Lifetime access to high-quality self-paced e-learning content curated by industry experts
24x7 learner assistance and support

Course Content

Apache Cassandra
Preview
- Lesson 0 - Course Overview
  03:04Preview
  - 0.001 Course Overview
    00:14
  - 0.003 Course Objectives
    00:24
  - 0.004 Course Overview
    00:32
  - 0.005 Target Audience
    00:25
  - 0.006 Course Prerequisites
    00:21
  - 0.007 Value to the Professionals
    00:37
  - 0.008 Lessons Covered
    00:22
  - 0.009 Conclusion
    00:09
- Lesson 1 - Apache Cassandra L1 Overview Big Data and NoSQL Database
  19:12Preview
  - 1.001 Overview of Big Data and NoSQL Database
    00:12
  - 1.002 Course Map
    00:19
  - 1.003 Objectives
    00:23
  - 1.004 The 3 Vs of Big Data
    00:54
  - 1.005 Volume
    00:40
  - 1.006 Data Sizes-Terms
    00:31
  - 1.007 Velocity
    00:56
  - 1.008 Variety
    00:40
  - 1.009 Data Evolution
    00:42
  - 1.010 Features of Big Data
    00:57
  - 1.011 Big Data-Use Cases
    01:26
  - 1.012 Big Data Analytics
    00:55
  - 1.013 Traditional Technology vs. Big Data Technology
    01:05
  - 1.014 Apache Hadoop
    01:06
  - 1.015 HDFS
    01:04
  - 1.016 MapReduce
    00:49
  - 1.017 NoSQL Databases
    01:08
  - 1.018 Brewers CAP Principle
    00:59
  - 1.019 Approaches to NoSQL Databases-Types
    03:22
  - 1.20 Quiz
  - 1.021 Summary
    00:56
  - 1.022 Conclusion
    00:08
- Lesson 2 - Introduction to Cassandra
  17:07Preview
  - 2.001 Introduction to Cassandra
    00:10
  - 2.002 Course Map
    00:11
  - 2.003 Objectives
    00:20
  - 2.004 Introducing Cassandra
    00:22
  - 2.005 Behind the Name
    00:23
  - 2.006 History of Cassandra
    00:54
  - 2.007 Main Features of Cassandra
    00:34
  - 2.008 When is Cassandra Used
    00:47
  - 2.009 Simple Cassandra Program
    00:35
  - 2.010 Cassandra Command Line Interface
    00:58
  - 2.011 Advantages of Cassandra
    00:43
  - 2.012 Limitations of Cassandra
    00:38
  - 2.013 VMware
    00:28
  - 2.014 Simplilearn Virtual Machine
    00:25
  - 2.015 PuTTY
    00:20
  - 2.16 WinSCP
  - 2.017 Demo-Install and Setup VM
    00:07
  - 2.018 Demo-Install and Setup VM
    08:12
  - 2.19 Quiz
  - 2.020 Summary
    00:52
  - 2.021 Conclusion
    00:08
- Lesson 3 - Cassandra Architecture
  22:16Preview
  - 3.001 Cassandra Architecture
    00:11
  - 3.002 Course Map
    00:10
  - 3.003 Objectives
    00:21
  - 3.004 Architecture Requirements of Cassandra
    00:54
  - 3.005 Cassandra Architecture
    01:01
  - 3.006 Cassandra Architecture (contd.)
    00:23
  - 3.007 Effects of the Architecture
    01:02
  - 3.008 Cassandra Write Process
    01:10
  - 3.009 Rack
    00:54
  - 3.010 Cassandra Read Process
    01:19
  - 3.011 Example of Cassandra Read Process
    01:27
  - 3.012 Data Partitions
    01:14
  - 3.013 Replication in Cassandra
    00:59
  - 3.014 Network Topology
    01:43
  - 3.015 Snitches
    00:31
  - 3.016 Gossip Protocol
    01:08
  - 3.017 Seed Nodes
    00:48
  - 3.018 Configuration
    00:37
  - 3.019 Virtual Nodes
    01:19
  - 3.020 Token Generator
    00:56
  - 3.021 Example of Token Generator
    01:10
  - 3.022 Failure Scenarios Node Failure
    00:28
  - 3.023 Failure Scenarios Disk Failure
    00:30
  - 3.024 Failure Scenarios Rack Failure
    00:24
  - 3.025 Failure Scenarios Data Center Failure
    00:38
  - 3.26 Quiz
  - 3.027 Summary
    00:50
  - 3.028 Conclusion
    00:09
- Lesson 4 - Cassandra Installation and Configuration
  21:35Preview
  - 4.001 Cassandra Installation and Configuration
    00:12
  - 4.002 Course Map
    00:12
  - 4.003 Objectives
    00:19
  - 4.004 Cassandra Versions
    00:53
  - 4.005 Steps to Install and Configure Cassandra on Ubuntu System
    00:42
  - 4.006 Step 1-Operating System Selection
    00:33
  - 4.007 Step 2-Machine Selection
    00:36
  - 4.008 Step 3-Preparing for Installation
    00:23
  - 4.009 Step 4-Setup Repository
    01:12
  - 4.010 Step 5-Install Cassandra
    00:37
  - 4.011 Step 6-Check the Installation
    00:57
  - 4.012 Step 7-Configuring Cassandra
    01:06
  - 4.013 Step 8-Configuration for a Single-Node Cluster
    00:53
  - 4.014 Step 9-Configuration for a Multi-Node and Multi-Datacenter Clusters
    00:37
  - 4.015 Step 10-Setup Property File
    01:15
  - 4.016 Step 11-Configuration for a Production Cluster
    00:33
  - 4.017 Step 12-Setup Gossiping Property File
    00:41
  - 4.018 Step 13-Starting Cassandra Services
    01:07
  - 4.019 Step 14-Connecting to Cassandra
    00:49
  - 4.020 Installing on CentOS
    01:09
  - 4.021 Demo-Installing and Configuring Cassandra on Ubuntu
    00:05
  - 4.022 Demo-Installing and Configuring Cassandra on Ubuntu
    05:36
  - 4.23 Quiz
  - 4.024 Summary
    00:59
  - 4.025 Conclusion
    00:09
- Lesson 5 - Cassandra Data Model
  53:15Preview
  - 5.001 Cassandra Data Model
    00:10
  - 5.002 Course Map
    00:10
  - 5.003 Objectives
    00:18
  - 5.004 Cassandra Data Model
    00:34
  - 5.005 Cassandra Data Model Components
    00:52
  - 5.006 Keyspaces
    01:09
  - 5.007 Tables
    01:50
  - 5.008 Columns
    00:39
  - 5.009 UUID and TimeUUID
    00:49
  - 5.010 Counter
    01:00
  - 5.011 Compound Keys
    01:32
  - 5.012 Indexes
    00:42
  - 5.013 Collection Columns
    01:07
  - 5.014 Collection Columns Set
    01:09
  - 5.015 DDL and DML Statements
    00:28
  - 5.016 DDL Statements
    01:18
  - 5.017 DML Statements INSERT
    00:55
  - 5.018 DML Statements UPDATE
    01:33
  - 5.019 DML Statements COPY
    01:43
  - 5.020 DML Statements SELECT
    01:11
  - 5.021 SELECT Statements Restrictions
    01:04
  - 5.022 Valid and Invalid SELECT Statements Example
    01:19
  - 5.023 DML Statements DELETE
    00:57
  - 5.024 Demo 1-Data Definition and Data Manipulation Statements
    00:05
  - 5.025 Demo 1-Data Definition and Data Manipulation Statements
    12:25
  - 5.026 Demo 2-Create a Table with Composite Key
    00:05
  - 5.027 Demo 2-Create a Table with Composite Key
    13:31
  - 5.028 Demo 3-Collection Columns in Cassandra
    00:05
  - 5.029 Demo 3-Collection Columns in Cassandra
    03:32
  - 5.30 Quiz
  - 5.031 Summary
    00:55
  - 5.032 Conclusion
    00:08
- Lesson 6 - Cassandra Interfaces
  11:32Preview
  - 6.001 Lesson 6-Cassandra Interfaces
    00:11
  - 6.002 Course Map
    00:11
  - 6.003 Objectives
    00:28
  - 6.004 Cassandra Interfaces
    00:32
  - 6.005 Cassandra Command Line Interface
    01:02
  - 6.006 Cqlsh Options
    00:52
  - 6.007 Cqlsh Commands
    00:59
  - 6.008 Cqlsh Shell Commands
    01:00
  - 6.009 Cqlsh Help
    00:41
  - 6.010 Java Interfaces
    00:44
  - 6.11 Using the Java Interface
  - 6.012 Querying Cassandra using Java
    00:26
  - 6.013 Java Example
    00:20
  - 6.014 Java Example (contd.)
    00:23
  - 6.15 Full Program
  - 6.016 Compiling the Java Program
    00:39
  - 6.017 Compiling the Java Program (contd.)
    00:55
  - 6.018 Running the Java Program
    00:38
  - 6.019 Java Interface observations
    00:29
  - 6.20 ODBC Interface
  - 6.21 Quiz
  - 6.022 Summary
    00:53
  - 6.023 Conclusion
    00:09
- Lesson 7 - Cassandra Advanced Architecture
  21:05Preview
  - 7.001 Cassandra Advanced Architecture and Cluster Management
    00:14
  - 7.002 Course Map
    00:13
  - 7.003 Objectives
    00:22
  - 7.004 Partitioning
    00:30
  - 7.005 Murmur3Partitioner
    00:27
  - 7.006 RandomPartitioner
    00:32
  - 7.007 ByteOrderedPartitioner
    00:21
  - 7.008 Replication of Data
    01:16
  - 7.009 Replication Strategy
    00:37
  - 7.010 SimpleStrategy
    01:00
  - 7.011 NetworkTopologyStrategy
    01:03
  - 7.012 NetworkTopologyStrategy (contd.)
    00:37
  - 7.013 Replication Example
    01:05
  - 7.014 Tunable Consistency
    01:24
  - 7.015 Read Consistency
    01:22
  - 7.016 Write Consistency
    01:24
  - 7.017 Read or Write Failure
    01:07
  - 7.018 Hinted Handoff
    00:40
  - 7.019 Time to Live
    00:48
  - 7.020 Tombstones
    00:55
  - 7.021 Monitoring the Cluster
    00:58
  - 7.022 Nodetool Options
    00:12
  - 7.023 Install and Configure OpsCenter
    00:14
  - 7.024 Monitoring with OpsCenter
    00:55
  - 7.025 Monitoring with OpsCenter (contd.)
    00:51
  - 7.026 Administer using OpsCenter
    00:40
  - 7.27 Quiz
  - 7.028 Summary
    01:07
  - 7.029 Conclusion
    00:11
- Lesson 8 - Apache Ecosystem around Cassandra
  18:03Preview
  - 8.001 Apache Ecosystem around Cassandra
    00:12
  - 8.002 Course Map
    00:13
  - 8.003 Objectives
    00:19
  - 8.004 Stream
    00:45
  - 8.005 Apache Storm
    00:23
  - 8.006 Storm Architecture
    00:37
  - 8.007 Storm Architecture (contd.)
    00:36
  - 8.008 Storm Data Model
    00:44
  - 8.009 Storm Topology
    01:08
  - 8.010 Storm Topology - Example
    01:02
  - 8.011 Apache Kafka
    00:21
  - 8.012 Kafka Data Model
    00:25
  - 8.013 Kafka Data Model (contd.)
    00:34
  - 8.014 Kafka Architecture
    00:36
  - 8.015 Kafka Architecture (contd.)
    00:29
  - 8.016 Kafka-Queue System
    00:47
  - 8.017 Kafka-Publish-Subscribe System
    00:54
  - 8.018 Real-Time Data Analysis Platform
    00:45
  - 8.019 Real-Time Data Analysis Platform (contd.)
    00:27
  - 8.020 Apache Spark
    00:51
  - 8.021 Apache Spark Architecture
    00:46
  - 8.022 Resilient Distributed Datasets
    00:41
  - 8.023 Operations in Spark
    01:06
  - 8.024 Spark and Scala
    01:16
  - 8.025 Spark - Example
    00:56
  - 8.26 Quiz
  - 8.027 Summary
    01:04
  - 8.028 Thank you
    00:06

Programme Syllabus

Exam & Certification

What are the prerequisites to become a Certified Apache Cassandra Professional?
The prerequisites for the Apache Cassandra course are:
- Fundamental knowledge of any programming language
- Basic understanding of any database, SQL and query language for databases
- Working knowledge of Linux or Unix based systems (not mandatory)
What do I need to do to earn my Simplilearn certificate?
- Complete 85 percent of the course
- Complete one simulation test with a minimum score of 60 percent

Why Join this Program

Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

FAQs

How do I enroll for the online training?
You can enroll for this training on our website and make an online payment using any of the following options:
- Visa Credit or Debit Card
- MasterCard
- American Express
- Diner’s Club
- PayPal
Once payment is received you will automatically receive a payment receipt and access information via email.
What is included in this training?
The Apache Cassandra course offered by Simplilearn includes both online and classroom training. The courseware also includes demos for better understanding of the key concepts.
Can I cancel my enrollment? Do I get a refund?
Yes. You can cancel your enrollment. We will provide you a complete refund after deducting the administration fee. To learn more, please refer to our refund policy.
Do you provide a money back guarantee for the training programs?
Yes. We do offer a money-back guarantee for many of our training programs. You can refer to the refund policy and submit refund requests via our Help and Support portal.
Can I extend the access period?
Yes, you can extend the access period by paying an additional fee. Please submit a request via our Help and Support portal.
Where and how can I access the e-learning content? Are there any limitations?
Once you register for this course, you will have 24/7 access to the e-learning content on our website. An automated course purchase confirmation will guide you through the process.
I am not able to access the online courses. Whom should I contact?
Contact us using the form on the right of any page on the Simplilearn website, select the Live Chat link or contact Help & Support.
I’d like to learn more about this training program. Whom should I contact?
Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives can provide you with more details.

Disclaimer
PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.

Apache Cassandra Certification Training

Course Overview

Key Features

Training Options

Self-Paced Learning

Course Curriculum

Course Content

Apache Cassandra

Lesson 0 - Course Overview

0.001 Course Overview

0.003 Course Objectives

0.004 Course Overview

0.005 Target Audience

0.006 Course Prerequisites

0.007 Value to the Professionals

0.008 Lessons Covered

0.009 Conclusion

Lesson 1 - Apache Cassandra L1 Overview Big Data and NoSQL Database

1.001 Overview of Big Data and NoSQL Database

1.002 Course Map

1.003 Objectives

1.004 The 3 Vs of Big Data

1.005 Volume

1.006 Data Sizes-Terms

1.007 Velocity

1.008 Variety

1.009 Data Evolution

1.010 Features of Big Data

1.011 Big Data-Use Cases

1.012 Big Data Analytics

1.013 Traditional Technology vs. Big Data Technology

1.014 Apache Hadoop

1.015 HDFS

1.016 MapReduce

1.017 NoSQL Databases

1.018 Brewers CAP Principle

1.019 Approaches to NoSQL Databases-Types

1.20 Quiz

1.021 Summary

1.022 Conclusion

Lesson 2 - Introduction to Cassandra

2.001 Introduction to Cassandra

2.002 Course Map

2.003 Objectives

2.004 Introducing Cassandra

2.005 Behind the Name

2.006 History of Cassandra

2.007 Main Features of Cassandra

2.008 When is Cassandra Used

2.009 Simple Cassandra Program

2.010 Cassandra Command Line Interface

2.011 Advantages of Cassandra

2.012 Limitations of Cassandra

2.013 VMware

2.014 Simplilearn Virtual Machine

2.015 PuTTY

2.16 WinSCP

2.017 Demo-Install and Setup VM

2.018 Demo-Install and Setup VM

2.19 Quiz

2.020 Summary

2.021 Conclusion

Lesson 3 - Cassandra Architecture

3.001 Cassandra Architecture

3.002 Course Map

3.003 Objectives

3.004 Architecture Requirements of Cassandra

3.005 Cassandra Architecture

3.006 Cassandra Architecture (contd.)

3.007 Effects of the Architecture

3.008 Cassandra Write Process

3.009 Rack

3.010 Cassandra Read Process

3.011 Example of Cassandra Read Process

3.012 Data Partitions

3.013 Replication in Cassandra

3.014 Network Topology

3.015 Snitches

3.016 Gossip Protocol

3.017 Seed Nodes