Course description

  • What are the course objectives?

    Apache Cassandra is a free, open-source project and a second-generation distributed NoSQL database and is considered to be the best choice for high availability and scalability databases, particularly when dealing with large amounts of data. Cassandra supports replication across multiple datacenters, while also making the write and read processes highly scalable by offering tunable consistency. This Apache Cassandra training course will provide you with an overview of the fundamentals of Big Data and NoSQL databases, an understanding of Cassandra and its features, architecture and data model, its role in the Hadoop Big Data ecosystem, and show you how to install, configure and monitor Cassandra.

  • Why is this Apache Cassandra course a popular choice?

    Apache Cassandra is carefully designed to handle huge workloads across multiple datacenters without a single point of failure, making it a popular choice for IT organizations worldwide. Cassandra provides enterprises with greater database availability, scalability and performance, and as an open-source project, it allows you to use the source code and modify it as your organization requires. According to recent surveys, job prospects for Cassandra experts are growing at the rate of 300 percent.

  • What skills will you learn?

    By the end of Simplilearn’s Apache Cassandra training, you will be able to:
    • Describe the need for Big Data and NoSQL
    • Explain the fundamental concepts of Cassandra and its architecture
    • Describe the architecture of Cassandra
    • Demonstrate data model creation in Cassandra
    • Use Cassandra database interfaces
    • Demonstrate Cassandra database configuration

  • What are the career benefits of this course?

    Apache Cassandra certified professionals will be:
    • Able to demonstrate their expertise in the fast-growing big data industry
    • Well-placed to benefit from the growing demand in NoSQL databases
    • Able to benefit from the shortage of Cassandra trained professionals
    • Well-equipped to lead their organizations in Big Data analytics using Cassandra
    • Experienced in tools used to process huge amounts of data
    • In the forefront of the big data technology, which is expected to be in demand for many years to come
     
    Certified professionals will be prepared for such careers as: senior software professional, IT consultants, lead software professionals and database administrators.
     
    The value of Apache Cassandra has increased sharply in the recent years and this certification is quickly becoming an entry requirement for a majority of IT-based roles. According to a recent survey, the average salary of a certified professional in this field ranges from $75,000 to $132,000.

  • Who should take this Cassandra course?

    The following roles are best suited for this course to enhance their skills and expertise:
    • Professionals aspiring for a career in NoSQL databases and Cassandra
    • Analytics professionals
    • Research professionals
    • IT developers
    • Testers
    • Project managers
    • Any student or person with an interest in Cassandra and big data that fulfills the prerequisites

Course preview

    • Lesson 0 - Course Overview 03:06
      • 0.1 Course Overview 00:14
      • 0.2 Course Objectives 00:25
      • 0.3 Course Overview 00:33
      • 0.4 Target Audience 00:25
      • 0.5 Course Prerequisites 00:21
      • 0.6 Value to the Professionals 00:37
      • 0.7 Lessons Covered 00:22
      • 0.8 Conclusion 00:09
    • Lesson 1 - Apache Cassandra L1 Overview Big Data and NoSQL Database 19:20
      • 1.1 Overview of Big Data and NoSQL Database 00:13
      • 1.2 Course Map 00:12
      • 1.3 Objectives 00:23
      • 1.4 The 3 Vs of Big Data 00:55
      • 1.5 Volume 00:46
      • 1.6 Data Sizes-Terms 00:32
      • 1.7 Velocity 00:57
      • 1.8 Variety 00:40
      • 1.9 Data Evolution 00:42
      • 1.10 Features of Big Data 00:57
      • 1.11 Big Data-Use Cases 01:27
      • 1.12 Big Data Analytics 00:55
      • 1.13 Traditional Technology vs. Big Data Technology 01:06
      • 1.14 Apache Hadoop 01:06
      • 1.15 HDFS 01:04
      • 1.16 MapReduce 00:50
      • 1.17 NoSQL Databases 01:08
      • 1.18 Brewer’s CAP Principle 00:59
      • 1.19 Approaches to NoSQL Databases-Types 03:22
      • 1.20 Quiz
      • 1.21 Summary 00:57
      • 1.22 Conclusion 00:09
    • Lesson 2 - Introduction to Cassandra 17:16
      • 2.1 Introduction to Cassandra 00:11
      • 2.2 Course Map 00:12
      • 2.3 Objectives 00:20
      • 2.4 Introducing Cassandra 00:22
      • 2.5 Behind the Name 00:23
      • 2.6 History of Cassandra 00:54
      • 2.7 Main Features of Cassandra 00:34
      • 2.8 When is Cassandra Used 00:48
      • 2.9 Simple Cassandra Program 00:36
      • 2.10 Cassandra Command Line Interface 00:59
      • 2.11 Advantages of Cassandra 00:43
      • 2.12 Limitations of Cassandra 00:39
      • 2.13 VMware 00:28
      • 2.14 Simplilearn Virtual Machine 00:26
      • 2.15 PuTTY 00:21
      • 2.16 WinSCP
      • 2.17 Demo-Install and Setup VM 00:07
      • 2.18 Demo-Install and Setup VM 08:12
      • 2.19 Quiz
      • 2.20 Summary 00:52
      • 2.21 Conclusion 00:09
    • Lesson 3 - Cassandra Architecture 22:37
      • 3.1 Cassandra Architecture 00:12
      • 3.2 Course Map 00:11
      • 3.3 Objectives 00:21
      • 3.4 Architecture Requirements of Cassandra 00:55
      • 3.5 Cassandra Architecture 01:02
      • 3.6 Cassandra Architecture (contd.) 00:24
      • 3.7 Effects of the Architecture 01:03
      • 3.8 Cassandra Write Process 01:11
      • 3.9 Rack 00:55
      • 3.10 Cassandra Read Process 01:20
      • 3.11 Example of Cassandra Read Process 01:28
      • 3.12 Data Partitions 01:15
      • 3.13 Replication in Cassandra 01:00
      • 3.14 Network Topology 01:43
      • 3.15 Snitches 00:32
      • 3.16 Gossip Protocol 01:09
      • 3.17 Seed Nodes 00:49
      • 3.18 Configuration 00:38
      • 3.19 Virtual Nodes 01:19
      • 3.20 Token Generator 00:56
      • 3.21 Example of Token Generator 01:11
      • 3.22 Failure Scenarios Node Failure 00:29
      • 3.23 Failure Scenarios Disk Failure 00:30
      • 3.24 Failure Scenarios Rack Failure 00:25
      • 3.25 Failure Scenarios Data Center Failure 00:39
      • 3.26 Quiz
      • 3.27 Summary 00:50
      • 3.28 Conclusion 00:10
    • Lesson 4 - Cassandra Installation and Configuration 21:48
      • 4.1 Cassandra Installation and Configuration 00:13
      • 4.2 Course Map 00:12
      • 4.3 Objectives 00:19
      • 4.4 Cassandra Versions 00:54
      • 4.5 Steps to Install and Configure Cassandra on Ubuntu System 00:42
      • 4.6 Step 1-Operating System Selection 00:33
      • 4.7 Step 2-Machine Selection 00:36
      • 4.8 Step 3-Preparing for Installation 00:23
      • 4.9 Step 4-Setup Repository 01:13
      • 4.10 Step 5-Install Cassandra 00:38
      • 4.11 Step 6-Check the Installation 00:58
      • 4.12 Step 7-Configuring Cassandra 01:06
      • 4.13 Step 8-Configuration for a Single-Node Cluster 00:53
      • 4.14 Step 9-Configuration for a Multi-Node and Multi-Datacenter Clusters 00:38
      • 4.15 Step 10-Setup Property File 01:15
      • 4.16 Step 11-Configuration for a Production Cluster 00:34
      • 4.17 Step 12-Setup Gossiping Property File 00:42
      • 4.18 Step 13-Starting Cassandra Services 01:08
      • 4.19 Step 14-Connecting to Cassandra 00:49
      • 4.20 Installing on CentOS 01:10
      • 4.21 Demo-Installing and Configuring Cassandra on Ubuntu 00:06
      • 4.22 Demo-Installing and Configuring Cassandra on Ubuntu 05:37
      • 4.23 Quiz
      • 4.24 Summary 00:59
      • 4.25 Conclusion 00:10
    • Lesson 5 - Cassandra Data Model 54:04
      • 5.1 Cassandra Data Model 00:11
      • 5.2 Course Map 00:10
      • 5.3 Objectives 00:18
      • 5.4 Cassandra Data Model 00:34
      • 5.5 Cassandra Data Model Components 00:52
      • 5.6 Keyspaces 01:09
      • 5.7 Tables 01:51
      • 5.8 Columns 00:40
      • 5.9 UUID and TimeUUID 00:49
      • 5.10 Counter 01:01
      • 5.11 Compound Keys 01:33
      • 5.12 Indexes 00:43
      • 5.13 Collection Columns 01:08
      • 5.14 Collection Columns Set 01:09
      • 5.15 DDL and DML Statements 00:28
      • 5.16 DDL Statements 01:19
      • 5.17 DML Statements INSERT 00:56
      • 5.18 DML Statements UPDATE 01:33
      • 5.19 DML Statements COPY 01:43
      • 5.20 DML Statements SELECT 01:04
      • 5.21 SELECT Statements Restrictions 01:04
      • 5.22 Valid and Invalid SELECT Statements Example 01:19
      • 5.23 DML Statements DELETE 00:57
      • 5.24 Demo 1-Data Definition and Data Manipulation Statements 00:06
      • 5.25 Demo 1-Data Definition and Data Manipulation Statements 12:25
      • 5.26 Demo 2-Create a Table with Composite Key 00:05
      • 5.27 Demo 2-Create a Table with Composite Key 14:16
      • 5.28 Demo 3-Collection Columns in Cassandra 00:05
      • 5.29 Demo 3-Collection Columns in Cassandra 03:32
      • 5.30 Quiz
      • 5.31 Summary 00:56
      • 5.32 Conclusion 00:08
    • Lesson 6 - Cassandra Interfaces 11:48
      • 6.1 Lesson 6-Cassandra Interfaces 00:11
      • 6.2 Course Map 00:12
      • 6.3 Objectives 00:28
      • 6.4 Cassandra Interfaces 00:32
      • 6.5 Cassandra Command Line Interface 01:02
      • 6.6 Cqlsh Options 00:53
      • 6.7 Cqlsh Commands 00:59
      • 6.8 Cqlsh Shell Commands 01:00
      • 6.9 Cqlsh Help 00:41
      • 6.10 Java Interfaces 00:48
      • 6.11 Using the Java Interface
      • 6.12 Querying Cassandra using Java 00:30
      • 6.13 Java Example 00:21
      • 6.14 Java Example (contd.) 00:24
      • 6.15 Full Program
      • 6.16 Compiling the Java Program 00:39
      • 6.17 Compiling the Java Program (contd.) 00:56
      • 6.18 Running the Java Program 00:39
      • 6.19 Java Interface observations 00:30
      • 6.20 ODBC Interface
      • 6.21 Quiz
      • 6.22 Summary 00:54
      • 6.23 Conclusion 00:09
    • Lesson 7 - Cassandra Advanced Architecture 21:19
      • 7.1 Cassandra Advanced Architecture and Cluster Management 00:14
      • 7.2 Course Map 00:13
      • 7.3 Objectives 00:23
      • 7.4 Partitioning 00:30
      • 7.5 Murmur3Partitioner 00:27
      • 7.6 RandomPartitioner 00:32
      • 7.7 ByteOrderedPartitioner 00:22
      • 7.8 Replication of Data 01:16
      • 7.9 Replication Strategy 00:37
      • 7.10 SimpleStrategy 01:01
      • 7.11 NetworkTopologyStrategy 01:04
      • 7.12 NetworkTopologyStrategy (contd.) 00:38
      • 7.13 Replication Example 01:05
      • 7.14 Tunable Consistency 01:25
      • 7.15 Read Consistency 01:22
      • 7.16 Write Consistency 01:24
      • 7.17 Read or Write Failure 01:07
      • 7.18 Hinted Handoff 00:41
      • 7.19 Time to Live 00:49
      • 7.20 Tombstones 00:56
      • 7.21 Monitoring the Cluster 00:58
      • 7.22 Nodetool Options 00:13
      • 7.23 Install and Configure OpsCenter 00:15
      • 7.24 Monitoring with OpsCenter 00:56
      • 7.25 Monitoring with OpsCenter (contd.) 00:51
      • 7.26 Administer using OpsCenter 00:41
      • 7.27 Quiz
      • 7.28 Summary 01:07
      • 7.29 Conclusion 00:12
    • Lesson 8 - Apache Ecosystem around Cassandra 18:05
      • 8.1 Apache Ecosystem around Cassandra 00:12
      • 8.2 Course Map 00:13
      • 8.3 Objectives 00:19
      • 8.4 Stream 00:45
      • 8.5 Apache Storm 00:24
      • 8.6 Storm Architecture 00:37
      • 8.7 Storm Architecture (contd.) 00:36
      • 8.8 Storm Data Model 00:43
      • 8.9 Storm Topology 01:08
      • 8.10 Storm Topology - Example 01:02
      • 8.11 Apache Kafka 00:21
      • 8.12 Kafka Data Model 00:25
      • 8.13 Kafka Data Model (contd.) 00:35
      • 8.14 Kafka Architecture 00:36
      • 8.15 Kafka Architecture (contd.) 00:29
      • 8.16 Kafka-Queue System 00:47
      • 8.17 Kafka-Publish-Subscribe System 00:54
      • 8.18 Real-Time Data Analysis Platform 00:45
      • 8.19 Real-Time Data Analysis Platform (contd.) 00:27
      • 8.20 Apache Spark 00:49
      • 8.21 Apache Spark Architecture 00:47
      • 8.22 Resilient Distributed Datasets 00:42
      • 8.23 Operations in Spark 01:06
      • 8.24 Spark and Scala 01:16
      • 8.25 Spark - Example 00:56
      • 8.26 Quiz
      • 8.27 Summary 01:05
      • 8.28 Thank you 00:06
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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

Course advisor

Ronald van Loon
Ronald van Loon Top 10 Big Data & Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author for a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

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.

  • What does it mean to be GSA approved course?

    The course is part of Simplilearn’s contract with GSA (only US) with special pricing for GSA approved agencies & organizations. To know more click here

  • How do i know if I am eligible to buy this course at GSA price?

    You should be employed with GSA approved agencies & organizations. The list of approved agencies is provided here

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