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  • 15 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

Course description

  • What is this course about?

    Apache CassandraTM is an open-source project and a second-generation distributed NoSQL database. It is the best choice for higher availability and scalability of the database. Cassandra supports replication across multiple datacenters. It makes the write and read processes highly scalable by offering tunable consistency.
    The Apache CassandraTM training course offered by Simplilearn provides an overview of the following:
    • Fundamentals of big data and NoSQL databases
    • Cassandra and its features
    • Architecture and data model of Cassandra
    • Installation, configuration, and monitoring of Cassandra
    • Hadoop ecosystem of products around Cassandra
    The Apache CassandraTM course offered by Simplilearn includes both online and classroom training. The courseware also includes demos for better understanding of the key concepts.

  • Why is this course popular?

    Apache CassandraTM course is popularly used in many companies across the world. Cassandra is in the forefront of the NoSQL origination, providing higher scalability and thus allowing companies to store petabytes of data.

    Cassandra is carefully designed to handle huge workloads across multiple datacenters, with not a single point of failure. This feature of Cassandra provides enterprises with greater database availability and performance. Cassandra is an open-source project, which allows you to use the source code and modify it as per your organizational requirements.

    As per the latest survey, the job prospective for Cassandra is growing at the rate of 300%.

  • What learning benefits do you get from Simplilearn’s Apache CassandraTM course?

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

  • What is the value of this course to the professionals?

    The Apache CassandraTM 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 take their organization towards 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 the next ten years

  • What are the career benefits of this course?

    The Apache CassandraTM certification helps IT professionals add weight to their profile, and typically earn more compared to their non-certified peers. The certified professionals can look for career paths such as Senior Software Professional, IT Consultants, Lead Software Professionals, and Database Administrators.

    The value of Apache CassandraTM has increased sharply in the recent years and this certification is fast 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 do this course?

    The following roles are suited to take the Apache CassandraTM course to enhance their skills and expertise:
    • Professionals aspiring for a career in NoSQL databases and Cassandra
    • Analytics professionals
    • Research professional
    • IT developers
    • Testers
    • Project managers
    Additionally, this qualification can also be taken by other aspirants and students, who wish to gain a thorough understanding of Apache CassandraTM.

Course preview

    • Lesson 0 - Course Overview 03:06
      • 0.1 Course Overview00:14
      • 0.2 Course Objectives00:25
      • 0.3 Course Overview00:33
      • 0.4 Target Audience00:25
      • 0.5 Course Prerequisites00:21
      • 0.6 Value to the Professionals00:37
      • 0.7 Lessons Covered00:22
      • 0.8 Conclusion00:09
    • Lesson 1 - Apache Cassandra L1 Overview Big Data and NoSQL Database 19:20
      • 1.1 Overview of Big Data and NoSQL Database00:13
      • 1.2 Course Map00:12
      • 1.3 Objectives00:23
      • 1.4 The 3 Vs of Big Data00:55
      • 1.5 Volume00:46
      • 1.6 Data Sizes-Terms00:32
      • 1.7 Velocity00:57
      • 1.8 Variety00:40
      • 1.9 Data Evolution00:42
      • 1.10 Features of Big Data00:57
      • 1.11 Big Data-Use Cases01:27
      • 1.12 Big Data Analytics00:55
      • 1.13 Traditional Technology vs. Big Data Technology01:06
      • 1.14 Apache Hadoop01:06
      • 1.15 HDFS01:04
      • 1.16 MapReduce00:50
      • 1.17 NoSQL Databases01:08
      • 1.18 Brewer’s CAP Principle00:59
      • 1.19 Approaches to NoSQL Databases-Types03:22
      • 1.20 Quiz
      • 1.21 Summary00:57
      • 1.22 Conclusion00:09
    • Lesson 2 - Introduction to Cassandra 17:16
      • 2.1 Introduction to Cassandra00:11
      • 2.2 Course Map00:12
      • 2.3 Objectives00:20
      • 2.4 Introducing Cassandra00:22
      • 2.5 Behind the Name00:23
      • 2.6 History of Cassandra00:54
      • 2.7 Main Features of Cassandra00:34
      • 2.8 When is Cassandra Used00:48
      • 2.9 Simple Cassandra Program00:36
      • 2.10 Cassandra Command Line Interface00:59
      • 2.11 Advantages of Cassandra00:43
      • 2.12 Limitations of Cassandra00:39
      • 2.13 VMware00:28
      • 2.14 Simplilearn Virtual Machine00:26
      • 2.15 PuTTY00:21
      • 2.16 WinSCP
      • 2.17 Demo-Install and Setup VM00:07
      • 2.18 Demo-Install and Setup VM08:12
      • 2.19 Quiz
      • 2.20 Summary00:52
      • 2.21 Conclusion00:09
    • Lesson 3 - Cassandra Architecture 22:37
      • 3.1 Cassandra Architecture00:12
      • 3.2 Course Map00:11
      • 3.3 Objectives00:21
      • 3.4 Architecture Requirements of Cassandra00:55
      • 3.5 Cassandra Architecture01:02
      • 3.6 Cassandra Architecture (contd.)00:24
      • 3.7 Effects of the Architecture01:03
      • 3.8 Cassandra Write Process01:11
      • 3.9 Rack00:55
      • 3.10 Cassandra Read Process01:20
      • 3.11 Example of Cassandra Read Process01:28
      • 3.12 Data Partitions01:15
      • 3.13 Replication in Cassandra01:00
      • 3.14 Network Topology01:43
      • 3.15 Snitches00:32
      • 3.16 Gossip Protocol01:09
      • 3.17 Seed Nodes00:49
      • 3.18 Configuration00:38
      • 3.19 Virtual Nodes01:19
      • 3.20 Token Generator00:56
      • 3.21 Example of Token Generator01:11
      • 3.22 Failure Scenarios Node Failure00:29
      • 3.23 Failure Scenarios Disk Failure00:30
      • 3.24 Failure Scenarios Rack Failure00:25
      • 3.25 Failure Scenarios Data Center Failure00:39
      • 3.26 Quiz
      • 3.27 Summary00:50
      • 3.28 Conclusion00:10
    • Lesson 4 - Cassandra Installation and Configuration 21:48
      • 4.1 Cassandra Installation and Configuration00:13
      • 4.2 Course Map00:12
      • 4.3 Objectives00:19
      • 4.4 Cassandra Versions00:54
      • 4.5 Steps to Install and Configure Cassandra on Ubuntu System00:42
      • 4.6 Step 1-Operating System Selection00:33
      • 4.7 Step 2-Machine Selection00:36
      • 4.8 Step 3-Preparing for Installation00:23
      • 4.9 Step 4-Setup Repository01:13
      • 4.10 Step 5-Install Cassandra00:38
      • 4.11 Step 6-Check the Installation00:58
      • 4.12 Step 7-Configuring Cassandra01:06
      • 4.13 Step 8-Configuration for a Single-Node Cluster00:53
      • 4.14 Step 9-Configuration for a Multi-Node and Multi-Datacenter Clusters00:38
      • 4.15 Step 10-Setup Property File01:15
      • 4.16 Step 11-Configuration for a Production Cluster00:34
      • 4.17 Step 12-Setup Gossiping Property File00:42
      • 4.18 Step 13-Starting Cassandra Services01:08
      • 4.19 Step 14-Connecting to Cassandra00:49
      • 4.20 Installing on CentOS01:10
      • 4.21 Demo-Installing and Configuring Cassandra on Ubuntu00:06
      • 4.22 Demo-Installing and Configuring Cassandra on Ubuntu05:37
      • 4.23 Quiz
      • 4.24 Summary00:59
      • 4.25 Conclusion00:10
    • Lesson 5 - Cassandra Data Model 54:04
      • 5.1 Cassandra Data Model00:11
      • 5.2 Course Map00:10
      • 5.3 Objectives00:18
      • 5.4 Cassandra Data Model00:34
      • 5.5 Cassandra Data Model Components00:52
      • 5.6 Keyspaces01:09
      • 5.7 Tables01:51
      • 5.8 Columns00:40
      • 5.9 UUID and TimeUUID00:49
      • 5.10 Counter01:01
      • 5.11 Compound Keys01:33
      • 5.12 Indexes00:43
      • 5.13 Collection Columns01:08
      • 5.14 Collection Columns Set01:09
      • 5.15 DDL and DML Statements00:28
      • 5.16 DDL Statements01:19
      • 5.17 DML Statements INSERT00:56
      • 5.18 DML Statements UPDATE01:33
      • 5.19 DML Statements COPY01:43
      • 5.20 DML Statements SELECT01:04
      • 5.21 SELECT Statements Restrictions01:04
      • 5.22 Valid and Invalid SELECT Statements Example01:19
      • 5.23 DML Statements DELETE00:57
      • 5.24 Demo 1-Data Definition and Data Manipulation Statements00:06
      • 5.25 Demo 1-Data Definition and Data Manipulation Statements12:25
      • 5.26 Demo 2-Create a Table with Composite Key00:05
      • 5.27 Demo 2-Create a Table with Composite Key14:16
      • 5.28 Demo 3-Collection Columns in Cassandra00:05
      • 5.29 Demo 3-Collection Columns in Cassandra03:32
      • 5.30 Quiz
      • 5.31 Summary00:56
      • 5.32 Conclusion00:08
    • Lesson 6 - Cassandra Interfaces 11:48
      • 6.1 Lesson 6-Cassandra Interfaces00:11
      • 6.2 Course Map00:12
      • 6.3 Objectives00:28
      • 6.4 Cassandra Interfaces00:32
      • 6.5 Cassandra Command Line Interface01:02
      • 6.6 Cqlsh Options00:53
      • 6.7 Cqlsh Commands00:59
      • 6.8 Cqlsh Shell Commands01:00
      • 6.9 Cqlsh Help00:41
      • 6.10 Java Interfaces00:48
      • 6.11 Using the Java Interface
      • 6.12 Querying Cassandra using Java00:30
      • 6.13 Java Example00:21
      • 6.14 Java Example (contd.)00:24
      • 6.15 Full Program
      • 6.16 Compiling the Java Program00:39
      • 6.17 Compiling the Java Program (contd.)00:56
      • 6.18 Running the Java Program00:39
      • 6.19 Java Interface observations00:30
      • 6.20 ODBC Interface
      • 6.21 Quiz
      • 6.22 Summary00:54
      • 6.23 Conclusion00:09
    • Lesson 7 - Cassandra Advanced Architecture 21:19
      • 7.1 Cassandra Advanced Architecture and Cluster Management00:14
      • 7.2 Course Map00:13
      • 7.3 Objectives00:23
      • 7.4 Partitioning00:30
      • 7.5 Murmur3Partitioner00:27
      • 7.6 RandomPartitioner00:32
      • 7.7 ByteOrderedPartitioner00:22
      • 7.8 Replication of Data01:16
      • 7.9 Replication Strategy00:37
      • 7.10 SimpleStrategy01:01
      • 7.11 NetworkTopologyStrategy01:04
      • 7.12 NetworkTopologyStrategy (contd.)00:38
      • 7.13 Replication Example01:05
      • 7.14 Tunable Consistency01:25
      • 7.15 Read Consistency01:22
      • 7.16 Write Consistency01:24
      • 7.17 Read or Write Failure01:07
      • 7.18 Hinted Handoff00:41
      • 7.19 Time to Live00:49
      • 7.20 Tombstones00:56
      • 7.21 Monitoring the Cluster00:58
      • 7.22 Nodetool Options00:13
      • 7.23 Install and Configure OpsCenter00:15
      • 7.24 Monitoring with OpsCenter00:56
      • 7.25 Monitoring with OpsCenter (contd.)00:51
      • 7.26 Administer using OpsCenter00:41
      • 7.27 Quiz
      • 7.28 Summary01:07
      • 7.29 Conclusion00:12
    • Lesson 8 - Apache Ecosystem around Cassandra 18:05
      • 8.1 Apache Ecosystem around Cassandra00:12
      • 8.2 Course Map00:13
      • 8.3 Objectives00:19
      • 8.4 Stream00:45
      • 8.5 Apache Storm00:24
      • 8.6 Storm Architecture00:37
      • 8.7 Storm Architecture (contd.)00:36
      • 8.8 Storm Data Model00:43
      • 8.9 Storm Topology01:08
      • 8.10 Storm Topology - Example01:02
      • 8.11 Apache Kafka00:21
      • 8.12 Kafka Data Model00:25
      • 8.13 Kafka Data Model (contd.)00:35
      • 8.14 Kafka Architecture00:36
      • 8.15 Kafka Architecture (contd.)00:29
      • 8.16 Kafka-Queue System00:47
      • 8.17 Kafka-Publish-Subscribe System00:54
      • 8.18 Real-Time Data Analysis Platform00:45
      • 8.19 Real-Time Data Analysis Platform (contd.)00:27
      • 8.20 Apache Spark00:49
      • 8.21 Apache Spark Architecture00:47
      • 8.22 Resilient Distributed Datasets00:42
      • 8.23 Operations in Spark01:06
      • 8.24 Spark and Scala01:16
      • 8.25 Spark - Example00:56
      • 8.26 Quiz
      • 8.27 Summary01:05
      • 8.28 Thank you00:06
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Exam & certification

  • What are the prerequisites to become a Certified Apache CassandraTM Professional?

    The prerequisites for the Apache CassandraTM 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 unlock my Simplilearn certificate?

    • Complete 85% of the course.
    • Complete 1 simulation test with a minimum score of 60%.

FAQs

  • How do I enroll for the online training?

    You can enroll for the online training through our website. You can make online payment using any of the following options:
    • Visa debit/credit card
    • American Express and Diners Club cards
    • Master Card
    • PayPal
    Once the online payment is done, you will automatically receive payment receipt, via email.

  • What will I get along with this training?

    In this training, you will have access to online e-learning and practice tests.

  • Can I cancel my enrollment? Do I get a refund?

    Yes! You can cancel your enrollment. We will provide you complete refund after deducting the administration fee. To know more, please go through our Refund Policy.

  • Do you provide 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 raise 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 raise 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 with us for a course by paying the course fee, you can have 24/7 access to the e-learning content on our website. An automated course purchase confirmation mail from our side will guide you through the process.

  • I am not able to access the online course. Whom should I contact for a solution?

    Please raise a request via our Help and Support portal to have your issue resolved.

  • I want to know more about the training program. Whom do I contact?

    Please join our Live Chat for instant support, call us, or Request a Call Back to have your query resolved.

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