Apache Cassandra Certification Training - Online Course | Simplilearn

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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 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 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)

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.

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