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Apache Cassandra Certification Training

Course Summary

The course enables you to understand the basic concepts of Cassandra including its features, architecture, data model, and Hadoop Ecosystem products around it. You will learn to install, configure, and monitor Cassandra. The course is best-suited for big data developers, software developers, and analytics professionals.


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    Course Syllabus


    Course preview

    Apache Cassandra

    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

    That was just a sneak-peak into the lesson.
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Course Fee:
USD 199

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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