Learn Big Data Testing with NoSQL using Cassandra and HBase
3.8 (18 ratings)
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Learn Big Data Testing with NoSQL using Cassandra and HBase

Big Data Testing - Cassandra and HBase with PIG Script
3.8 (18 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
650 students enrolled
Last updated 6/2017
English
Current price: $10 Original price: $30 Discount: 67% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 7.5 hours on-demand video
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • At the end of this course, students would be able to work on Cassandra queries.
View Curriculum
Requirements
  • Before starting this big data course students should have basic knowledge of any database i.e. SQL, Oracle, My SQL etc. To Practice cassandra, you should have 64 bit operating system more preferably Ubuntu machine.
Description

This Cassandra and HBase course is for Testing profile users who wanted to learn big data. 

This course is targeting the Testing profile uses who are willing to make his/her career in big data testing.

I have included all the possible materials which is needed by the tester to start with Cassandra and HBase tool i.e. from installation to write different queries in this.

After watching video user should be able to install, create queries in Cassandra and HBase tool. 

This tutorial can be really helpful for the beginner who has started learning Cassandra and HBase tool for working. 

The complete course would guide you through the complete Cassandra and HBase Testing with examples.

Who is the target audience?
  • This course is applicable for all testing profile users.
Students Who Viewed This Course Also Viewed
Curriculum For This Course
65 Lectures
07:21:08
+
Different Cassandra Concepts and Features
6 Lectures 31:43

In this session, students would get to know the agenda of this complete tutorial i.e. what all topics we are going to cover in this.

Preview 03:53

What is Big Data Testing Terminology?
08:58

In this video, user would get the details about Cassandra and its background.

Cassandra Overview
05:18


In this video, user would get the details about different No SQL Databases available in Big Data.

No SQL Database and different No SQL Types
08:22

Cassandra Practice Questions for Students
02:12
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Cassandra Installation
4 Lectures 35:44

In this video, user would get the details about Cassandra's system requirements and Cassandra's Installation Process.

Manual/Doc for Cassandra Systems Requirements and Installation Process
06:24

In this video, user would get the detailed information about the Cassandra Installation and required fill update on Ubuntu machine.

Cassandra Installation process on Ubuntu Machine
12:32

In this video, user would get the details about how to start the Cassandra Service on Ubuntu machine. Also, user would get the details about how to start the Cassandra terminal to create queries.

Cassandra Service and Cassandra Terminal Start on Ubuntu machine
09:23

In this session, students would get the detailed knowledge of how to create the Cassandra Cluster with step by step information on Ubuntu's Cassandra terminal.

How to Create Cassandra Cluster
07:25
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How to Work on Different Queries Available in Cassandra
7 Lectures 01:14:16

In this session, user would get to know about the various Cassandra Queries and their implementation/execution. We will see create table, insert values in table from terminal.

Preview 15:45

After completing this session, students would get to know the how they can Add New Column in Existing Cassandra table and how they can Remove the Existing column in Cassandra practically in project.

Preview 04:30

In this session, students would get the detailed information about how we can use/implement Update and Delete queries in Cassandra Database.

How to Use Update and Delete Queries in Cassandra
12:24

After completing this session, students would get to know the difference between Drop and Truncate available in Cassandra and how it used practically in project.

How to Implement Drop and Truncate in Cassandra
06:35

In this video, user would get the details about the Cassandra's Replication factor and its different types. Students would also get to know the real implementation on Cassandra terminal.

Cassandra Replication Factor and Implementation on Terminal
13:21

How to Load Data from Text and CSV file to Cassandra Table
09:09

In this session, students would get the detailed knowledge of different Cassandra data types with real practical example.

Different Cassandra Data Types with Practical Example
12:32
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Cassandra Collections
4 Lectures 27:03

Students would get the detailed and practical knowledge of the different collection types available in Cassandra and How List Collection is implemented.

Preview 06:03

Students would get the detailed and practical knowledge how Set Collection is implemented.

Set Type Collection
06:58

Students would get the detailed and practical knowledge how Map Collection is implemented.

Map Type Collection
06:32

Students would get the detailed and practical knowledge how Frozen Collection Type is implemented.

Frozen Collection Columns
07:30
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Cassandra's Background and History
6 Lectures 34:51

In this video, user would get the details about the different data support available i.e. Structured, Un-Structured and Semi Structured data.

Cassandra Data Suports
06:09

In this session, user would get to know about the single point of failure feature in detail for Cassandra tool.

Cassandra’s Single Point of Failure (SPOF) Support.
02:03

In this video, user would get the details about Cassandra Architecture and its key points.

Cassandra Architecture
09:11

In this session, students would get the detailed knowledge of CAP Theorem in detail and which CAP Theorem justify the Cassandra database.

Cassandra CAP Theorem Support
06:47

In this session, students would get the detailed knowledge of differences between different big data database i.e. Cassandra, Hive and HBase.

Difference Between Cassandra, Hive and HBase
07:41

Unix and Shell Scripting Practice Questions for Students
03:00
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Cassandra with JAVA API Implementation
2 Lectures 18:24

After this session, students would get the detailed knowledge of data insertion into Cassandra table from Text file using JAVA API. Also, Students would get to know the table creation in Cassandra using JAVA API.

Load Data From Text File Into Cassandra Table Using JAVA API
09:15

After this session, students would get the detailed knowledge of table creation in Cassandra using JAVA API and data insertion into Cassandra table using Insert INTO Query from JAVA API.

Create Table and Insert Data using Insert INTO Query from JAVA API
09:09
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HBase Features and Concepts
8 Lectures 54:35
HBase Practice Questions for Students
03:07

After completing this session, students would get the detail knowledge of what is HBase database and its overview.

What is HBase in Big Data Testing.
06:14

After this session, students would be able to understand the HBase architecture with diagram and each components in HBase architecture diagram in detail i.e. what is the component and why it needed.

HBase Arichitecture in Detail
09:33

After this session, students would get the detailed knowledge of why we should use HBase for our big data testing and on what basic we choose HBase database.

Why We Should Select HBase for Big Data Testing
03:43

After this session, students would get the detailed knowledge how they can install HBase on ubuntu terminal and how they can start the HBase service and HBase shell to write queries.

HBase Installation
15:31

After this session, students would get the detailed knowledge of the HBase table components and what is the importance of each components.

HBase Table Components
05:36

After this session, students would get the knowledge of ACID and CAP theorem and what is the importance of these theorem features. Also, what it is verified by the HBase internally.

ACID and CAP Theorem for HBase
06:59

After this session, students would get the differences between HDFS and HBase table.

Difference Between HDFS and HBase Table
03:52
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HBase Queries
7 Lectures 59:02

After this session, students would get to know the all important commands needed for HBase database testing. 

Preview 05:30

After this session, students would get to know the detailed knowledge of how they can create table in HBase database and how they can insert values in HBase database.

Preview 12:06

After this session, students would get the practical knowledge of how they can work with Delete, DeleteAll, Truncate and Alter queries in HBase table implementation. This session will guide them to work with different question with example as mentioned.

How to Work with Delete, DeleteAll, Truncate and Alter Queries
12:12

After this session, students would get to know what is delete and what is drop in Hbase database and how they can work using this queries practically.

Delete and Drop Table Query
11:06

After this session, students would get the knowledge of how they can start the HBase service and HBase shell on terminal. Also, they will get to know some default queries in HBase i.e. Status and version etc.

Start HBase Service, Shell and Different HBase Queries
05:24

After this session, students would get the knowledge of how they can Enable and Disable the Table practically. Also, they will get to know the Describe command in Hbase terminal.

How to Enable and Disable the Table and Describe Query implentation
06:51

After this session, students would get the detailed knowledge of Put, Get and Count command in HBase table and how it practically implemented.

How to work with Put, Get and Count Query inside Table
05:53
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HBase Filters
10 Lectures 41:19

After this session, students would get the knowledge of HBase filter queries i.e. KeyOnlyFilter And PrefixFilter.

Preview 06:10

After this session, students would get the knowledge of HBase filter queries i.e. PrefixFilter And ColumnPrefixFilter.

PrefixFilter and ColumnPrefixFilter Query
03:22

After this session, students would get the knowledge of HBase filter queries i.e. MultipleColumnPrefixFilter.

MultipleColumnPrefixFilter Query
02:41

After this session, students would get the knowledge of HBase filter queries i.e. ColumnCountGetFilter and FirstKeyOnlyFilter available in HBase database..

ColumnCountGetFilter and FirstKeyOnlyFilter Query
05:18

After this session, students would get the knowledge of HBase filter queries i.e. PageFilter available in HBase database.

PageFilter Query
02:56

After this session, students would get the knowledge of HBase filter queries i.e. InclusiveStopFilter available in HBase database.

InclusiveStopFilter Query
03:20

After this session, students would get the knowledge of HBase filter queries i.e. QualifierFilter available in HBase database.

QualifierFilter Query
03:43

After this session, students would get the knowledge of HBase filter queries i.e. MultipleColumnPrefixFilterValueFilter available in HBase database.

MultipleColumnPrefixFilter Using ValueFilter Query
02:42

After this session, students would get the knowledge of HBase filter queries i.e.

SingleColumnValueFilter available in HBase database.

SingleColumnValueFilter Query
03:22

After this session, students would get the knowledge of HBase filter queries i.e.

DependentColumnFilter and COLUMNS with Limit keyword available in HBase database.

DependentColumnFilter and More Columns Filters with Limit Keyword
07:45
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Pig Concepts
11 Lectures 01:04:11
Pig Scripting Practice Questions for Students
03:05

Pig Installation
07:36

Different Pig Shell Types
04:33


How to Verify Schema and MetaData?
02:55

How to work with Group By in Pig Script?
04:44

How to Filter Pig Script Data (Local Mode)?
08:11

How to Limit the Output?
03:00

How to Load Data in Pig from HDFS Environment and Query?
11:43

How to Filter Pig Script Data with Different Strings?
05:05

Automation Related Practice Questions for Students
03:43
About the Instructor
Big Data Module Lead QA Engineer Big Data QA
3.4 Average rating
201 Reviews
4,933 Students
12 Courses
Big Data QA Module Lead

Having more than 9 yrs industry experience.

Worked on different big data tools like Hadoop, Cassandra, HBase, Hive, Pig, Sqoop, Flume etc. 

ISTQB Certified professional. I have worked with CMMi level 5 companies and provided services to clients in fortune 15 companies like AT&T.

Trained more than 100 professionals in classroom training and more than 50 professionals online.

Training has been my passion and I am on my way to create courses which should help any beginner to step by step learn and be able to become a Big data QA expert.