EDUCBA

EDUCBA

MENUMENU
  • Free Tutorials
  • Free Courses
  • Certification Courses
  • 360+ Courses All in One Bundle
  • Login

Netezza Database

Home » Data Science » Data Science Tutorials » Database Management Tutorial » Netezza Database

Netezza Database

Introduction to Netezza Database

The Netezza database is a powerful data warehousing administrative tool. Normally any database is used to store data at some location, but problems may occur with store data that we call a bottleneck. But Netezza is provided with such a facility to maintain and control the allover process. Basically, warehouse appliances are built to handle the complex running databases as per our requirements. The warehouse appliances basically integrate all required components such as server, database, and storage at one location to easily handle them and deploy them. By using the Netezza database, we can accelerate the database speed or say the database’s performance. We can also use a field-programmable gate array to increase the performance of the database and reduce the bottleneck problem.

How does Netezza Database work?

Given below shows how the Netezza database works:

Start Your Free Data Science Course

Hadoop, Data Science, Statistics & others

  • Netezza is a committed information distribution center apparatus that utilizes an exclusive design called Asymmetric Massively Parallel Processing (AMPP) that joins open cutting edge based workers and plate stockpiling with a piece of restrictive information sifting measure utilizing field-programmable door exhibits (FPGAs). Netezza incorporates a data set, worker, and capacity, which are completely interconnected by an incredible organization texture into a solitary, simple to oversee framework that requires insignificant set-up and progressing organization, prompting more limited arrangement cycles and quicker an ideal opportunity to an incentive for business investigation.
  • Before we see about the information dispersion component, let us initially see how Netezza stores the information on the circle. Every Snippet Processor in the Snippet Processing Unit (SPU) has a committed hard drive, and the information on this drive is known as information cut. Each circle is separated into three parts: Primary (client information), Mirror, and Temp (moderate preparing information). All the client information and temp space from every essential parcel is duplicated to the mirror segment in another plate, which is called replication. Next, tables are parted across SPUs, and information cuts and the information is put away in bunches as per lines, while information is packed by indistinguishable section esteems (columnar pressure).
  • The real dispersion of information across plates is controlled by the conveyance key recorded as a feature of the table definition. There are two sorts of appropriation techniques, Hash and Random. In the event that the DISTRIBUTE ON condition isn’t indicated, the framework defaults to utilizing the main section as the Distribution segment, utilizing the hash calculation. For distributed databases, we can use either hash function or random.

Let’s see how we can set up the Netezza databases as follows.

First, we need to create the Data server of Netezza as follows.

A Netezza information server relates to a Netezza bunch associated with a particular Netezza client account. This client will approach a few information bases in this bunch, compared to the actual blueprints in Oracle Data Integrator made under the database server. Therefore, we need to follow the following steps as follows.

  • First, we need to assign the name of the data server; after that, we need to assign the physical name for the data server and user password as per our requirement.
  • In the second step, we need to create the physical schema for the Netezza database by using the standard procedure of Netezza.
    After setting up the Netezza database, we were able to integrate the project; we can use the reverse engineering concept to integrate the project and implement the Netezza Model.
  • In the final step, we need to design the interface of Netezza by using standard procedure.

Let’s see the different rules and guidelines to implement the Netezza database as follows.

  • We should empower the Pre 85 Timestamp Compatibility meeting property to perform target-side pushdown advancement on Netezza if the Netezza information base table contains a date, time, or timestamp section.
  • On the off chance that you handicap the alternative, the Integration Service measures the objective activity.
  • We can’t push change rationale to Netezza for an inactive associated or detached Lookup change.

Examples of Netezza Database

Given below are the examples of Netezza Database:

Example #1

First, let’s see how we can create the database as follows.

Popular Course in this category
Sale
SQL Training Program (7 Courses, 8+ Projects)7 Online Courses | 8 Hands-on Projects | 73+ Hours | Verifiable Certificate of Completion | Lifetime Access
4.5 (8,923 ratings)
Course Price

View Course

Related Courses
PL SQL Training (4 Courses, 2+ Projects)Oracle Training (14 Courses, 8+ Projects)

Code:

create database sample;

Explanation:

  • In the above example, we use to create database command to create a new database; here, we new database name as the sample as shown.
  • The final output of the above statement we illustrated by using the following screenshot as follows.

Output:

Netezza Database 1

Example #2

Now let’s see how we can drop the Netezza database as follows.

Code:

drop database sample;

Explanation:

  • In the above example, we use the drop database command to delete the existing database, where we need to delete the sample database as shown.
  • The final output of the above statement we illustrated by using the following screenshot as follows.

Output:

Netezza Database 2

Example #3

Netezza also provides the alter command to change the owner to database as well as we can rename the database name as follows.

Code:

alter database sample rename to demo;

Explanation:

  • In the above example, we try to rename the database name by using alter database command; in this example, we need to change the database sample to demo as shown.
  • The final output of the above statement we illustrated by using the following screenshot as follows.

Output:

alter command

Similarly, we can perform the other command same as SQL as per requirement.

Advantages and Disadvantages of Netezza Database

Given below are the advantages and disadvantages mentioned:

Advantages:

  • We can easily export the data into different files as per user requirements.
  • It provides monitor functionality to the user; that is, the user can view queries.
  • By using the Netezza database, we can handle a large number of data sets.
  • It is easy to manage.
  • It provides fast query processing.

Disadvantages:

  • In Netezza, we cannot execute some functions such as pivot, but this is what we can execute in the MySQL server.
  • We cannot directly delete the table; we must know the object name.
  • It is a high-cost product for small companies.

Conclusion

From the above article, we saw the basic concept of Netezza Database, and we also saw different examples of Netezza Database. From this article, we saw how and when we use the Netezza Database.

Recommended Articles

This is a guide to Netezza Database. Here we discuss the introduction, how Netezza database work? Examples, advantages and disadvantages. You may also have a look at the following articles to learn more –

  1. Data Warehouse Software
  2. Postgres Dump Database
  3. MongoDB Database
  4. MySQL Export Database

All in One Data Science Bundle (360+ Courses, 50+ projects)

360+ Online Courses

50+ projects

1500+ Hours

Verifiable Certificates

Lifetime Access

Learn More

0 Shares
Share
Tweet
Share
Primary Sidebar
Database Management Tutorial
  • DBMS
    • Introduction To DBMS
    • DBMS ER Diagram
    • What is DBMS?
    • DBMS join
    • DBMS Functions
    • Data Administrator in DBMS
    • DBMS Canonical Cover
    • DBMS Log-Based Recovery
    • DBMS Multivalued Dependency
    • Netezza Database
    • DBMS Concepts
    • DBMS Constraints
    • DBMS_Scheduler
    • B+ Tree in DBMS
    • DBMS_LOB
    • dbms entity
    • DBMS Foreign Key
    • DBMS Users
    • DBMS_Metadata.get_ddl
    • Relational Algebra in DBMS
    • DBMS Components
    • DBMS Features
    • DBMS Models
    • DBMS Relational Model
    • Hashing in DBMS
    • DBMS network model
    • Relationship in DBMS
    • ER Model in DBMS
    • Data Models in DBMS
    • Static Hashing in DBMS
    • Advantages of DBMS
    • dbms_output.put_line
    • DBMS Data Dictionary
    • dbms_xplan.display_cursor
    • Normal Forms in DBMS
    • DBMS helps achieve
    • DBMS 3 tier Architecture
    • Relational Calculus in DBMS
    • Serializability in DBMS
    • File Organization in DBMS
    • DBMS Transaction Processing
    • States of Transaction in DBMS
    • Functional Dependency in DBMS
    • Generalization in DBMS
    • Data Independence in DBMS
    • Lock Based Protocols in DBMS
    • Deadlock in DBMS
    • Integrity Constraints in DBMS
    • Concurrency Control in DBMS
    • Validation Based Protocol in DBMS
    • DBMS Locks
    • Normalization in DBMS
    • Transaction Property in DBMS
    • Specialization in DBMS
    • Aggregation in DBMS
    • Types of DBMS
  • DataBase Management
    • Text Data Mining
    • Roles of Database Management System in Industry
    • SQL Server Database Management Tools
    • Database administrator skills
    • Database Management Systems Advantages
    • Database Testing Interview Questions
    • Data Administrator
    • Database Administrator
    • Database Management Software
    • DataStage
    • Types of Database Models
    • Types of Database
    • Hierarchical Database Model
    • Relational Database
    • Relational Database Advantages
    • Operational Database
    • What is RDBMS?
    • What is DB2?
    • Data Masking Tools
    • Database Security
    • Data Replication
    • Bitmap Indexing
    • Second Normal Form
    • Third Normal Form
    • Fourth Normal Form
    • Data Definition Language
    • Data Manipulation Language
    • Data Control Language
    • Transaction Control Language
    • Conceptual Data Model
    • Entity-Relationship Model
    • Relational Database Model
    • Sequential File Organization
    • Checkpoint in DBMS
    • Teradata Create Table
    • Centralized Database
    • Data Storage in Database
    • Thomas write Rule
    • DBA Interview Questions
    • What is JDBC?
    • jdbc hive
    • Apriori Algorithm
    • JDBC Architecture
    • JDBC Interview Questions
    • Wildcard Characters
    • Distributed Database System
    • Multidimensional Database
  • PL/SQL
    • What is PL/SQL?
    • Careers in PL/SQL
    • PLSQL procedure
    • PL/SQL Exception
    • PL/SQL LIKE
    • PL/SQL Raise Exception
    • PLSQL rowtype
    • PLSQL? bind variables
    • PL/SQL Record
    • PL/SQL WITH
    • PL/SQL bulk collect
    • PL/SQL Block Structure
    • PL/SQL else if
    • PL/SQL nvl2
    • PL/SQL Package
    • PL/SQL exists
    • PL/SQL instr
    • PL/SQL listagg
    • PL/ SQL Formatter
    • PLSQLlength
    • PL/SQL Commands
    • PL/SQL Data Types
    • CASE statement in PL/SQL
    • PL/SQL IF Statement
    • Loops in PL/SQL
    • PL/SQL Add Column
    • For Loop in PLSQL
    • PL/SQL Cursor Loop
    • PLSQL Array
    • Cursors in PL/SQL
    • PL/SQL FOR Loop Cursor
    • PL/SQL Queries
    • PL/SQL SELECT INTO
    • PL/SQL TO_CHAR
    • PL/SQL UNION
    • PL/SQL NOT EQUAL
    • PL/SQL varray
    • PL/SQL Concatenate
    • PL/SQL UPDATE
    • PL/SQL TRIM
    • PL/SQL GROUP BY
    • PL/SQL GOTO
    • PL/SQL Date Functions
    • PL/ SQL having
    • PL/SQL to_DATE
    • PL/SQL NVL
    • PLSQL format date
    • PLSQL mod
    • PLSQL round
    • PL/SQL Boolean
    • PL/SQL exit
    • PL/SQL DECODE
    • PL/SQL ROWNUM
    • PLSQL?pivot
    • PLSQL string functions
    • PL/SQL Block
    • PL/SQL Function
    • PL/SQL Unwrapper
    • PL/SQL Table
    • PL/SQL ALTER TABLE
    • PLSQL execute immediate
    • Triggers in PL/SQL
    • PL/SQL Collections
    • PL/SQL stored procedure
    • PL/SQL Anonymous Block
    • PLSQL Interview Questions
  • TSQL Basic
    • TSQL
    • What is T-SQL
    • T-SQL Commands
    • T-SQL String Functions
    • TSQL Interview Questions
  • MariaDB
    • MariaDB Versions
    • MariaDB?list users
    • MariaDB Commands
    • MariaDB odbc
    • MariaDB Workbench
    • MariaDB for windows
    • MariaDB Server
    • MariaDB? Data Types
    • MariaDB?boolean
    • MariaDB phpMyAdmin
    • MariaDB Mysqldump
    • MariaDB Java Connector
    • MariaDB insert
    • MariaDB UPDATE
    • MariaDB? rename column
    • MariaDB AUTO_INCREMENT
    • MariaDB Timezone
    • MariaDB GROUP_CONCAT
    • MariaDB wait_timeout
    • MariaDB MaxScale
    • MariaDB? with
    • MariaDB? create?table
    • MariaDB? SHOW TABLES
    • MariaDB alter table
    • MariaDB List Tables
    • MariaDB JSON Functions
    • MariaDB Foreign Key
    • MariaDB? trigger
    • MariaDB Grant All Privileges
    • MariaDB Select Database
    • MariaDB? create database
    • MariaDB Delete Database
    • MariaDB List Databases
    • MariaDB Functions
    • MariaDB? TIMESTAMP
    • MariaDB create user
    • MariaDB add user
    • MariaDB show users
    • MariaDB Delete User
    • MariaDB? change user password
    • MariaDB? change root password
    • MariaDB reset root password
    • MariaDB IF
    • MariaDB bind-address
    • MariaDB Transaction
    • MariaDB Cluster
    • MariaDB Logs
    • MariaDB Encryption
    • MariaDB? backup
    • MariaDB Replication
    • MariaDB max_allowed_packet
    • MariaDB? performance tuning
    • MariaDB export database
    • MariaDB? import SQL
  • SQLite
    • What is SQLite
    • SQLite Commands
    • SQLite Data Types
    • SQLite COUNT
    • SQLite Boolean
    • SQLite autoincrement
    • SQLite select
    • SQLite? Bulk Insert
    • SQLite? add column
    • SQLite? concat
    • SQLite BETWEEN
    • SQLite group by
    • SQLite CASE
    • SQLite group_concat
    • SQLite array
    • SQLite? enum
    • SQLite sum
    • SQLite create table
    • SQLite Alter Table
    • SQLite Create Database
    • SQLite Delete
    • SQLite connection string
    • SQLite Database
    • SQLite Describe Table
    • SQLite Show Tables
    • SQLite exit
    • SQLite create index
    • SQLite foreign key
    • SQLite Stored Procedures
    • SQLite Extension
  • DB2
    • DB2? current date
    • DB2 purescale
    • DB2 backup
    • DB2 restore
    • DB2 C Express
    • DB2 Version
    • DB2? Architecture
    • DB2? Data Types
    • DB2? load
    • DB2? order by
    • DB2 date
    • DB2 NVL
    • DB2? update
    • DB2 warehouse
    • DB2 grant
    • DB2 database
    • DB2 VARCHAR
    • DB2? INSERT
    • DB2 LISTAGG
    • DB2 LIKE
    • DB2 TRUNCATE TABLE
    • DB2 LIST TABLES
    • DB2 between
    • DB2? current timestamp
    • DB2? length
    • DB2? bind
    • DB2 limit rows
    • DB2? export
    • DB2 with
    • DB2 Create Table
    • DB2 case statement
    • DB2 CAST
    • DB2 Functions
    • DB2 Date Functions
    • DB2? row_number
    • DB2 trim
    • DB2? Translate
    • DB2 UNION
    • DB2 timestamp
    • DB2? TIMESTAMPDIFF
    • DB2? replace
    • DB2 merge
    • DB2 COALESCE
    • DB2 ISNULL
    • DB2? explain
    • DB2 Join
    • DB2 alter column
    • DB2 rename column
    • DB2? Describe Table
    • DB2? rename table
    • DB2 List Databases
    • DB2 LUW
    • DB2 Query
    • DB2 GROUP BY
    • DB2 TO_DATE
    • View Serializability in DBMS
    • MariaDB Join
    • MariaDB JSON
    • MariaDB? show databases
    • Dataset Normalization
    • MariaDB Max Connections
    • jdbc connection
    • MariaDB GUI

Related Courses

SQL Certification Course

PL/SQL Certification Course

Oracle Certification Course

Footer
About Us
  • Blog
  • Who is EDUCBA?
  • Sign Up
  • Live Classes
  • Corporate Training
  • Certificate from Top Institutions
  • Contact Us
  • Verifiable Certificate
  • Reviews
  • Terms and Conditions
  • Privacy Policy
  •  
Apps
  • iPhone & iPad
  • Android
Resources
  • Free Courses
  • Database Management
  • Machine Learning
  • All Tutorials
Certification Courses
  • All Courses
  • Data Science Course - All in One Bundle
  • Machine Learning Course
  • Hadoop Certification Training
  • Cloud Computing Training Course
  • R Programming Course
  • AWS Training Course
  • SAS Training Course

© 2022 - EDUCBA. ALL RIGHTS RESERVED. THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

EDUCBA
Free Data Science Course

Hadoop, Data Science, Statistics & others

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Let’s Get Started

By signing up, you agree to our Terms of Use and Privacy Policy.

Loading . . .
Quiz
Question:

Answer:

Quiz Result
Total QuestionsCorrect AnswersWrong AnswersPercentage

Explore 1000+ varieties of Mock tests View more

EDUCBA Login

Forgot Password?

By signing up, you agree to our Terms of Use and Privacy Policy.

This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. By closing this banner, scrolling this page, clicking a link or continuing to browse otherwise, you agree to our Privacy Policy

EDUCBA

*Please provide your correct email id. Login details for this Free course will be emailed to you

By signing up, you agree to our Terms of Use and Privacy Policy.

Special Offer - SQL Certification Course Learn More