This document reviews key concepts in database theory including: what a database is, its components, and the different types of relationships between entities. It also discusses relational databases, the SQL language including its main components like DDL, DML, DQL, and DCL. Other topics covered include integrity constraints, normalization, and the advantages of normalization.
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Python for Data Science | Python Data Science Tutorial | Data Science Certifi...Edureka!
( Python Data Science Training : https://www.edureka.co/python )
This Edureka video on "Python For Data Science" explains the fundamental concepts of data science using python. It will also help you to analyze, manipulate and implement machine learning using various python libraries such as NumPy, Pandas and Scikit-learn.
This video helps you to learn the below topics:
1. Need of Data Science
2. What is Data Science?
3. How Python is used for Data Science?
4. Data Manipulation in Python
5. Implement Machine Learning using Python
6. Demo
Subscribe to our channel to get video updates. Hit the subscribe button above.
Check out our Python Training Playlist: https://goo.gl/Na1p9G
Introduction to the Structured Query Language SQLHarmony Kwawu
Our world depends on data in order to thrive. There are many different methods for storing data but the idea of relational database technology has proved the most advantageous. At the heart of all major relational database approach is the SQL, standing for Structured Query Language. SQL is based on set theory or relational principles.
Introduction to various data science. From the very beginning of data science idea, to latest designs, changing trends, technologies what make then to the application that are already in real world use as we of now.
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See my Paris applied psychology conference paper here
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or
https://prezi.com/view/KBP8JnekVH9LkLOiKY3w/
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I presented this at LSPE-IN meetup happened on 10th March 2018 at Walmart Global Technology Services.
In this slides discuss about the short introduction about Structured query language .. this slides is help for those students those study database relevant
Data preprocessing techniques
See my Paris applied psychology conference paper here
https://www.slideshare.net/jasonrodrigues/paris-conference-on-applied-psychology
or
https://prezi.com/view/KBP8JnekVH9LkLOiKY3w/
● Data Modeling and Data Models.
● Business Rules (Translating Business Rules into Data Model Components).
● Emerging Data Models: Big Data and NoSQL.
● Degrees of Data Abstraction (External, Conceptual, Internal and Physical model).
Data Analyst vs Data Engineer vs Data Scientist | Data Analytics Masters Prog...Edureka!
** Data Analytics Masters' Program: https://www.edureka.co/masters-program/data-analyst-certification **
** Data Scientist Masters' Program: https://www.edureka.co/masters-program/data-scientist-certification **
This Edureka PPT on "Data Analyst vs Data Engineer vs Data Scientist" will help you understand the various similarities and differences between them. Also, you will get a complete roadmap along with the skills required to get into a data-related career. Below topics are covered in this tutorial:
Who is data analyst, data engineer and data scientist?
Roadmap
Required skill-sets
Roles and Responsibilities
Salary Perspective
Follow us to never miss an update in the future.
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
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Exploratory data analysis in R - Data Science ClubMartin Bago
How to analyse new dataset in R? What libraries to use, and what commands? How to understand your dataset in few minutes? Read my presentation for Data Science Club by Exponea and find out!
In this presentation, let's have a look at What is Data Science and it's applications. We discussed most common use cases of Data Science.
I presented this at LSPE-IN meetup happened on 10th March 2018 at Walmart Global Technology Services.
In this slides discuss about the short introduction about Structured query language .. this slides is help for those students those study database relevant
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Review of theory of database
1. *Property of STI K0019
Review of Theory of
Databases
Review of Database Concepts
2. *Property of STI K0019
Review of Database
Concepts
What is a Database?
A database is a collection of logically related data.
Example: Personal information such as name, address, birthday
and gender
What is a Schema?
A schema or a database schema is the over-all design of a
database.
What is a Database System?
A database system is an automated system that enables users to
define, create, maintain and control access to the database.
3. *Property of STI K0019
Review of Database
Concepts
What are the components of the DBMS Environment?
Data
Hardware
Software
End Users
Procedure
4. *Property of STI K0019
Review of Database
Concepts
What are the different facilities that DBMS provide?
Users can define the database through a Data Definition
Language (DDL).
Users can manipulate data through a Data Manipulation
Language (DML).
DBMS can provide security system.
DBMS can provide an integrity system.
DBMS can provide a concurrency control system.
DBMS can provide a recovery control system.
5. *Property of STI K0019
Review of Database
Concepts
What are the different entity relationships?
One-to-One
6. *Property of STI K0019
Review of Database
Concepts
What are the different entity relationships?
One-to-Many
7. *Property of STI K0019
Review of Database
Concepts
What are the different entity relationships?
Many-to-One
8. *Property of STI K0019
Review of Database
Concepts
What are the different entity relationships?
Many-to-Many
9. *Property of STI K0019
Review of Database
Concepts
What is relational database?
A relational database is divided into logical units called
table which is composed of rows and columns of data.
10. *Property of STI K0019
Review of Database
Concepts
What is a relation?
A relation is composed of rows and columns of data.
What is an attribute?
In relational database, the table columns correspond to
attributes.
What is a domain?
A domain refers to a set of valid atomic values for a given
attribute.
What is a primary key?
A primary key refers to an attribute or field that serves as a
unique identifier for a particular record within a relation.
11. *Property of STI K0019
Review of Database
Concepts
What is SQL?
Structured Query Language (SQL) is the standard
language used to define, query, update and maintain
relational databases.
Main categories of SQL commands are as follows:
Data Definition Language (DDL)
Data Manipulation Language (DML)
Data Query Language (DQL)
Data Control Language (DCL)
Transactional control commands
12. *Property of STI K0019
Review of Database
Concepts
What is Data Definition Language (DDL)?
The DDL allows the user to create and restructure database
objects.
Some of the most fundamental DDL commands are:
CREATE TABLE
ALTER TABLE
DROP TABLE
CREATE INDEX
ALTER INDEX
DROP INDEX
CREATE VIEW
DROP VIEW
13. *Property of STI K0019
Review of Database
Concepts
What is Data Control Language (DML)?
DML allows the user to manipulate data within objects of
a relational database.
The three basic DML commands are
INSERT
UPDATE
DELETE
What is Data Query Language (DQL)?
DQL allows the user to select a data or a group of data.
The base command is SELECT
14. *Property of STI K0019
Review of Database
Concepts
What is Data Control Language (DCL)?
The DCL allows the user to create objects related to user
access and also control the distribution of privileges
among users.
Some data control commands are as follows:
ALTER PASSWORD
GRANT
REVOKE
CREATE SYNONYM
15. *Property of STI K0019
Review of Database
Concepts
What is Transactional Control Commands (TCC)?
The TCC allow the user to manage database
transactions.
Some commands are as follows:
COMMIT
ROLLBACK
SAVEPOINT
SET TRANSACTION
16. *Property of STI K0019
Review of Database
Concepts
What is Integrity Constraint?
Integrity constraints are used to ensure accuracy and
consistency of data in a relational database.
What are the types of integrity constraints?
Primary key Constraints
Unique Constraints
Foreign Key Constraints
Not Null Constraints
Check Constraints
17. *Property of STI K0019
Review of Database
Concepts
What is normalization?
Normalization is a process of reducing data
redundancy in a database.
The different levels of normal forms:
First Normal Form (1NF)
Second Normal Form (2NF)
Third Normal Form (3NF)
18. *Property of STI K0019
Review of Database
Concepts
What are the advantages of normalization?
Better overall database organization
Reduction of redundant data
Data consistency within the database
Flexible database design
Efficient database security handling
Enforces concept of referential integrity