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![What are Databases?
A database is an
organized collection
of structured
information, or data,
typically stored
electronically in a
computer system
[Source - Wikipedia]
Source – Pixabay.com](https://image.slidesharecdn.com/sqllesson01-introduction-250308062717-d0f77504/85/Data-Analytics-SQL-Lesson-01-Introduction-pptx-5-320.jpg)
Data Analytics - SQL Lesson 01 - Introduction.pptx
- 1. Structured Query Language (SQL) Lesson1 - Introduction
- 2. Topics Covered ▪ Whatis Data? ▪ What are Databases? ▪ Need of Databases ▪ Types of Databases ▪ How Data is Stored in Relational Databases? ▪ What is SQL? ▪ Why SQL? ▪ What is Data Science? ▪ Why is SQL required for Data Science?
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- 4. What is Data? ▪Derived from Latin word “datum” meaning single fact, entity or point of matter ▪ Data is collection of facts, information, or knowledge ▪ Examples – Twitter tweets – Company’s financial report – Newsletter – Sales data, Employee data, etc.
- 5. What are Databases? Adatabase is an organized collection of structured information, or data, typically stored electronically in a computer system [Source - Wikipedia] Source – Pixabay.com
- 6. Features of aDatabase ▪ Data are raw facts that constitute building blocks of information. ▪ Database is a collection of information and a means to manipulate data. It allows, – Easy – Fast access – Facilitate the processing of data.
- 7. Need of Databases ▪Data is easier to store ▪ Data is easier to manage ▪ Need multiple views of data ▪ Improved sharing of data ▪ High security of data ▪ Enforce quality data ▪ Better integrated data
- 8. Types of Databases 1960s TraditionalFiles 1970s Hierarchical Network based 1980s Relational 1990s 1. Object- Oriented 2. Object- Relational 2000s 1.Datawarehouse 2. Distributed Database 3. Big Data Data is Flat files Files stored in parent/child manner Data stored in tabular manner Data was created as objects Large data stored across networks
- 9. Types of databases ▪Relational Databases ▪ Hierarchical Databases ▪ Graph based Databases ▪ Operational Databases ▪ Distributed Databases ▪ Data Warehouse
- 10. Database Management System(DBMS) As per technopedia, A database management system (DBMS) is a software package designed to define, manipulate, retrieve and manage data in a database.
- 11. Source – BBCBitesize DBMS - Application
- 12. Relational Database Management System(RDBMS) Topic 2
- 13. Relational Database Management System(RDBMS) ▪ A relational database is a digital database based on the relational model of data, as proposed by E. F. Codd in 1970. ▪ A software system used to maintain relational databases is a relational database management system (RDBMS). ▪ A RDBMS consists of fields, tables and records. ▪ Structured Query Language (SQL) is used for querying and maintaining the database. ▪ Some popular RDBMS systems are MySQL, MS SQL Server, IBM DB2, Oracle, PostgreSQL, Microsoft Access, etc.
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- 15. Basic Elements ofRDBMS ▪ Tables – collection of rows and columns e.g. Customer table as shown ▪ Records or Tuple – represents each row of the table ▪ Fields or Column name or Attribute – are the columns of the table ▪ Keys – establishes relationship between tables e.g. Cust Number
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- 17. What is SQL? ▪SQL stands for Structured Query language, pronounced as "S-Q-L" or as "See- Quel". ▪ Initially developed @ IBM by Donald Chamberlin and Raymond Boyce (early 1970s) ▪ ANSI standard in 1986 and ISO standard in 1987 ▪ SQL skills are in popular demand in the industry ▪ SQL is the standard language for Relational Databases. ▪ SQL is used to create, insert, search, update and delete database records. ▪ SQL can do other operations including optimizing and maintenance of databases. ▪ Relational databases like MySQL, Oracle, MS SQL Server, Sybase, etc. use SQL.
- 18. Why SQL? ▪ Popularas it is easy to understand ▪ It is a declarative language ▪ Read and written similar to English language ▪ Directly accesses the stored data, hence it is very fast
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- 20. What is DataScience? Book on Prediction of Cancer Patient Outcomes Based on Artificial Intelligence - By Suk Lee, Eunbin Ju, etc.
- 21. How SQL fitsinto Data Science? ▪ Since data is at the core of Data Science, there is a frequent need to store and access data ▪ Data could be very large -- of the order of millions and billions data points ▪ Hence SQL is needed SQL
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- 23. Key Takeaways ▪ Datais a everywhere, hence databases are used to store and manage data ▪ Databases can be relational or non-relational ▪ The basic elements of a RDBMS are tables, rows, columns, keys ▪ SQL is a structured query language and a vital tool for accessing and manipulating data in the entire Data Science life cycle
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Editor's Notes
- #8 https://mhaadi.wordpress.com/2010/10/18/the-evolution-of-database/
- #20 Points to cover on these slides – Data Science Big Data – stored in various databases, formats, etc Data processing – where SQL can be used Analysis – where SQL can be used Machine Learning – the extracted data (using SQL, etc.) is used to build models, and models are used for prediction, etc.
- #22 Points to explain Data stored in various data sources are used by different groups like purchase, sales, etc. to perform various tasks like analysis, business intelligence, analytics, etc.