business defination and otheres

1. MySQL for Data Analytics &
Business Intelligence
Presented by Dr. Eng. Lia Sadita

2. Lia
Peneliti Ahli Muda, Pusat Riset Sains Data
dan Informasi, BRIN
Dosen Tidak Tetap, Fakultas Ilmu
Komputer, UI
S-3, Dept. of Information Engineering,
Hiroshima University
S-2, Dept of HCI & Robotics, Korea Institute
of Science & Technology
S-1, Fakultas Ilmu Komputer, Universitas
Indonesia
Pekerjaan saat ini
Pendidikan

3. Outline
Intro to Database, SQL, MySQL
MySQL & Tableau
Basics SQL

4. Introduction to Database, SQL,
dan MySQL

5. What is SQL?

6. What is SQL?
Business Intelligence
Data Science
Database Administrator
Software Engineer
QA Tester
Researcher/Educator
Journalist

7. Retrieve Data

8. SQL: Structured Query Language
Data source Insights
a standard language for storing, manipulating and retrieving data in
databases.
SQL query

9. Why SQL?

10. Why SQL?
intuitive
easy to learn
powerful
can handle large
amount of data

11. Most Popular Technologies
(Stackoverflow, 2022)

12. SQL database vs Excel spreadsheets?
can process more data
can interact with many programming language
can connect to Internet

13. "It is an organized collection of
data, generally stored and
accessed electronically from a
computer system."
Database

14. History of SQL

15. Why MySQL?

16. Various Database Management System

17. reliable mature
open source
(free)

19. Structured Data (SQL) with an ACID transaction guarantee.
Horizontal Scalability is a key requirement, especially with Write
heavy data.
Multi-Master ACID transaction is a fundamental requirement.
Data Security is a key feature.
A converged database is required.
When to Use MySQL
Most Popular Databases

20. Basics SQL

21. Types of Programming
Procedural
Functional
Declarative (Non procedural)
Object Oriented
C, C++, Lisp, PHP, Python
C++, C#, Eiffel, Java, Kotlin, PHP,
Python, Ruby, Scala,
SQL, regular expressions, Prolog,
OWL, SPARQL, Datalog, XSLT
Clojure, CoffeeScript,Elixir,
Erlang, F#, Haskell,

22. SQL Commands
DDL DML
DCL
data DEFINITION language data MANIPULATION language
data CONTROL language
TCL
TRANSACTION CONTROL
language

23. Define the schema of
database or its objects
Create and modify the
structure of database objects
Manipulate and Select
data in Database
Rights, permissions,
and other controls of
the database system
Manage transactions
in Database

24. Stored Procedures
JOIN INDEXING
CONSRAINTS
BUILT IN FUNCTION

25. EMPLOYEE
SCHEMA

26. MySQL Installations
https://dev.mysql.com/downloads/mysql/
MySQL Server
MySQL Workbench

27. Data Analysis
Using MySQL
Counting rows and items - COUNT
Slicing Data
Extreme Values Identification - MIN, MAX
Aggregation Functions - SUM, AVG, STDDEV
Limiting Data
Sorting Data
Filtering Patterns
Grouping and Rolling up Data
Filtering in Groups

30. MySQL & TABLEAU

31. WHY combining MySQL with Tableau Public Is Useful?
great stored procedures great visualizations

32. Case Study
#1: Create a visualization that provides a breakdown
between the male and female employees working in the
company each year, starting from 1990.
#2: Compare the number of male managers to the
number of female managers from different departments
for each year, starting from 1990.

33. Connecting MySQL and Tableau
Method 1: Using Tableau’s MySQL connector
Method 2: Using ODBC to connect MySQL to Tableau
Method 3: Using Hevo, A No-Code Data Integration Platform
Method 4: Exporting MySQL data as CSV

35. Live Demo

36. Thank You