This document outlines an online training presentation about data analytics using database management systems (DBMS). The agenda includes introductions, an overview of data analytics and DBMS, how to perform data analytics on DBMS using SQL, and a live practice session. The trainer will introduce themselves and their experience before discussing the components of understanding data, moving from data to intelligence, and different levels of data analysis. SQL and how it is used to interact with and retrieve data from DBMS will also be explained.

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Data analytics
with DBMS
PHPID online learning #55,
23 Feb 2021
Achmad Mardiansyah
achmad@glcnetworks.com
GLC Networks, Indonesia
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Agenda
● Introduction
● Data analytics
● DBMS
● Data analytics on DBMS
● Live practice
● Q & A
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introduction
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What is GLC?
● Garda Lintas Cakrawala (www.glcnetworks.com)
● Based in Bandung, Indonesia
● Areas: Training, IT Consulting
● Certified partner for: Mikrotik, Ubiquity, Linux foundation
● Product: GLC radius manager
● Regular event
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Trainer Introduction
● Name: Achmad Mardiansyah
● Base: bandung, Indonesia
● Linux user since 1999, mikrotik user since 2007, UBNT
2011
● Mikrotik Certified Trainer
(MTCNA/RE/WE/UME/INE/TCE/IPv6)
● Mikrotik/Linux Certified Consultant
● Website contributor: achmadjournal.com, mikrotik.tips,
asysadmin.tips
● More info:
http://au.linkedin.com/in/achmadmardiansyah
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Past experience
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● 2021 (Congo DRC, Malaysia): network support,
radius/billing integration
● 2020 (Congo DRC, Malaysia): IOT integration,
network automation
● 2019, Congo (DRC): build a wireless ISP from
ground-up
● 2018, Malaysia: network revamp, develop billing
solution and integration, setup dynamic routing
● 2017, Libya (north africa): remote wireless migration
for a new Wireless ISP
● 2016, United Kingdom: workshop for wireless ISP,
migrating a bridged to routed network

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About GLC webinar?
● First webinar: january 1, 2010 (title:
tahun baru bersama solaris - new year
with solaris OS)
● As a sharing event with various topics:
linux, networking, wireless, database,
programming, etc
● Regular schedule
● Irregular schedule: as needed
● Checking schedule:
http://www.glcnetworks.com/schedule
● You are invited to be a presenter
○ No need to be an expert
○ This is a forum for sharing: knowledge,
experiences, information
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Please introduce yourself
● Your name
● Your company/university?
● Your networking experience?
● Your mikrotik experience?
● Your expectation from this course?
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Data analytics
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Analytics vs analyses
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Components to understand data
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From data to intelligence
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Data analyses level
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The present is result from the past.
AND
The past the the key for the future.

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DBMS
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● Its a software that allows user to store data
● Data is stored in a structured way (table)
● Table can have relation to other table:
Relational DBMS (RDBMS)
● Very popular choice for application
● For some application, this RDBMS is
mandatory (finance, transaction)
● Example software: mariadb, postgresql,
oracle, SQL server, etc
● Use SQL language to interact with data
Database Management System (DBMS)
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Structured Query Language (SQL)
● Designed in the early 1970s at IBM to alter and retrieve data that is stored in
a RDBMS
● There is a standard for SQL set by ANSI (American National Standards
Institute), with updates released every ~3-5 years
● Each DBMS vendor has unique features → this lead to new commands that is
added on top of standard syntax.
● Many SQL syntax are common among vendors
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SQL syntax classification
● Data Definition Language (DDL)
○ define or modify data structures and objects, such as tables
○ Keywords: CREATE, ALTER (ADD, REMOVE), RENAME, DROP, TRUNCATE
● Data Manipulation Language (DML)
○ manipulate/display the data in the tables of a database
○ Keywords: SELECT, INSERT, UPDATE, DELETE
● Data Control Language (DCL)
○ manage the rights users have in a database
○ Keywords: GRANT, REVOKE
● Transaction Control Language (TCL)
○ To provide integrity SQL execution (all or nothing)
○ Used hand-in-hand with DML (insert, update, delete)
○ Keywords: BEGIN, COMMIT, ROLLBACK
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Data analytics with DBMS
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Data analytics
● Mostly used for reporting
● Mostly used keywords: SELECT
● We need to understand the data structure on table
● Can be used to feed other tools for further processing (statistics, machine
learning)
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How SQL SELECT is processed? (The BIG 6)
1. Getting Data (From, Join)
2. Row Filter (Where)
3. Grouping (Group by)
4. Group Filter (Having)
5. Return Expressions (Select)
6. Order & Paging (Order by & Limit
/ Offset)
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Source: smartmysql.com

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Aggregate functions
● Used in conjunction with GROUP BY
○ COUNT()
○ SUM()
○ AVG()
○ MIN()
○ MAX()
● Example:
SELECT rating, COUNT(film_id) as total_film
FROM film
GROUP BY rating
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View
● VIEW is a feature that is used to represent a query result (SELECT)
● A wrapping (abstraction) of a complex query
● Threat as normal table
● Readonly
● INSERT, UPDATE, DELETE is available
● Example:
CREATE VIEW vw_total_film_per_rating AS
SELECT rating, COUNT(film_id) as total_film
FROM film
GROUP BY rating
HAVING rating=’PG’
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Multiple table
analytics
We need to understand
the relationship between
tables:
● One-to-one
● One-to-many /
Many-to-one
● Many-to-many
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Multiple table analytics, JOIN
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Multiple table analytics, UNION
UNION is used to
append/combine data, as
long as they have same
number of coloms
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LIVE practice
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preparation
● SSH client
● SSH parameters
○ SSH address
○ SSH port
○ SSH username
○ SSH password
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Q & A
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Interested? Just come to our training...
● Topics are arranged in systematic and logical way
● You will learn from experienced teacher
● Not only learn the materials, but also sharing experiences, best-practices, and
networking
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End of slides
● Thank you for your attention
● Please submit your feedback: http://bit.ly/glcfeedback
● Like our facebook page: https://www.facebook.com/glcnetworks
● Slide: http://www.slideshare.net/r41nbuw
● Recording (youtube): https://goo.gl/28ABHU
● Stay tune with our schedule
● Any questions?
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