CSSE 533 –
Database Systems
Week 1, Day 1
Steve Chenoweth
CSSE Dept
We’ll look at…
Your goals for the course
Course syllabus
Course schedule
Books
Data mining material
What we’ll do at meetings
What environment we’ll use (Mike’s)
Initial goals for PostgreSQL
What we’ll do at our second meeting
2
Your goals for the course
Suggestions (see also next page):
Learning about the two database systems
PostgreSQL
MongoDB
How these relate to your work
Learning about data mining
How these topics all relate to other projects you
are doing / want to do
Project scope you’d consider doing
3
What you said (Jan 20 emails)
Jon:
The areas that interest me with respect to Database Structures are as follows;
Database Design as it relates to Big Data and Machine Learning
Are these relational or flat mutually exclusive tables?
What are the suggested high performing designs with respect to the domain of machine
learning and big data
PL / SQL | Stored Procedures
I did some PL/SQL in college but would like to see what the latest trend is with regard to
stored procedures and the like for this space.
That’s all I can think of at the moment but didn’t want it to escape my head.
Mike:
I’m on board with learning more about stored procedures. I’m very familiar with a
lot of the details surrounding them, but I really only wrote them myself way back as
an undergrad. So that sounds like a fun itch to scratch.
I suppose that, at the moment, I don’t have anything in particular that I’d like to
learn about just yet. I’ll speak up if anything comes to me.
4
A few quick questions
What is Interactive Intelligence’s current use
of both these databases?
How are they (you) doing data mining now?
Can you latch onto whatever the internal
user groups are for these?
Can you get them interested in whatever
project you would like to do?
5
Course syllabus
Main goal – make it a chance to learn moe
about database systems you care about
And learn about using them for data mining
Left open – what the assignments would be,
and when due
Happy to take suggestions
Let’s look it over
6
Course schedule
I divided into –
Week 1 – figure out what we want to do
PostgreSQL – four weeks
MongoDB – four weeks
Data mining embedded in each of these
Week 10 – Project demos & lessons learned
7
Books
Both are handy dandy O’Reilly’s
Both are useful for practitioners who have a
larger role, like needing to do some systems
admin work.
Both assume you already know basic stuff
like SQL.
We could either:
Have reading assignments? Or,
Just use them as references?
8
Data mining material
There’s lots all over the Internet.
Basically, it’s a combination of:
The Machine Learning stuff we did last term,
and
Using database systems like these two, to get
the data, and
If you have really huge data, using tools like
Hadoop to run algorithms on many machines
at once.
9
What we’ll do at
meetings
Talk about the DBMS of interest.
Talk about how it can do data mining.
See demos of things you want to show.
Discuss issues and progress on projects.
What we’ll do each week – see next slide
10
What we’ll do at
meetings, cntd
What we’ll do each week –
For each DBMS, I divided the 4 weeks into these
parts:
Learning to use it –
Working on it with real data
See if you could get data you like to be formatted for
something you want to do.
Applying it to data mining
Try things and ask questions and make plans
Try applying some program or query to it.
Applying it to your project
Show how you could actually get something of value.
11
What environment we’ll
use (Mike’s)
Maybe tonight and/or Thursday are an intro
for the PostgreSQL installation?
Plus see what happens when we all try to
use it at the same time!?
Other considerations?
12
Initial goals for
PostgreSQL
Your goals for using this DB
What’s special about it, as you see this
(We’ll talk next week about what’s special
about it as the world sees it.)
Thursday – How it might fit with your project?
Other learning goals for it?
13
What we’ll do at our
second meeting
More details about your likely project.
Where it stands – e.g.,
Do you have data ready to try loading into
some schema on either DB?
What in particular might be doable as an
exercise in using PostgreSQL?
More initial demos?
14
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