diff --git a/slides/cse4562sp2018/2018-01-29-Intro.html b/slides/cse4562sp2018/2018-01-29-Intro.html
index b8ac46be..cad26877 100644
--- a/slides/cse4562sp2018/2018-01-29-Intro.html
+++ b/slides/cse4562sp2018/2018-01-29-Intro.html
@@ -48,7 +48,7 @@
Exploring Online Data Interactions
- 
+ 
@@ -62,7 +62,12 @@
- Why Study Databases?
+ Why Are Databases Awesome?
+
+
+
+ They're Everywhere
+ 
@@ -77,31 +82,31 @@
Headquarters |
- | 1 |  | Microsoft | 86.6 | 2017 | 601 | Redmond, WA, US |
+ 1 |  | Microsoft | 86.6 | 2017 | 601 | Redmond, WA, US |
- | 2 | | Oracle | 37.2 | 2017 | 205 | Redwood City, CA, US |
+ 2 | | Oracle | 37.2 | 2017 | 205 | Redwood City, CA, US |
- | 3 |  | SAP | 23.2 | 2017 | 117 | Walldorf, Germany |
+ 3 |  | SAP | 23.2 | 2017 | 117 | Walldorf, Germany |
- | 4 | | Salesforce.com | 8.4 | 2017 | 69 | San Francisco, CA, US |
+ 4 | | Salesforce.com | 8.4 | 2017 | 69 | San Francisco, CA, US |
- | 5 | | VMware | 6.7 | 2017 | 48 | Palo Alto, CA, US |
+ 5 | | VMware | 6.7 | 2017 | 48 | Palo Alto, CA, US |
- | 6 | | Fiserv | 5.3 | 2017 | 26 | Brookfield, WI, US |
+ 6 | | Fiserv | 5.3 | 2017 | 26 | Brookfield, WI, US |
- | 7 | | Adobe Systems | 5 | 2017 | 84 | San Jose, CA, US |
+ 7 | | Adobe Systems | 5 | 2017 | 84 | San Jose, CA, US |
- | 8 | | Symantec | 5.4 | 2017 | 19 | Mountain View, CA, US |
+ 8 | | Symantec | 5.4 | 2017 | 19 | Mountain View, CA, US |
- | 9 |  | Amadeus IT Holdings | 4.3 | 2017 | 25 | Madrid, Spain |
+ 9 |  | Amadeus IT Holdings | 4.3 | 2017 | 25 | Madrid, Spain |
@@ -121,22 +126,22 @@
- What is Databases?
+ What is "Databases"?
How do we ask and answer questions about data?
-
- - Efficiency
- - Accuracy
- - Summarization
- - Data Curation
+
+ - Efficiency
+ - Accuracy
+ - Summarization
+ - Data Curation
How do we manipulate and persist data?
-
- - Consistency
- - Correctness
- - Parallelism
+
+ - Consistency
+ - Correctness
+ - Parallelism
@@ -164,10 +169,24 @@
Data Consistency
-
+
+ Which Tools To Use
+ And When?
+
+
+
+ Template for 90% of Database Systems
+ For X, the best, correct choice is Y, at least when Z.
+
+ - How do you define Correct and Best?
+ - What correct alternatives are available?
+ - How do you find the best available alternative
+
+
+
@@ -185,12 +204,16 @@
Gokhan Kul (Practicum Lead)
William Spoth (Project TA)
Saurav Singhi (Concept TA)
+ Carl Nuessle (Ninja)
+ [ TBD ]
Syllabus and Projects
+ https://odin.cse.buffalo.edu/teaching/cse-462/
https://odin.cse.buffalo.edu/teaching/cse-562/
+ (same link)
Course Forum
https://piazza.com/buffalo/spring2018/cse4562/home
@@ -200,14 +223,14 @@
Course Structure
- - Concepts (50% of Grade)
-
+ - Concepts (50% of Grade; Lectures on Mon/Wed)
+
- Homework (10%; 12-15 Assignments, Keep Best 10)
- Midterm (20% or 15%)
- Comprehensive Final (20% or 25%)
- Practicum (50% of Grade)
-
+ - Practicum (50% of Grade; Lectures on Fri)
+
- Build a Relational Query Engine
- 3-Person Group Project
- 5 "Checkpoints"
@@ -219,6 +242,46 @@
+
+
+ Embedded Databases
+
+ - SQLite (In your browser, computer, phone, fridge...)
+ - Simple, Easy-To-Use Declarative Data Management
+ - Critical for future tech: Part of Mobile, IoT, Web
+
+
+ Your Startup: Build the next great Embedded Database
+
+
+
+ We give you...
+ Data (CSV Files)
+ Schema Information (CREATE TABLE)
+ Questions (SQL Queries)
+
+
+
You give us...
+
Answers
+
(really really fast)
+
Real World Challenge
+ You get graded on your code's...
+
+ - Correctness
+ - ~1/3 credit for getting the right answer.
+ - Performance
+ - ~2/3 credit for getting it reasonably fast.
+
+
+
+
+
Checkpoint 0: "Hello World"
5/50 pts
@@ -267,6 +330,147 @@
+
+
+
+
+ Ways to Fail
+
+ - Start your project at the last minute
+ - Don’t go to office hours
+ - Don’t ask questions on Piazza
+ - Wait until the deadline to submit for the first time
+ - Cheat
+
+
+
+
+ 
+
+
+
+ Academic Integrity
+ Cheating is submitting any work that you did not perform by yourself as if you did.
+
+
+
+ - References (when cited)
+ - Wikipedia, Wikibooks (or similar): OK
+
+ - Public Code
+ - Stack Exchange (or similar): Not OK
+
+ - Discussing concepts/ideas with classmates
+ - “A hash index has O(1) lookups”: OK (except during exams 😇 )
+
+ - Sharing code or answers with anyone
+ - “Just have a look at how I implemented it”: NOT OK
+ - For-hire code: NOT OK
+
+
+
+
+
+ MOSS
+ 
+
+
+
+ MOSS
+ 
+
+
+
+
+ - Zero Tolerance
+ - If I catch you submitting someone else’s code, you will fail the class.
+
+ - Group Responsibility
+ - If your teammate cheats on a group project, the entire group will be penalized.
+
+ - Share Code, Share Blame
+ - If someone else submits your code as their own, you will be penalized as well.
+
+
+
+
+
+
+
+
+
+
+ What does a Data Management System Do?
+
+
+
+
+ - Analysis: Answering user-provided questions about data
+ - What kind of tools can we give end-users?
+ - Declarative Languages
+ - Organizational Datastructures (e.g., Indexes)
+
+
+ - Manipulation: Safely persisting and sharing data updates
+ - What kind of tools can we give end-users?
+ - Consistency Primitives
+ - Data Validation Primitives
+
+
+
+
+
+
+
+ So let's talk structure...
+
+
+
+
+ - Primitive
+ - Basic building blocks like Int, Float, Char, String
+ - Tuple
+ - Several ‘fields’ of different types. (N-Tuple = N fields)
+ - A Tuple has a ‘schema’ defining each field
+ - Set
+ - A collection of unique records, all of the same type
+ - Bag
+ - An unordered collection of records, all of the same type
+ - List
+ - An ordered collection of records, all of the same type
+
+
+
+
+
+
+
+ Your data is currently an Unordered Set
+ of Tuples with 100 fields each.
+
+
+
+ Tomorrow, you’ll be repeatedly asked for 1 specific attribute
+ of 5 specific rows identified by the first attribute
+
+
+ Can you do better?
+
+
+
+ Better Idea: Rewrite data into a 99-Tuple of Maps keyed on the 1st attribute
+ This representation is equivalent and better for your needs.
+
+ Declarative specifications make it easier to find equivalences.
+
+
+
Exploring Online Data Interactions
-
+
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