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2.1 Lecture 0 - Refresher
The course starts with a quick refresher on SQL and RDBMS’s:
Topics • Entities and relationships • SQL operators
2.2 Lecture 2 - indexes
The second lecture covers performance issues in (relational) queries and the potential to use indexes to speed-up execution of such queries:
Topics • Potentially slow query operators: where, join, etc. • Sorting data by value: hash-tables and hashing algorithms • Using a hash-index • Sorting data by value comparison: balanced trees • Using a tree-index
2.3 Lecture 3 - ACID
The third lecture covers the inflexible but precise framework of modern ACID (R)DBMS’s:
Topics • Transactions are integral: atomicity • Database maintains valid state: consistency • Transactions are serialized: isolation • Database cannot break: durability
2.4 Lecture 4 - Concurrency
The fourth lecture covers handling of potentially conflicting concurrent query execution in an ACID DBMS:
Topics • Serialization • Locks • Deadlocks and their prevention
2.5 Lecture 5 - Crash recovery
The fifth lecture covers handling of disastrous events:
Development 1 28 augustus 2015 4
COURSE DESCRIPTION HOGESCHOOL ROTTERDAM / CMI
Topics • Log • Write-ahead log • Checkpointing • Recovery from a system crash
2.6 Lecture 6 - BASE
The sixth lecture covers an alternative tradeoff to ACID:
Topics • Stay always connected: Basic availability • Acceptance of partially wrong states: Soft state • Slower propagation of updated information: Eventual consistency
2.7 Lecture 7 - Graph databases
The seventh lecture covers a specific example of no-SQL databases, specifically graph databases:
Topics • Directed vs undirected graphs • Adjacency list vs matrix • Algorithms on graphs • Case study: Neo4J

In Lecture 1.pdf, on the 6th page, the slide talks about redundancy in columns DNAME and DMGRSSN, but I've noticed that DNUMBER is also redundantly corresponding to DNAME and DMGRSSN.

Greetings.

There's no compiled version of assignment1.tex (https://github.com/hogeschool/INFDEV03-5/blob/master/2016-2017/assignment1.tex) in the build folder.

Specify clearly what aspects are graded for each practicum. Make a list for clarity. Each point of the list has a value of one. The sum of points is the score of the practicum (normalized to 25%).

• Specific practicum assignments description in modulewijzer move to appendix.
• A much shorter and general description stays, together with a general description of the exam and the grading process.

File: INFDEV03-5/Modulewijzer/build/Modulewijzer INFDEV03-5.pdf

There is a typo at slide 4, unit 5, at the title of it. Typo: "NOSLQ" -> "NOSQL"

There are multiple syntax errors in the sample examen solution for the map reduce.
The provided code contains the following snippets:

cars_map = function () {
    emit(this.owner_id, {plate: this.plate, model})
};

var result = {
    model: ""
    plates: []
}

The correct versions of these snippets are:

cars_map = function () {
    emit(this.owner_id, {plate: this.plate, model: this.model})
};

var result = {
    model: "",
    plates: []
}

• Example
• First take
• Retake
• Extra chance