2011-09-22 SLIDE 1IS 257 – Fall 2011 Referential Integrity and Database Design Recap: From Conceptual Design to Physical Relational Implementation University.

Slides:



Advertisements
Similar presentations
Chapter 10: Designing Databases
Advertisements

SLIDE 1IS 257 – Fall 2010 Physical Database Design and Referential Integrity University of California, Berkeley School of Information IS 257:
SLIDE 1IS 257 – Fall 2011 Referential Integrity and Database Design Recap: From Conceptual Design to Physical Relational Implementation University.
9/26/2000SIMS 257: Database Management Physical Database Design University of California, Berkeley School of Information Management and Systems SIMS 257:
SLIDE 1IS 257 – Fall 2006 Database Design: Logical Models: Normalization and The Relational Model University of California, Berkeley School.
SLIDE 1IS 257 – Spring 2004 Physical Database Design and Referential Integrity University of California, Berkeley School of Information Management.
SLIDE 1IS Fall 2002 Physical Database Design University of California, Berkeley School of Information Management and Systems SIMS 202:
SLIDE 1IS 257 – Fall 2008 Physical Database Design and Referential Integrity University of California, Berkeley School of Information IS 257:
1 Relational Model. 2 Relational Database: Definitions  Relational database: a set of relations  Relation: made up of 2 parts: – Instance : a table,
SLIDE 1IS 257 – Fall 2006 Physical Database Design and Referential Integrity University of California, Berkeley School of Information IS 257:
10/2/2001SIMS 257 – Database Management Database Design: From Conceptual Design to Physical Implementation - Relational Model University of California,
9/21/2000SIMS 257 – Database Management Database Design: From Conceptual Design to Physical Implementation University of California, Berkeley School of.
SLIDE 1IS 257 – Fall 2006 New Generation Database Systems: XML Databases University of California, Berkeley School of Information IS 257: Database.
Chapter 11 Data Management Layer Design
8/28/97Information Organization and Retrieval Database Design: Normalization University of California, Berkeley School of Information Management and Systems.
SLIDE 1IS 257 – Fall 2004 Database Design: Normalization and The Relational Model University of California, Berkeley School of Information.
SLIDE 1IS 257 – Fall 2009 Physical Database Design University of California, Berkeley School of Information I 257: Database Management.
9/28/2000SIMS 257: Database Management -- Ray Larson More on Physical Database Design and Referential Integrity University of California, Berkeley School.
Introduction to Structured Query Language (SQL)
8/28/97Information Organization and Retrieval Controlled Vocabularies: Name Authority Control University of California, Berkeley School of Information.
SLIDE 1IS 257 – Fall 2008 Database Design Recap: From Conceptual Design to Physical Relational Implementation University of California, Berkeley.
SLIDE 1IS Fall 2002 Database Design: From Conceptual Design to Physical Relational Implementation University of California, Berkeley.
SLIDE 1IS Fall 2002 Physical Database Design and Referential Integrity University of California, Berkeley School of Information Management.
SLIDE 1IS 257 – Spring 2004 Database Design: From Conceptual Design to Physical Relational Implementation University of California, Berkeley.
Chapter 8 Physical Database Design. McGraw-Hill/Irwin © 2004 The McGraw-Hill Companies, Inc. All rights reserved. Outline Overview of Physical Database.
10/3/2000SIMS 257: Database Management -- Ray Larson Relational Algebra and Calculus University of California, Berkeley School of Information Management.
IST Databases and DBMSs Todd S. Bacastow January 2005.
Chapter 6 Physical Database Design. Introduction The purpose of physical database design is to translate the logical description of data into the technical.
SLIDE 1I 257 – Fall 2014 Referential Integrity and Database Design Recap: From Conceptual Design to Physical Relational Implementation University.
Databases C HAPTER Chapter 10: Databases2 Databases and Structured Fields  A database is a collection of information –Typically stored as computer.
Copyright © 2003 by Prentice Hall Module 4 Database Management Systems 1.What is a database? Data hierarchy and data organization Field, record, file,
Systems analysis and design, 6th edition Dennis, wixom, and roth
DAY 15: ACCESS CHAPTER 2 Larry Reaves October 7,
Relational Database Concepts. Let’s start with a simple example of a database application Assume that you want to keep track of your clients’ names, addresses,
Introduction to SQL Steve Perry
9/9/1999Information Organization and Retrieval Database Design: From Conceptual Design to Physical Implementation University of California, Berkeley School.
Chapter 9 Designing Databases Modern Systems Analysis and Design Sixth Edition Jeffrey A. Hoffer Joey F. George Joseph S. Valacich.
TM 7-1 Copyright © 1999 Addison Wesley Longman, Inc. Physical Database Design.
Physical Database Design Chapter 6. Physical Design and implementation 1.Translate global logical data model for target DBMS  1.1Design base relations.
Normalization (Codd, 1972) Practical Information For Real World Database Design.
PowerPoint Presentation for Dennis, Wixom, & Tegarden Systems Analysis and Design with UML, 4th Edition Copyright © 2009 John Wiley & Sons, Inc. All rights.
DAY 12: DATABASE CONCEPT Tazin Afrin September 26,
Lecture2: Database Environment Prepared by L. Nouf Almujally & Aisha AlArfaj 1 Ref. Chapter2 College of Computer and Information Sciences - Information.
Chapter 17 Creating a Database.
FALL 2004CENG 351 File Structures and Data Management1 Relational Model Chapter 3.
7 1 Chapter 7 Introduction to Structured Query Language (SQL) Database Systems: Design, Implementation, and Management, Seventh Edition, Rob and Coronel.
Lecture2: Database Environment Prepared by L. Nouf Almujally 1 Ref. Chapter2 Lecture2.
6 1 Lecture 8: Introduction to Structured Query Language (SQL) J. S. Chou, P.E., Ph.D.
Database Management COP4540, SCS, FIU Physical Database Design (ch. 16 & ch. 3)
INFO1408 Database Design Concepts Week 15: Introduction to Database Management Systems.
Chapter 9 Logical Database Design : Mapping ER Model To Tables.
Database Basics BCIS 3680 Enterprise Programming.
Physical Database Design Purpose- translate the logical description of data into the technical specifications for storing and retrieving data Goal - create.
Chapter 8 Physical Database Design. Outline Overview of Physical Database Design Inputs of Physical Database Design File Structures Query Optimization.
Session 1 Module 1: Introduction to Data Integrity
9-1 © Prentice Hall, 2007 Topic 9: Physical Database Design Object-Oriented Systems Analysis and Design Joey F. George, Dinesh Batra, Joseph S. Valacich,
Copyright © 2009 Pearson Education, Inc. Publishing as Prentice Hall Chapter 9 Designing Databases 9.1.
PowerPoint Presentation for Dennis, Wixom, & Tegarden Systems Analysis and Design with UML, 5th Edition Copyright © 2015 John Wiley & Sons, Inc. All rights.
11-1 © Prentice Hall, 2004 Chapter 11: Physical Database Design Object-Oriented Systems Analysis and Design Joey F. George, Dinesh Batra, Joseph S. Valacich,
Database Planning Database Design Normalization.
Database Management Systems 3ed, R. Ramakrishnan and J. Gehrke1 The Relational Model Chapter 3.
SQL Basics Review Reviewing what we’ve learned so far…….
1 CS122A: Introduction to Data Management Lecture #4 (E-R  Relational Translation) Instructor: Chen Li.
CENG 351 File Structures and Data Management1 Relational Model Chapter 3.
1 Section 1 - Introduction to SQL u SQL is an abbreviation for Structured Query Language. u It is generally pronounced “Sequel” u SQL is a unified language.
Data Integrity & Indexes / Session 1/ 1 of 37 Session 1 Module 1: Introduction to Data Integrity Module 2: Introduction to Indexes.
Referential Integrity and Database Design Recap: From Conceptual Design to Physical Relational Implementation University of California, Berkeley School.
Physical Database Design and Referential Integrity
Teaching slides Chapter 8.
Physical Database Design
Presentation transcript:

SLIDE 1IS 257 – Fall 2011 Referential Integrity and Database Design Recap: From Conceptual Design to Physical Relational Implementation University of California, Berkeley School of Information IS 257: Database Management

SLIDE 2IS 257 – Fall 2011 Lecture Outline Review –Integrity constraints Database Design Process Recap Building Databases in MySQL with phpMyAdmin XML and databases – first look Next Week

SLIDE 3IS 257 – Fall 2011 Lecture Outline Review –Integrity constraints Database Design Process Recap Building Databases in MySQL with phpMyAdmin XML and databases – first look Next Week

SLIDE 4IS 257 – Fall 2011 Database Design Process Conceptual Model Logical Model External Model Conceptual requirements Conceptual requirements Conceptual requirements Conceptual requirements Application 1 Application 2Application 3Application 4 Application 2 Application 3 Application 4 External Model External Model External Model Internal Model Physical Design

SLIDE 5IS 257 – Fall 2011 Physical Database Design The primary goal of physical database design is data processing efficiency We will concentrate on choices often available to optimize performance of database services Physical Database Design requires information gathered during earlier stages of the design process

SLIDE 6IS 257 – Fall 2011 Btree F | | P | | Z | R | | S | | Z |H | | L | | P |B | | D | | F | Devils Aces Boilers Cars Minors Panthers Seminoles Flyers Hawkeyes Hoosiers

SLIDE 7IS 257 – Fall 2011 Comparative Access Methods Indexed No wasted space for data but extra space for index Moderately Fast Very fast with multiple indexes OK if dynamic OK if dynamic Easy but requires Maintenance of indexes Factor Storage space Sequential retrieval on primary key Random Retr. Multiple Key Retr. Deleting records Adding records Updating records Sequential No wasted space Very fast Impractical Possible but needs a full scan can create wasted space requires rewriting file usually requires rewriting file Hashed more space needed for addition and deletion of records after initial load Impractical Very fast Not possible very easy

SLIDE 8IS 257 – Fall 2011 Indexes Most database applications require: –locating rows in tables that match some condition (e.g. SELECT operations) –Joining one table with another based on common values of attributes in each table Indexes can greatly speed up these processes and avoid having to do sequential scanning of database tables to resolve queries

SLIDE 9IS 257 – Fall 2011 When to Use Indexes Rules of thumb –Indexes are most useful on larger tables –Specify a unique index for the primary key of each table (automatically done for many DBMS) –Indexes are most useful for attributes used as search criteria or for joining tables –Indexes are useful if sorting is often done on the attribute –Most useful when there are many different values for an attribute –Some DBMS limit the number of indexes and the size of the index key values –Some indexes will not retrieve NULL values

SLIDE 10IS 257 – Fall 2011 Disk Timing (and Problems) Rotational Delay Read Head fingerprint Hair Seek Positioning Delay

SLIDE 11IS 257 – Fall 2011 RAID Provides parallel disks (and software) so that multiple pages can be retrieved simultaneously RAID stands for “Redundant Arrays of Inexpensive Disks” –invented by Randy Katz and Dave Patterson here at Berkeley Some manufacturers have renamed the “inexpensive” part (for obvious reasons)

SLIDE 12IS 257 – Fall 2011 RAID-5 Parallel Writes Disk 2Disk 3Disk 4Disk ecc ecc * * Parallel Reads Stripe Raid 5 divides blocks across multiple disks with error correcting codes

SLIDE 13IS 257 – Fall 2011 Integrity Constraints The constraints we wish to impose in order to protect the database from becoming inconsistent. Five types –Required data –attribute domain constraints –entity integrity –referential integrity –enterprise constraints

SLIDE 14IS 257 – Fall 2011 Required Data Some attributes must always contain a value -- they cannot have a null For example: – Every employee must have a job title. –Every diveshop diveitem must have an order number and an item number.

SLIDE 15IS 257 – Fall 2011 Attribute Domain Constraints Every attribute has a domain, that is a set of values that are legal for it to use. For example: –The domain of sex in the employee relation is “M” or “F” Domain ranges can be used to validate input to the database.

SLIDE 16IS 257 – Fall 2011 Entity Integrity The primary key of any entity cannot be NULL.

SLIDE 17IS 257 – Fall 2011 Referential Integrity A “foreign key” links each occurrence in a relation representing a child entity to the occurrence of the parent entity containing the matching candidate key Referential Integrity means that if the foreign key contains a value, that value must refer to an existing occurrence in the parent entity For example: –Since the Order ID in the diveitem relation refers to a particular diveords item, that item must exist for referential integrity to be satisfied

SLIDE 18IS 257 – Fall 2011 Referential Integrity Referential integrity options are declared when tables are defined (in most systems) There are many issues having to do with how particular referential integrity constraints are to be implemented to deal with insertions and deletions of data from the parent and child tables.

SLIDE 19IS 257 – Fall 2011 Insertion rules A row should not be inserted in the referencing (child) table unless there already exists a matching entry in the referenced table. Inserting into the parent table should not cause referential integrity problems –Unless it is itself a child… Sometimes a special NULL value may be used to create child entries without a parent or with a “dummy” parent.

SLIDE 20IS 257 – Fall 2011 Deletion rules A row should not be deleted from the referenced table (parent) if there are matching rows in the referencing table (child). Three ways to handle this –Restrict -- disallow the delete –Nullify -- reset the foreign keys in the child to some NULL or dummy value –Cascade -- Delete all rows in the child where there is a foreign key matching the key in the parent row being deleted

SLIDE 21IS 257 – Fall 2011 Referential Integrity This can be implemented using external programs that access the database newer databases implement executable rules or built-in integrity constraints (e.g. Access)

SLIDE 22IS 257 – Fall 2011 Enterprise Constraints These are business rule that may affect the database and the data in it –for example, if a manager is only permitted to manage 10 employees then it would violate an enterprise constraint to manage more

SLIDE 23IS 257 – Fall 2011 Lecture Outline Review –Integrity constraints Database Design Process Recap Building Databases in MySQL with phpMyAdmin XML and databases – first look Next Week

SLIDE 24IS 257 – Fall 2011 Database Design Process Conceptual Model Logical Model External Model Conceptual requirements Conceptual requirements Conceptual requirements Conceptual requirements Application 1 Application 2Application 3Application 4 Application 2 Application 3 Application 4 External Model External Model External Model Internal Model

SLIDE 25IS 257 – Fall 2011 Today: New Design Today we will build the COOKIE database from (rough) needs assessment through the conceptual model, logical model and finally physical implementation in Access.

SLIDE 26IS 257 – Fall 2011 Cookie Requirements Cookie is a bibliographic database that contains information about a hypothetical union catalog of several libraries. Need to record which books are held by which libraries Need to search on bibliographic information –Author, title, subject, call number for a given library, etc. Need to know who publishes the books for ordering, etc.

SLIDE 27IS 257 – Fall 2011 Cookie Database There are currently 6 main types of entities in the database –Authors (Authors) Note: we created authors from the former design when talking about normalization (two weeks ago) –Books (bibfile) –Local Call numbers (callfile) –Libraries (libfile) –Publishers (pubfile) –Subject headings (subfile) –Additional entities Links between subject and books (indxfile) Links between authors and books (AU_BIB)

SLIDE 28IS 257 – Fall 2011 AUTHORS Author -- The author’s name (We do not distinguish between Personal and Corporate authors) Au_id – a unique id for the author

SLIDE 29IS 257 – Fall 2011 AUTHORS Authors Author AU ID

SLIDE 30IS 257 – Fall 2011 BIBFILE Books (BIBFILE) contains information about particular books. It includes one record for each book. The attributes are: –accno -- an “accession” or serial number –title -- The title of the book –loc -- Location of publication (where published) –date -- Date of publication –price -- Price of the book –pagination -- Number of pages –ill -- What type of illustrations (maps, etc) if any –height -- Height of the book in centimeters

SLIDE 31IS 257 – Fall 2011 Books/BIBFILE Books accno Title Loc Date Price Pagination Height Ill

SLIDE 32IS 257 – Fall 2011 CALLFILE CALLFILE contains call numbers and holdings information linking particular books with particular libraries. Its attributes are: –accno -- the book accession number –libid -- the id of the holding library –callno -- the call number of the book in the particular library –copies -- the number of copies held by the particular library

SLIDE 33IS 257 – Fall 2011 LocalInfo/CALLFILE CALLFILE Copies accno libid Callno

SLIDE 34IS 257 – Fall 2011 LIBFILE LIBFILE contain information about the libraries participating in this union catalog. Its attributes include: –libid -- Library id number –library -- Name of the library –laddress -- Street address for the library –lcity -- City name –lstate -- State code (postal abbreviation) –lzip -- zip code –lphone -- Phone number –mop - suncl -- Library opening and closing times for each day of the week.

SLIDE 35IS 257 – Fall 2011 Libraries/LIBFILE LIBFILE Libid SatCl SatOp FCl FOp ThCl ThOpWClWOpTuClTuOp Mcl MOp Suncl SunOp lphone lzip lstatelcity laddress Library

SLIDE 36IS 257 – Fall 2011 PUBFILE PUBFILE contain information about the publishers of books. Its attributes include –pubid -- The publisher’s id number –publisher -- Publisher name –paddress -- Publisher street address –pcity -- Publisher city –pstate -- Publisher state –pzip -- Publisher zip code –pphone -- Publisher phone number –ship -- standard shipping time in days

SLIDE 37IS 257 – Fall 2011 Publisher/PUBFILE PUBFILE pubid Ship Publisher pphone pzip pstate pcity paddress

SLIDE 38IS 257 – Fall 2011 SUBFILE SUBFILE contains each unique subject heading that can be assigned to books. Its attributes are –subcode -- Subject identification number –subject -- the subject heading/description

SLIDE 39IS 257 – Fall 2011 Subjects/SUBFILE SUBFILE Subject subid

SLIDE 40IS 257 – Fall 2011 INDXFILE INDXFILE provides a way to allow many- to-many mapping of subject headings to books. Its attributes consist entirely of links to other tables –subcode -- link to subject id –accno -- link to book accession number

SLIDE 41IS 257 – Fall 2011 Linking Subjects and Books INDXFILE ACCNO subid

SLIDE 42IS 257 – Fall 2011 AU_BIB AU_BIB provides a way to allow many to many mapping between books and authors. It also consists only of links to other tables –AU_ID – link to the AUTHORS table –ACCNO – link to the BIBFILE table

SLIDE 43IS 257 – Fall 2011 Linking Authors and Books AU_BIB ACCNO AU ID

SLIDE 44IS 257 – Fall 2011 Some examples of Cookie Searches Who wrote Microcosmographia Academica? How many pages long is Alfred Whitehead’s The Aims of Education and Other Essays? Which branches in Berkeley’s public library system are open on Sunday? What is the call number of Moffitt Library’s copy of Abraham Flexner’s book Universities: American, English, German? What books on the subject of higher education are among the holdings of Berkeley (both UC and City) libraries? Print a list of the Mechanics Library holdings, in descending order by height. What would it cost to replace every copy of each book that contains illustrations (including graphs, maps, portraits, etc.)? Which library closes earliest on Friday night?

SLIDE 45IS 257 – Fall 2011 Cookie ER Diagram AU_ID BIBFILE pubid LIBFILE INDXFILE accno SUBFILE libid CALLFILE pubid PUBFILE subcodeaccnosubcode libid accno AUTHORS AU_BIB accno AU ID Author Note: diagram contains only attributes used for linking

SLIDE 46IS 257 – Fall 2011 What Problems? What sorts of problems and missing features arise given the previous ER diagram?

SLIDE 47IS 257 – Fall 2011 Problems Identified Subtitles, parallel titles? Edition information Series information lending status material type designation Genre, class information Better codes (ISBN?) Missing information (ISBN) Authority control for authors Missing/incomplete data Data entry problems Ordering information Illustrations Subfield separation (such as last_name, first_name) Separate personal and corporate authors

SLIDE 48IS 257 – Fall 2011 Problems (Cont.) Location field inconsistent No notes field No language field Zipcode doesn’t support plus-4 No publisher shipping addresses No (indexable) keyword search capability No support for multivolume works No support for URLs –to online version –to libraries –to publishers

SLIDE 49IS 257 – Fall 2011 Original Cookie ER Diagram AU_ID BIBFILE pubid LIBFILE INDXFILE accno SUBFILE libid CALLFILE pubid PUBFILE subcodeaccnosubcode libid accno AUTHORS AU_BIB accno AU ID Author Note: diagram contains only attributes used for linking

SLIDE 50IS 257 – Fall 2011 BIBFILE pubid LIBFILE INDXFILE accno SUBFILE libid CALLFILE pubid PUBFILE subcodeaccnosubcode libid accno Cookie2: Separate Name Authorities nameid AUTHFILE AUTHBIB authtype accno authid nameauthid

SLIDE 51IS 257 – Fall 2011 Cookie 3: Keywords BIBFILE pubid LIBFILE INDXFILE accno SUBFILE libid CALLFILE pubid PUBFILE subcodeaccnosubcode libid accno KEYMAP TERMS accnotermid nameid AUTHFILE AUTHBIB authtype accno authid nameauthid

SLIDE 52IS 257 – Fall 2011 Cookie 4: Series SERIES seriesid ser_title BIBFILE pubid LIBFILE INDXFILE accno SUBFILE libid CALLFILE pubid PUBFILE subcodeaccnosubcode libid accno KEYMAP TERMS accnotermid nameid AUTHFILE AUTHBIB authtype accno authid nameauthid

SLIDE 53IS 257 – Fall 2011 Cookie 5: Circulation circid CIRC circidcopynumpatronid PATRON seriesid BIBFILE pubid LIBFILE INDXFILE accno SUBFILE libid CALLFILE pubid PUBFILE subcodeaccnosubcode libidaccno KEYMAP TERMS accnotermid SERIES seriesid ser_title nameid AUTHFILE AUTHBIB authtype accno authid nameauthid

SLIDE 54IS 257 – Fall 2011 Logical Model: Mapping to Relations Take each entity –Authors –BIBFILE –LIBFILE –CALLFILE –SUBFILE –PUBFILE –INDXFILE –AU_BIB And make it a table...

SLIDE 55IS 257 – Fall 2011 Implementing the Physical Database... For each of the entities, we will build a table… Loading data Entering data Data entry forms

SLIDE 56IS 257 – Fall 2011 Lecture Outline Review –Integrity constraints Database Design Process Recap Building Databases in MySQL with phpMyAdmin XML and databases – first look Next Week

SLIDE 57IS 257 – Fall 2011 Database Creation in phpMyAdmin Select database (not a table) Click Operations tab, –Enter table name and number of fields (attributes) –then click Go Fill in form for each attribute Helps to know what the primary key is, or if one is to be created automatically –Automatic creation is more complex in other RDBMS and ORDBMS, but pretty simple in MySQL Need to make decision about the physical storage of the data (data types, etc)

SLIDE 58IS 257 – Fall 2011 Lecture Outline Review –Integrity constraints Database Design Process Recap Building Databases in MySQL with phpMyAdmin XML and databases – first look Next Week

SLIDE 59IS 257 – Fall 2006 Why XML? As part of the SQL Standards there is an extension providing a mapping from XML to DBMS is being created called XML/SQL The (draft) standard is very complex, but the ideas are actually pretty simple Suppose we have a table called EMPLOYEE that has columns EMPNO, FIRSTNAME, LASTNAME, BIRTHDATE, SALARY

SLIDE 60IS 257 – Fall 2006 Standards: XML/SQL That table can be mapped to: John Smith … etc. …

SLIDE 61IS 257 – Fall 2006 Standards: XML/SQL In addition the standard says that XMLSchemas must be generated for each table, and also allows relations to be managed by nesting records from tables in the XML. Variants of this are incorporated into the latest versions of ORACLE and in MySQL But what if you want to deal with more complex XML schemas (beyond “flat” structures)?

SLIDE 62IS 257 – Fall 2006 Native XML Database (NXD) Native XML databases have an XML-based internal model –That is, their fundamental unit of storage is XML However, different native XML databases differ in What they consider the fundamental unit of storage –Document vs element or segment And how that information or its subelements are accessed, indexed and queried –E.g., SQL vs. Xquery or a special query language

SLIDE 63IS 257 – Fall 2006 Database Systems supporting XQuery The following database systems offer XQuery support: –Native XML Databases: Berkeley DB XML eXist MarkLogic Software AG Tamino Raining Data TigerLogic Documentum xDb (X-Hive/DB) (now EMC) –Relational Databases (also support SQL): IBM DB2 Microsoft SQL Server Oracle

SLIDE 64IS 257 – Fall 2006 Further comments on NXD Native XML databases are most often used for storing “document-centric” XML document –I.e. the unit of retrieval would typically be the entire document and not a particular node or subelement This supports query languages like Xquery –Able to ask for “all documents where the third chapter contains a page that has boldfaced word” –Very difficult to do that kind of query in SQL

SLIDE 65IS 257 – Fall 2011 Next Week I will be away Special Guest Lecturer Erik Wilde from EMC will be here providing an introduction to XML and Xpath, in preparation for the following week where we will take a look at XML Database, and have another Special Guest Lecturer – Jeroen van Rotterdam – to present Xquery and the xDB XML Database.