Introducing the DBTech EXT Virtual Laboratories
With the support of the EC LLP Transversal Programme of the European Union
Disclaimer: This project has been funded with support from the European Commission. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.
Databases are needed everywhere in the modern information society, building the basis of all business critical applications requiring reliable, secure and scalable data access. The lack of knowledgeable database professionals in the European labour market is already a productivity problem that has led to failed and delayed application development projects in the industry.
The DBTech EXT project of DBTechNet, the European database teacher network (www.DBTechNet.org), has extended the work of the successful LdV project DBTech Pro of years 2002-2005, now as part of the EU LLP Transversal Programme KAY3: ICT. The Project was scheduled for the time from 1 Jan 2009 to 31 Dec 2010. In the following we introduce part of the project deliverables.
To support students and database professionals already in industry, we have prepared virtual laboratories suitable as self-study laboratories or live exercises on database courses. Instead of learning just from “PaperWare”, we believe in learning by doing, and especially learning by verifying using the real DBMS products, also used by the industry. Some of the virtual laboratories presented here have been organized as virtual laboratory workshops (VLW) in the DBTech Portal at http://dbtech.uom.gr
Public Deliverables of the DBTech EXT
(updated on 10 March 2011)
The ref numbers below are internal reference numbers of the deliverables in the DBTech EXT project plan.
DBTLab on Linux (ref 19)
To make at least part of the materials of the popular DBTech Pro live workshops available to public, to schools, individual students and database professionals in their own Life-Long Programmes, we provide downloadable private labs built of free or open source software and free professional, mainstream database systems, such as DB2 Express-C of IBM and Oracle XE of Oracle, available on multiple operating system platforms, including free Linux platforms. SQL Server Express of Microsoft is also freely available, but since it is available only on the proprietary Windows platforms of Microsoft, we cover its features and examples in our tutorials, but users need to build the SQL Server labs of their own.
These are the current downloadable Database Labs:
DB2 Express-C V9.7 on SUSE 10 Linux in VMware image based on the free virtual computer with DB2 V9.5 version available on IBM Web site. We have updated the DB2 Express-C version into V9.7 and installed there our Index Design Lab. For more details see our Index Design Lab tutorial below.
The ZIP file contains detailed documents and the virtual image of our Debian Linux based database laboratory DebianDB included as an OVA file, which can be imported either to VMware or VirtualBox.
This is the latest virtual lab where you can experiment with the free DBMS products: DB2 Express-C 9.7, Oracle 10g XE, MySQL 5, and PostgreSQL.
As default user logs in as “student” user, but switching to user “dba” (password “dbtech”) allows access to all DBMS products in the Lab.
Following snapshot presents students’ view on accessing Oracle XE from the Applications menu.
Other useful software available for experimenting in the Lab include Java, Eclipse, WebSphere CE application server, and free tools, such as Oracle Data Modeler, SQL Developer, etc
DBTLabs can be used as private labs on experimenting
with the appropriate examples and exercises of the following tutorials.
As a remote lab for experimenting with various SQL implementations we recommend http://SQLzoo.net
Virtual Laboratories covering topics of the DBTech Pro Framework
Concurrency Control (ref 22)
CCLab1 - Isolation Levels and Concurrency Technologies
SQL Concurrency Technologies tutorial presents overview on the concurrency topics covered in traditional textbooks, explaining the concurrency control concepts in terms of the SQL standard, and explaining how the real mainstream database systems, such as DB2, Oracle, and SQL Server, behave and what concurrency control services are available in context of SQL transaction processing and also context of cursor processing. A virtual laboratory based on this tutorial is available in DBTech Portal at http://dbtech.uom.gr
CCLab2 - TPCA2 Benchmark
In this lab, based on the old TPC-A benchmark of Transaction Processing Council (www.tpc.org), we will experiment with workload of concurrent transactions by multiple client sessions on accessing a simplified database of a bank application using the tutorial packed in http://www.dbtechnet.org/labs/ccr_lab/TPCA2.zip. We can experiment with
The original TPC-A benchmark was defined by Jim Gray in 1985. We have adapted our TPCA benchmark from the book "Client /Server Programming with JAVA and CORBA" by Orfali and Harkey.
CCLab3 - Data Access Patterns and RVV Discipline
Database textbooks and product manuals often forget the real data access needs of applications on implementing user transactions. A user transaction, based on use case requirements, will often need an interrelated sequence of SQL transactions, which may need to use different isolation levels. In the tutorial "RVV Paper" we will focus on use case transaction programming discipline of row version verifying, avoiding so called Blind Writes.
Database Administration and Tuning (ref 23)
Database implementations, security management, database backups and restore, monitoring and tuning operations are among the essential topics to understand and manage by a database administrator (DBA). Our tutorial on these topics is available at http://www.DBTechNet.org/labs/dba_lab/DBALabs.pdf
Backup and Recovery (moved from ref 22)
are among the
most important duties of a DBA. We
present an overview of generic database server instance and its database(s)
with transaction logs, principles of database backups and recovery in case of
hardware or software crashes, or other failures. Hands-on exercises will need use of some
local SQL Server instance. Tutorial is available at
Based on the DBTech Pro Index Design workshop, which we created with Tapio Lahdenmäki at Malaga University in 2004, and the book “Relational Database Index Design and the Optimizers” by Tapio Lahdenmäki and Michael Leach (Wiley 2005), we have prepared the workshop in the form of self-study VLW. Tutorial part of this workshop is available at http://www.DBTechNet.org/labs/idp_lab/IDPLabs.pdf
and the VMware based lab using DB2 Express-C on SUSE platform can be downloaded from
Business Intelligence (ref 24)
Business Intelligence (BI) & Knowledge Discovery from Databases (KDD)
An introduction to the practice of online analytical processing (OLAP), data warehousing, and knowledge discovery from databases (KDD). As outlined in the relevant DBTech EXT presentation, the BI & KDD virtual laboratory workshop (VLW) consists of two parts: (a) OLAP & Data Warehousing, and (b) Knowledge Discovery from Databases.
The OLAP & Data Warehousing part covers
the ETL process, the data warehousing architectures and their implementations,
OLAP operations, OLAP indexing, etc. The hands-on section of the VLW utilizes the PALO
The BI & KDD part focuses on the utilization of data mining techniques in the process of extracting information from large databases. After differentiating data from information, and after realizing the difference of applying SQL and data mining operations for information extraction purposes, the workshop participant learns about, and has the opportunity to apply in practice, a number of data mining techniques and algorithms (namely: association rules, decision trees, and clustering). In the course of the VLW, s/he also conducts the necessary data preparation operations, thus acquiring practical experience on the data (pre)processing stage which usually takes nearly 80% of the overall effort in the KDD process. The hands-on section of the VLW involves the utilization of both free (WEKA) and proprietary (IBM DB2 DWE Intelligent Miner) software. In relation with the latter, the VLW elaborates on the IBM-developed “Mining Your Business in Retail” tutorial. A virtual laboratory based on these tutorials is available in DBTech Portal at http://dbtech.uom.gr
** KDD (association rules)*** :
Association rule mining (theory)
http://www.dbtechnet.org/labs/kdd_lab/AnswersAssociationRulesWeka.pdf Association rule mining using Weka
In addition, the virtual VMware lab containing SUSE Linux, DB2 Express-C configured to work with Weka and some data. This and the instruction file (containing username/password) will be available at http://www.dbtechnet/download/
Business Intelligence Workshop
OLAP and Data Mining using SQL Server 2008 Analysis Services
To be available on downloadable virtual lab, which needs license activations (for example MSDN AA of the institution)
XML and Databases (ref 25)
XML and the Big Three
provides overview of the relevant XML technologies in the context of relational databases, the SQL/XML part of the SQL Standard, and the current XML implementations of the three mainstream database systems: DB2, Oracle and SQL Server. A virtual laboratory based on this tutorial is available in DBTech Portal at http://dbtech.uom.gr
Database Modeling and Semantics (ref 26)
tutorial on the methodology of designing and implementing a relational database using UML data modeling by Rational Rose Data Modeler 7.0.0 at
with exercises at
Database Reverse Engineering
Database Modeling is a critical process in software engineering. In the industry Database Reverse Engineering is used for creating documentation on existing databases (e.g., for improvement and maintenance of legacy systems) and porting database structures between different DBMS environments.
The tutorial consists of an overview and hands-on exercises on using a Database Reverse Engineering tool to port a database structure from one environment to another, modify the database structure, and reverse engineer the database to its conceptual schema.
Semantic Modeling with RDF
Semantic modeling means that the concepts of a certain domain are described in a formal way. In this paper, we shall explain semantic modeling using RDF. The acronym RDF comes from the terms Resource Description Framework. RDF is a data model and a World Wide Web Consortium (W3C) specification. The syntax of RDF is often expressed using XML. However, because RDF is a data model, also other syntactic representations besides XML are possible.
SPARQL and OWL
Tutorial introduction to semantic web and SPARQL and OWL specifications.
Sample demo on SPARQL using the Pyrrho DBMS implementation
see http://pyrrhodb.uws.ac.uk - Sample Code - SPARQL
http://www.dbtechnet.org/labs/sem_lab/SemanticWebAndDatabases.rar (rar archived,1.5 MB)
Database Access Patterns and OR-mapping (ref 27)
The materials of these live workshops are available in DBTech Portal at http://dbtech.uom.gr
ORM - Object-Relational Mapping
and instructions at
The Row Version Verification (RVV) Discipline, also called as “optimistic locking” in older literature, extends the concurrency context to series of SQL transactions in a use case (a user transaction) for avoiding Blind Overwriting problems.
The materials of these live workshops are available in DBTech Portal at http://dbtech.uom.gr
We have made our best to keep the downloadable labs and materials as reliable as possible. Since these materials are not commercial deliverables, and not aimed for production use, we will not accept any responsibility of potential problems raised on use of these materials. All materials are made as it is. In future we may setup discussion board were the authors may intervene the discussions for providing limited support and improving the materials.
Copyrights and Trademarks
We acknowledge all copyrights and trademarks, mentioned on these pages and materials, as copyrights or trademarks of their owners, such as Canonical Ltd., International Business Machines, Microsoft, Oracle, Sun, etc
For more information contact the coordinator of the DBTech EXT project
University of Applied Sciences
att: DBTech / M Laiho
00520 HELSINKI, Finland
web : www.haaga-helia.fi