The papers in this volume represent the technical program of the 9th Biennial WorkshoponDataBasesandProgrammingLanguages(DBPL2003), whichwas held on September 6-8, 2003, in Potsdam, Germany.
The workshop meets every two years, and is a well-established fo.
Georg Erdmann
Georg Vrachliotis
Wolfgang Georg
Georg Plattner
Georg Maximilian Stockinger
Georg Mohr
Georg Aumer
Georg Süß
Georg Wilhelm Keßler
Hans-Georg Dederer
Georg Schomerus
Georg Jacob Hesse
Georg Vrachliotis
Hans Georg Berger
Georg Spackeler
Georg Johannes Seifert
D. Georg Adlmaier-Herbst
Georg Baselitz
Thomas Georg Josef Vogtmeier
Georg Schwedt
Georg Braulik
Georg Jacob Hesse
Georg Wenzelburger
Georg Mende
Georg Braulik
Georg Schwedt
Georg Nitsche
Georg Friederici
Georg Schmid
Georg Marr
Georg Frebold
Georg Pommer
Georg Wolschin
Georg Marr
Hans-Georg von Arburg
Georg-Hinrich Hammer
Georg Wenzelburger
Georg Pfleiderer
Georg Purvis
Little feat may not be a household name, but they are well-known to a good number of musicians who are: keith richards rounded up the rolling stones to see them perform in amsterdam in 1975, robert plant publicly lamented their lack of success (as led zeppelin's soared into the stratosphere), and bob dylan and elton john saw them in concert whenever possible.
Georg Scheibelreiter
Hans-Georg Moeller
Georg Guillemin
Georg Lukács
Georg Simonis
Georg Publishing
Georg Publishing
Georg Ebers
Ramakrishnan
Raghu Ramakrishnan
Database management systems provides comprehensive and up-to-date coverage of the fundamentals of database systems.
Brian Rowe
Marleen Meier
David Mertz
John Bacon-Shone
Compositional data analysis (coda) refers to the analysis of all those vectors representing parts of a whole which only carry relative information.
Alison Balter
The power user book is targeted specifically toward those who have had previous versions of access and are ready to take your learning to a new level.
Marina Cocchi
Data fusion methodology and applications explores the data-driven discovery paradigm in science and the need to handle large amounts of diverse data.
Ulrika Jägare
All the answers to your data science questionsover half of all businesses are using data science to generate insights and value from big data.
Greg Schulz
Ken Blake
Ken Blake
Eric O. Johnson
Philipp Herzig
Rex Hogan
Fully updated and expanded from the previous edition, a practical guide to database design, second edition is intended for those involved in the design or development of a database system or application.
Joy Starks
Ensure students gain a thorough, applied understanding of critical database issues with starks/pratt/last's concepts of database management, 9e.
Berg
Hao Xu
Lars George
Shalin Hai-Jew
Filip Kruse
Based on case studies this book offers an insight in various european activities and practices in data management and their interaction with policies and programs.
Andreas Harth
With the growing popularity of the semantic web, more and more semantic data and data sources become available and accessible for everyone.
Cassidy R. Sugimoto
Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics.
David Roi Hardoon
Shuguang Cui
Utilising both key mathematical tools and state-of-the-art research results, this text explores the principles underpinning large-scale information processing over networks and examines the crucial interaction between big data and its associated communica.
Fausto Pedro García Márquez
This book focuses on the analytic principles of business practice and big data.
Shamkant B. Navathe
Nita Rutkosky
Nikos Karacapilidis
Jan L. Harrington
Relational database design and implementation: clearly explained, fourth edition, provides the conceptual and practical information necessary to develop a database design and management scheme that ensures data accuracy and user satisfaction while .
Peter Bühlmann
Handbook of big data provides a state-of-the-art overview of the analysis of large-scale datasets.
Thomas Erl
Julitta Korol
As part of the pocket primer series, this book was designed for someone like you who needs to master access programming fundamentals without spending too much time.
Abdelkader Hameurlain
This, the 25th issue of transactions on large-scale data- and knowledge-centered systems, contains five fully revised selected papers focusing on data and knowledge management systems.
Marcello Trovati
Thomas Erl
Tho H. Nguyen
An integrated, strategic approach to higher-value analytics leaders and innovators: how data-driven organizations are winning with analytics shows how businesses leverage enterprise analytics to gain strategic insights for profitability and .
Sunil Soares
A guide for business enterprises on how to manage and govern big data, covering such topics as categories of data governance tools, data modeling, analytics and reporting, data security, and evaluation criteria for data governance platforms..
Francesco Colace
This book contributes to illustrating the methodological and technological issues of data management in pervasive systems by using the databenc project as the running case study for a variety of research contributions: sensor data management, user-origina.
Jay Liebowitz
Don Loden
If you're ready to move past the basics and see what sap hana can really do, you'll want this book along for the ride.
Arun Jagatheesan
Olivier Curé
Ian Robinson
Discover how graph databases can help you manage and query highly connected data.
Shen Liu
Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropr.
Stanisław Kozielski
Bertram Ludäscher
This book constitutes the revised selected papers of the 5th international provenance and annotation workshop, ipaw 2014, held in cologne, germany in june 2014.
Tadeusz Morzy
Morzy Tadeusz
Paulo Leitão
Industrial agents explains how multi-agent systems improve collaborative networks to offer dynamic service changes, customization, improved quality and reliability, and flexible infrastructure.
Joel Grus
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science.
Pindaro E. Demertzoglou
This book is primarily intended for a training or educational environment in a college, university, or technical school.
EMC Education Services
Nikos Karacapilidis