Geschäftsprozessmanagement und Portale sind aus der modernen Enterprise - IT nicht mehr wegzudenken. Beide Paradigmen haben bewiesen, dass sie in Unternehmen Wert schaffen können. Durch die Integration der beiden Ansätze lassen sich zusätzliche Vorteile erzielen.
Anhand typischer Use Cases aus der Praxis zeigen wir verschiedene Ebenen der Integration der Camunda BPM-Engine mit Liferay-Portal-Applikationen. Wir werden sehen, wie Geschäftsprozesse schneller vom Design zur technischen Ausführung gebracht und agil optimiert werden können. Wir demonstrieren, wie Fach-User durch Portale eine einheitliche Sicht auf alle ihre Geschäftsprozesse bekommen können und wie damit Service-Orchestrierung über Systemgrenzen hinweg gelingt, ohne dass der Nutzer das spürt.
Vortrag bei der JUG CH in Luzern. den größten Teil des Votrages hat allerdings die Live-Demo ausgemacht in der ein Prozessbeispiel von der Pike auf neu entwickelt habe. Wer das verpasst hat am besten den Getting Started Guide durchackern: http://camunda.org/get-started/developing-process-applications.html
Geschäftsprozessmanagement und Portale sind aus der modernen Enterprise - IT nicht mehr wegzudenken. Beide Paradigmen haben bewiesen, dass sie in Unternehmen Wert schaffen können. Durch die Integration der beiden Ansätze lassen sich zusätzliche Vorteile erzielen.
Anhand typischer Use Cases aus der Praxis zeigen wir verschiedene Ebenen der Integration der Camunda BPM-Engine mit Liferay-Portal-Applikationen. Wir werden sehen, wie Geschäftsprozesse schneller vom Design zur technischen Ausführung gebracht und agil optimiert werden können. Wir demonstrieren, wie Fach-User durch Portale eine einheitliche Sicht auf alle ihre Geschäftsprozesse bekommen können und wie damit Service-Orchestrierung über Systemgrenzen hinweg gelingt, ohne dass der Nutzer das spürt.
Vortrag bei der JUG CH in Luzern. den größten Teil des Votrages hat allerdings die Live-Demo ausgemacht in der ein Prozessbeispiel von der Pike auf neu entwickelt habe. Wer das verpasst hat am besten den Getting Started Guide durchackern: http://camunda.org/get-started/developing-process-applications.html
SEARCH ENGINE OPTIMIZATION - SEO: a contribuição do bibliotecário na otimizaç...EBAI
O artigo analisa a importância da aplicação dos procedimentos em Search Engine Optimization – SEO, fator que possibilita melhor posicionamento (ranking) dos websites nos mecanismos de busca da Web. Caracterizado como tendência na Internet, concentra seus esforços nas análises de conteúdo e no tratamento informacional. Destaca o procedimento de escolha e aplicação de palavras-chave para a representação do conteúdo eletrônico, uma das etapas da indexação utilizada pelos bibliotecários nos centros de informação tradicionais. Aborda a contribuição que o bibliotecário, como profissional da informação, pode oferecer nos aspectos que envolvem os procedimentos em SEO.
Apresentação de Adriano Mendes de Oliveira (FESPSP), Héber Terra Ferreira (FESPSP), Valdir Assis Casimiro (FESPSP)e Cibele Araújo Camargo Marques dos Santos (FESPSP) no 5º Encontro Brasileiro de Arquitetura de Informação - 2011 (www.congressoebai.org).
Part I: Introduction to Cloud Computing
- What is Cloud Computing?
- Classification of Cloud Computing
Part II: Introduction to Google App Engine
- What is Google App Engine?
- Why Google App Engine?
- Core APIs & Language Support
- Google App Engine for Business
- Google App Engine Customers
- Q&A
Cloud for Developers: Azure vs. Google App Engine vs. Amazon vs. AppHarborSvetlin Nakov
Software Development for the Public Cloud Platforms: Windows Azure vs. Google App Engine vs. Amazon Web Services (AWS) vs AppHarbor.
In this talk the speaker will compare the most widely used public PaaS clouds (Azure, GAE and AWS) from the software developer’s perspective.
A parallel between Azure, GAE, AWS and few other clouds (like AppHarbor, Heroku, Cloudfoundry and AppForce) will be made based on several criteria: architecture, pricing, storage services (non-relational databases, relational databases in the cloud and blob/file storage), business-tier services (like queues, notifications, email, CDN, etc.), supported languages, platforms and frameworks and front-end technologies.
A live demo will be made to compare the way we build and deploy a multi-tiered application in Azure, Amazon and GAE and how to implement its back-end (using a cloud database), business tier (based on REST services) and front-end (based on HTML5).
The speaker Svetlin Nakov (http://www.nakov.com) is well-known software development expert and trainer, a head of the Telerik Software Academy and a main organizer of the Cloud Development course (http://clouddevcourse.telerik.com).
Apache Kylin: OLAP Engine on Hadoop - Tech Deep DiveXu Jiang
Kylin is an open source Distributed Analytics Engine from eBay Inc. that provides SQL interface and multi-dimensional analysis (OLAP) on Hadoop supporting extremely large datasets.
If you want to do multi-dimension analysis on large data sets (billion+ rows) with low query latency (sub-seconds), Kylin is a good option. Kylin also provides seamless integration with existing BI tools (e.g Tableau).
Search Engines Demystified. The presentation covers about types of engines, search engine internal, comparative study, indexing, searching, information retrieval, inverted index, clustering, meta search engines, semantic search, search engine optimization, search evaluation, how to do search, search architecture and more.
Hive on spark is blazing fast or is it finalHortonworks
This presentation was given at the Strata + Hadoop World, 2015 in San Jose.
Apache Hive is the most popular and most widely used SQL solution for Hadoop. To keep pace with Hadoop’s increasingly vital role in the Enterprise, Hive has transformed from a batch-only, high-latency system into a modern SQL engine capable of both batch and interactive queries over large datasets. Hive’s momentum is accelerating: With Spark integration and a shift to in-memory processing on the horizon, Hive continues to expand the boundaries of Big Data.
In this talk the speakers examined Hive performance, past, present and future. In particular they looked at Hive’s origins as a petabyte scale SQL engine.
Through some numbers and graphs, they showed how Hive became 100x faster by moving beyond MapReduce, by vectorizing execution and by introducing a cost-based optimizer.
They detailed and discussed the challenges of scalable SQL on Hadoop.
The looked into Hive’s sub-second future, powered by LLAP and Hive on Spark.
And showed just how fast Hive on Spark really is.
[Video: http://www.youtube.com/watch?feature=player_detailpage&v=nzo9dcCMi-4#t=1169s ] Palestra que introduz o desenvolvimento de aplicativos na plataforma do Google de forma pragmática, apresentada na 5a. edição (2012) do Campus Party (#cpbr5)
Periodic Table of SEO Success Factors & Guide to SEO by SearchEngineLandSearch Engine Land
Updated in July 2013, SearchEngineLand.com's Periodic Table of SEO Success Factors is explained in a quick-start presentation format. Read the companion Guide to SEO, featuring nine chapters that explain the Periodic Table of SEO elements in more detail, perfect to use a beginner's guide and tutorial for getting started with search engine optimization.
The Periodic Table of SEO Success Factors
http://searchengineland.com/seotable
Read the Search Engine Land Guide to SEO:
http://searchengineland.com/guide/seo
Chapter 1: Types Of Search Engine Success Factors
http://searchengineland.com/guide/seo/types-of-search-engine-ranking-factors
Chapter 2: Content & Search Engine Success Factors
http://searchengineland.com/guide/seo/content-search-engine-ranking
Chapter 3: HTML Code & Search Engine Success Factors
http://searchengineland.com/guide/seo/html-code-search-engine-ranking
Chapter 4: Site Architecture & Search Engine Success Factors
http://searchengineland.com/guide/seo/site-architecture-search-engine-ranking
Chapter 5: Link Building & Ranking In Search Engines
http://searchengineland.com/guide/seo/link-building-ranking-search-engines
Chapter 6: Social Media & Ranking In Search Results
http://searchengineland.com/guide/seo/social-media-ranking-search-results
Chapter 7: Trust, Authority, Identity & Search Rankings
http://searchengineland.com/guide/seo/trust-authority-search-rankings
Chapter 8: Personalization & Search Engine Rankings
http://searchengineland.com/guide/seo/personalization-search-engine-rankings
Chapter 9: Violations & Search Engine Spam Penalties
http://searchengineland.com/guide/seo/violations-search-engine-spam-penalties
SEARCH ENGINE OPTIMIZATION - SEO: a contribuição do bibliotecário na otimizaç...EBAI
O artigo analisa a importância da aplicação dos procedimentos em Search Engine Optimization – SEO, fator que possibilita melhor posicionamento (ranking) dos websites nos mecanismos de busca da Web. Caracterizado como tendência na Internet, concentra seus esforços nas análises de conteúdo e no tratamento informacional. Destaca o procedimento de escolha e aplicação de palavras-chave para a representação do conteúdo eletrônico, uma das etapas da indexação utilizada pelos bibliotecários nos centros de informação tradicionais. Aborda a contribuição que o bibliotecário, como profissional da informação, pode oferecer nos aspectos que envolvem os procedimentos em SEO.
Apresentação de Adriano Mendes de Oliveira (FESPSP), Héber Terra Ferreira (FESPSP), Valdir Assis Casimiro (FESPSP)e Cibele Araújo Camargo Marques dos Santos (FESPSP) no 5º Encontro Brasileiro de Arquitetura de Informação - 2011 (www.congressoebai.org).
Part I: Introduction to Cloud Computing
- What is Cloud Computing?
- Classification of Cloud Computing
Part II: Introduction to Google App Engine
- What is Google App Engine?
- Why Google App Engine?
- Core APIs & Language Support
- Google App Engine for Business
- Google App Engine Customers
- Q&A
Cloud for Developers: Azure vs. Google App Engine vs. Amazon vs. AppHarborSvetlin Nakov
Software Development for the Public Cloud Platforms: Windows Azure vs. Google App Engine vs. Amazon Web Services (AWS) vs AppHarbor.
In this talk the speaker will compare the most widely used public PaaS clouds (Azure, GAE and AWS) from the software developer’s perspective.
A parallel between Azure, GAE, AWS and few other clouds (like AppHarbor, Heroku, Cloudfoundry and AppForce) will be made based on several criteria: architecture, pricing, storage services (non-relational databases, relational databases in the cloud and blob/file storage), business-tier services (like queues, notifications, email, CDN, etc.), supported languages, platforms and frameworks and front-end technologies.
A live demo will be made to compare the way we build and deploy a multi-tiered application in Azure, Amazon and GAE and how to implement its back-end (using a cloud database), business tier (based on REST services) and front-end (based on HTML5).
The speaker Svetlin Nakov (http://www.nakov.com) is well-known software development expert and trainer, a head of the Telerik Software Academy and a main organizer of the Cloud Development course (http://clouddevcourse.telerik.com).
Apache Kylin: OLAP Engine on Hadoop - Tech Deep DiveXu Jiang
Kylin is an open source Distributed Analytics Engine from eBay Inc. that provides SQL interface and multi-dimensional analysis (OLAP) on Hadoop supporting extremely large datasets.
If you want to do multi-dimension analysis on large data sets (billion+ rows) with low query latency (sub-seconds), Kylin is a good option. Kylin also provides seamless integration with existing BI tools (e.g Tableau).
Search Engines Demystified. The presentation covers about types of engines, search engine internal, comparative study, indexing, searching, information retrieval, inverted index, clustering, meta search engines, semantic search, search engine optimization, search evaluation, how to do search, search architecture and more.
Hive on spark is blazing fast or is it finalHortonworks
This presentation was given at the Strata + Hadoop World, 2015 in San Jose.
Apache Hive is the most popular and most widely used SQL solution for Hadoop. To keep pace with Hadoop’s increasingly vital role in the Enterprise, Hive has transformed from a batch-only, high-latency system into a modern SQL engine capable of both batch and interactive queries over large datasets. Hive’s momentum is accelerating: With Spark integration and a shift to in-memory processing on the horizon, Hive continues to expand the boundaries of Big Data.
In this talk the speakers examined Hive performance, past, present and future. In particular they looked at Hive’s origins as a petabyte scale SQL engine.
Through some numbers and graphs, they showed how Hive became 100x faster by moving beyond MapReduce, by vectorizing execution and by introducing a cost-based optimizer.
They detailed and discussed the challenges of scalable SQL on Hadoop.
The looked into Hive’s sub-second future, powered by LLAP and Hive on Spark.
And showed just how fast Hive on Spark really is.
[Video: http://www.youtube.com/watch?feature=player_detailpage&v=nzo9dcCMi-4#t=1169s ] Palestra que introduz o desenvolvimento de aplicativos na plataforma do Google de forma pragmática, apresentada na 5a. edição (2012) do Campus Party (#cpbr5)
Periodic Table of SEO Success Factors & Guide to SEO by SearchEngineLandSearch Engine Land
Updated in July 2013, SearchEngineLand.com's Periodic Table of SEO Success Factors is explained in a quick-start presentation format. Read the companion Guide to SEO, featuring nine chapters that explain the Periodic Table of SEO elements in more detail, perfect to use a beginner's guide and tutorial for getting started with search engine optimization.
The Periodic Table of SEO Success Factors
http://searchengineland.com/seotable
Read the Search Engine Land Guide to SEO:
http://searchengineland.com/guide/seo
Chapter 1: Types Of Search Engine Success Factors
http://searchengineland.com/guide/seo/types-of-search-engine-ranking-factors
Chapter 2: Content & Search Engine Success Factors
http://searchengineland.com/guide/seo/content-search-engine-ranking
Chapter 3: HTML Code & Search Engine Success Factors
http://searchengineland.com/guide/seo/html-code-search-engine-ranking
Chapter 4: Site Architecture & Search Engine Success Factors
http://searchengineland.com/guide/seo/site-architecture-search-engine-ranking
Chapter 5: Link Building & Ranking In Search Engines
http://searchengineland.com/guide/seo/link-building-ranking-search-engines
Chapter 6: Social Media & Ranking In Search Results
http://searchengineland.com/guide/seo/social-media-ranking-search-results
Chapter 7: Trust, Authority, Identity & Search Rankings
http://searchengineland.com/guide/seo/trust-authority-search-rankings
Chapter 8: Personalization & Search Engine Rankings
http://searchengineland.com/guide/seo/personalization-search-engine-rankings
Chapter 9: Violations & Search Engine Spam Penalties
http://searchengineland.com/guide/seo/violations-search-engine-spam-penalties
Fabula - Eine Gameengine für Lehre und Wissenschaft
1. Florian Berger Fabula - Eine flexible Game Engine
Florian Berger
Fabula - Eine flexible Game Engine
für Lehre und Forschung
Karl-Steinbuch-Stipendium 2010
Pädagogische
Hochschule Weingarten
2. Florian Berger Fabula - Eine flexible Game Engine
def process_TriesToMoveEvent(self, event, **kwargs):
"""Perform sanity checks on target and either confirm, reject or forward to Plugin.
"""
fabula.LOGGER.info("{0} -> {1}".format(event.identifier, event.target_identifier))
if not self.room.entity_dict[event.identifier].mobile:
fabula.LOGGER.info("'{}' is not mobile".format(event.identifier))
kwargs["message"].event_list.append(fabula.AttemptFailedEvent(event.identifier))
elif not self.tile_is_walkable(event.target_identifier):
fabula.LOGGER.info("{} not walkable".format(event.target_identifier))
kwargs["message"].event_list.append(fabula.AttemptFailedEvent(event.identifier))
else:
fabula.LOGGER.info("target clear, forwarding event to plugin")
kwargs["message"].event_list.append(event)
return
Pädagogische
Hochschule Weingarten
3. Florian Berger Fabula - Eine flexible Game Engine
Fokus: Action, 3D, Präsentation
Hohe Einstiegsschwelle
Komplizierte Anpassung
Pädagogische
Hochschule Weingarten
4. Florian Berger Fabula - Eine flexible Game Engine
Pädagogische
Hochschule Weingarten
5. Florian Berger Fabula - Eine flexible Game Engine
The Fabula Open Source Game Engine
Pädagogische
Hochschule Weingarten
6. Florian Berger Fabula - Eine flexible Game Engine
The Fabula Open Source Game Engine
- Abenteuer-, Strategie- und Rollenspiele
- mehrspielerfähig, Client-Server-Architektur
- Aufzeichnen von Spielabläufen
- gut dokumentiert und leicht anzupassen
- kostenlos verfügbar als Open Source (GPL)
- Linux, Windows, gern auch älter
Pädagogische
Hochschule Weingarten
7. Florian Berger Fabula - Eine flexible Game Engine
The Fabula Open Source Game Engine
Pädagogische
Hochschule Weingarten
8. Florian Berger Fabula - Eine flexible Game Engine
The Fabula Open Source Game Engine
Pädagogische
Hochschule Weingarten
9. Florian Berger Fabula - Eine flexible Game Engine
The Fabula Open Source Game Engine
Pädagogische
Hochschule Weingarten
10. Florian Berger Fabula - Eine flexible Game Engine
Fh
IT University of Copenhagen
FH Flensburg
Fraunhofer Institut für digitale Medientechnik,
Erfurt
researching games BarCamp,
Wiesbaden
VU University,
Hochschule RheinMain,
Amsterdam
Wiesbaden
E International Conference on E-Learning and Games,
Taipei, Taiwan
Pädagogische
Hochschule Weingarten
11. Florian Berger Fabula - Eine flexible Game Engine
researching games BarCamp 2011
Pädagogische
Hochschule Weingarten
12. Florian Berger Fabula - Eine flexible Game Engine
IT University of Copenhagen
Deutscher Akademischer
DAAD Austauschdienst
Pädagogische
Hochschule Weingarten
13. Florian Berger Fabula - Eine flexible Game Engine
Vielen Dank!
http://fabula-engine.org
fberger@florian-berger.de
http://florian-berger.de
Pädagogische
Hochschule Weingarten