Mondrian - Geo Mondrian
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The document discusses Mondrian, an open source OLAP server written in Java. It can be used to develop a trajectory data warehouse and interactively analyze large datasets stored in SQL databases without writing SQL. Mondrian uses MDX and XML for querying and cube definition. It provides an OLAP view of relational data and enables fast, on-line analytical processing through aggregation and caching. GeoMondrian extends it with spatial/GIS data types and functions for geographical analysis.
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GeoServer Orientation
Welcome to GeoServer Orientation, this presentation takes a step back to help you find your way GeoServer.
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Bringing Geospatial Business Intelligence to the Enterprise
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Giving MongoDB a Way to Play with the GIS Community
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Generating Executable Mappings from RDF Data Cube Data Structure Definitions
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Integrating CAD and GIS Data at Mineta San Jose International Airport
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Similar to Mondrian - Geo Mondrian
Olap introduction
The document discusses OLAP (Online Analytical Processing) and data warehousing. It describes the typical 3-tier architecture of a DSS including a data warehouse database layer, OLAP engine application logic layer, and decision support client presentation layer. Additionally, it covers different types of OLAP including MOLAP, ROLAP, and HOLAP as well as popular OLAP servers and query languages like MDX.
Perchè potresti aver bisogno di un database NoSQL anche se non sei Google o F...
La presentazione di Luca Garulli
in occasione del Codemotion, Roma 5 marzo 2011 http://www.codemotion.it
Overview of atg framework
The document provides an introduction and overview of the Oracle ATG Commerce framework. It describes that ATG is an e-commerce software platform that provides solutions for merchandising, marketing, personalization and recommendations. It has a modular architecture built on a layered, component-based model. The key components of ATG include the Dynamo application framework, repositories for data access, droplets and form handlers for dynamic content, and tag libraries. ATG supports building scalable e-commerce applications through its flexible and reusable component model.
AWS November Webinar Series - Advanced Analytics with Amazon Redshift and the...
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology and Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools. The combination of the two can provide a solution to power advanced analytics for not only what has happened in the past, but make intelligent predictions about the future. Please join this webinar to learn how get the most value from your data for your data driven business.
Learning Objectives:
How to scale your Redshift queries with user-defined functions (UDFs)
How to apply Machine learning to historical data in Amazon Redshift
How to visualize your data with Amazon QuickSight
Present a reference architecture for advanced analytics
Who Should Attend:
Application developers looking to add UDFs, or predictive analytics to their applications, database administrators that need to meet the demand of data driven organizations, decision makers looking to derive more insight from their data
Data Mining for Developers
This document discusses the data mining add-ins for Excel 2007. It provides an overview of the data mining lifecycle and how the add-ins support understanding, preparing, modeling, and evaluating data. It also describes the core functionality of the add-ins for exploring, cleaning, and partitioning data as well as modeling, and advanced techniques like using DMX queries.
Building an Observability Platform in 389 Difficult Steps
Watch this Tech Talk: https://do.co/video_dworth
Dave Worth, Engineering Manager at Strava, lays out a strategy for choosing the right tech stack depending on your business and team need. Watch as he guides you through tool sets that navigate around business constraints and regulatory concerns.
About the Presenter
Dave Worth’s professional life consists of being a web and backend engineer who developed specialization in observability through building reliable distributed systems at Strava, and previously DigitalOcean. In his spare time, Dave loves cycling, jiu jitsu, and searching for another great math book to only read the first 50 pages of.
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Java one 2010
- The document summarizes key announcements and projects from JavaOne 2010, including Project Coin, Project Lambda, and Project Jigsaw which focus on language enhancements for productivity, closures, and modularity.
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PPT
The document provides an overview of developing a 3-tier web application using MySQL, JavaServer Pages (JSP), and Apache Tomcat. It discusses the architecture of a 3-tier system with separate data, application, and presentation tiers. It also provides information on using MySQL for the database tier, JSP and servlets for the application tier, and HTML/JSP for the presentation tier. The document gives examples of using MySQL commands and JSP tags and objects.
Best Practices for Building and Deploying Data Pipelines in Apache Spark
Many data pipelines share common characteristics and are often built in similar but bespoke ways, even within a single organisation. In this talk, we will outline the key considerations which need to be applied when building data pipelines, such as performance, idempotency, reproducibility, and tackling the small file problem. We’ll work towards describing a common Data Engineering toolkit which separates these concerns from business logic code, allowing non-Data-Engineers (e.g. Business Analysts and Data Scientists) to define data pipelines without worrying about the nitty-gritty production considerations.
We’ll then introduce an implementation of such a toolkit in the form of Waimak, our open-source library for Apache Spark (https://github.com/CoxAutomotiveDataSolutions/waimak), which has massively shortened our route from prototype to production. Finally, we’ll define new approaches and best practices about what we believe is the most overlooked aspect of Data Engineering: deploying data pipelines.
SQL Server 2008 Integration Services
SSIS provides capabilities for ETL operations using a control flow and data flow engine. It allows importing and exporting data, integrating heterogeneous data sources, and supporting BI solutions. Key concepts include packages, control flow, data flow, variables, and event handlers. SSIS can be optimized for scalability through techniques like parallelism, avoiding blocking transformations, and leveraging SQL for aggregations. Performance can be monitored using tools like SQL Server logs, WMI, and MOM. SSIS is interoperable with data sources like Oracle, Excel, and flat files.
OWB11gR2 - Extending ETL
The document discusses extending ETL capabilities to support heterogeneous and unstructured data sources. It describes customizing code templates to enable extracting data from various sources like databases, XML/CSV files, PDF documents, HTML files, and Microsoft SharePoint using web services. Specific examples provided include customizing platforms for non-Oracle databases, integrating PDF documents using metadata interfaces, and parsing HTML tables to extract tabular data.
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This document discusses layered architecture and repositories in domain-driven design. It covers topics like separating domain models from data models using repositories, implementing repositories to provide a collection-like interface for accessing domain objects, and differences between repositories and data access objects. The key points are that repositories mediate between the domain and data layers, encapsulate data access, and make the domain model independent of data access technologies and schemas.
Cloud State of the Union for Java Developers
This presentation provides a broad overview of what is going on in the Cloud computing world - for Java developers - presented on Dec 21st 2010 at the Atlanta Java Users Group - ajug.org - no audio was recorded.
ADL/U-SQL Introduction (SQLBits 2016)
The document discusses Azure Data Lake and U-SQL. It provides an overview of the Data Lake approach to storing and analyzing data compared to traditional data warehousing. It then describes Azure Data Lake Storage and Azure Data Lake Analytics, which provide scalable data storage and an analytics service built on Apache YARN. U-SQL is introduced as a language that unifies SQL and C# for querying data in Data Lakes and other Azure data sources.
Introduction To Pentaho Analysis
Pentaho Analysis provides interactive data analysis capabilities through components like the BI server, client tools, and Mondrian OLAP engine. It allows users to analyze data warehouses across dimensions like time, product, and customer. Key functionality includes an interactive web interface, scheduling, and sharing analysis views. Mondrian in particular provides fast response times, automated aggregation, and support for any JDBC data source through its OLAP capabilities like drilling and slicing.
Introduction To Pentaho Analysis
Pentaho Analysis provides interactive data analysis capabilities through components like the BI server, client tools, and Mondrian OLAP engine. It allows users to analyze data warehouses across dimensions like time, product, and customer. Key functionality includes an interactive web interface, scheduling, and sharing analysis views. Mondrian in particular provides fast response times, automated aggregation, and support for any JDBC data source through its OLAP capabilities like drilling and slicing.
Datastage Online Training @ Adithya Elearning
The document discusses the fundamentals and components of data warehousing and IBM WebSphere DataStage. It covers topics such as data warehousing architecture and lifecycle, data modeling, ETL processing, DataStage installation, job design, parallel job processing, DataStage components like Director and Administrator, data quality stages, and highlights of training on DataStage.
Make your gui shine with ajax solr
This document provides an overview and demonstration of using the AJAX Solr framework to build a dynamic graphical user interface (GUI) for a knowledge base search application. It summarizes the company background, requirements, and inspiration for modernizing the existing GUI using AJAX Solr. It then demonstrates the framework architecture, including the manager, parameter store, widgets, and theming components. Finally, it discusses best practices, challenges, performance, and provides references for more information.
Social media analytics using Azure Technologies
Social media are computer-mediated tools that allow people to create, share or exchange information, ideas, and pictures/videos in virtual communities and networks. To sum up Social Media is everything for your customers and Your company need to listen them to understand, make a custom offer or improve loyalty etc. Azure Stream Analytics and HDInsight platforms can solve this problem for you. We'll focus on how to get Twitter data using Stream Analytics and how to make data enrichment and storing using HDInsight and What is the problem about sentiment analytics using Azure Machine Learning.
AWS Summit Seoul 2015 - AWS 최신 서비스 살펴보기 - Aurora, Lambda, EFS, Machine Learn...
AWS Summit Seoul 2015 - AWS 최신 서비스 살펴보기 - Aurora, Lambda, EFS, Machine Learn...Amazon Web Services Korea
2015년 4월 21일 서울 코엑스에서 열렸던 AWS Summit Seoul 2015의 첫번째 트랙에서 Thomas Park 아마존 웹서비스 솔루션스 아키텍트 총괄이 발표한 자료입니다.Similar to Mondrian - Geo Mondrian (20)
Perchè potresti aver bisogno di un database NoSQL anche se non sei Google o F...
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Building an Observability Platform in 389 Difficult Steps
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AWS Summit Seoul 2015 - AWS 최신 서비스 살펴보기 - Aurora, Lambda, EFS, Machine Learn...
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More from Simone Campora
Vestige: Managing tags for #a4i
Good ideas come from many different sources. However,the majority of internauts is still anchored to the traditional web search engines.Internet is a fast growing space that grows by compartments and different data sources.Open-data are the emblematic example of this discontinuity: many data sources but no centralizing tools.Vestige is intended to fill this gap: a bridge between compartments.Its aim is to let users find their answers from heterogeneous data and collaborate to refine the results.
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This is the presentation of Vestige idea for Apps4Italy 2012 Contest. By Manh Luong Bui and Simone Campora
Oracle Spatial
Presentation of Oracle Spatial technologies and Spatial features in RDBMS of Advanced Databases course at EPFL, Autumn 2009.
ST-Toolkit, a Framework for Trajectory Data Warehousing
Presentation of ST-Toolkit: a Framework for trajectory Data warehousing short paper published in AGILE 2011, Utrecht 20th April 2011.
Trajectory Data Warehousing
This document discusses building a data warehouse for trajectory data from Rio de Janeiro's traffic department. It aims to integrate GPS data, extract information like traffic congestion and emissions, and allow queries on traffic conditions over time and space. The dataset includes GPS signals with location, time and speed, along with a street network segmentation. A star schema is used with dimensions for time and streets and a fact table of trajectory instances. Example queries show traffic correlations, congestion patterns over the week, and the most congested streets. While Oracle OLAP allows multi-dimensional aggregation and a SQL interface, its performance is slow and it lacks support for complex data types.
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ST-Toolkit, a Framework for Trajectory Data Warehousing
ST-Toolkit, a Framework for Trajectory Data Warehousing
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“I’m still / I’m still / Chaining from the Block”
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Video Streaming: Then, Now, and in the Future
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
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Neha Bajwa, Vice President of Product Marketing, Neo4j
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
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Climate Impact of Software Testing at Nordic Testing Days
My slides at Nordic Testing Days 6.6.2024
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Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
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Microsoft - Power Platform_G.Aspiotis.pdf
Revolutionizing Application Development
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Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
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This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
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Everything I found interesting about machines behaving intelligently during May 2024
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Everything I found interesting about the Elixir programming ecosystem in May 2024
Removing Uninteresting Bytes in Software Fuzzing
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
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Everything I found interesting about the irresponsible use of machine intelligence in May 2024
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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
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Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
AI 101: An Introduction to the Basics and Impact of Artificial Intelligence
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HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAU
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Climate Impact of Software Testing at Nordic Testing Days
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Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story
20240605 QFM017 Machine Intelligence Reading List May 2024
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GraphRAG for Life Science to increase LLM accuracy
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20240609 QFM020 Irresponsible AI Reading List May 2024
20240609 QFM020 Irresponsible AI Reading List May 2024
Mondrian - Geo Mondrian
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