Piwik Analytics Platform

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Presentation of Piwik the open analytics platform, the core platform, APIs, plugins architecture, the marketplace, extending Piwik.

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Piwik analytics platform
Thomas Steur

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Thomas Steur
• Piwik Mobile App
• Piwik Core Developer
• since 2010
!
• @tsteur

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Sponsor love
http://www.mayflower.de

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Platform
Adjust Piwik to your needs and
the needs of your clients

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Tracking API Reporting API
HTTP HTTP

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HTTP Tracking API
http://developer.piwik.org/api-
reference/tracking-api

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HTTP Reporting API
http://developer.piwik.org/api-
reference/reporting-api

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http://demo.piwik.org/?module=API&
method=API.getPiwikVersion&
format=JSON
!
{value: "2.4.1"}

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Integrations
http://piwik.org/integrate

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Tracking API Reporting API
Plugins & Themes

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Marketplace
http://plugins.piwik.org

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One-click installation

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Custom Plugins
./console generate:plugin

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• Tracking
• Reports
• Visualizations
• Auth / Login
• API
• Scheduled Tasks
• Settings
• …

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We try to design APIs and
common use cases as simple as
possible with the possibility to add
complexity step by step if needed.

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Piwik on the command line
http://developer.piwik.org/guides/
piwik-on-the-command-line

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./console generate:scheduledtask

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Development tools
./console development:enable --full

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VisitorGenerator
Generate visits, goals, users,
websites, annotations

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Themes
http://developer.piwik.org/guides/
theming

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./console generate:theme

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Publishing a plugin or theme on the Marketplace

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When publishing a plugin
• Provide a good description
• Provide a license and contact details
• Provide screenshots
• Provide donation links (PayPal, Flattr, …)
• http://developer.piwik.org/guides/distributing-your-plugin

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Database
http://developer.piwik.org/guides/
persistence-and-the-mysql-
backend

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Config
http://developer.piwik.org/guides/
piwiks-ini-configuration

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Piwik Developer Zone
http://developer.piwik.org

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Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...

Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...

Tech Tuesday-Harness the Power of Effective Resource Planning with OnePlan’s ...

OnePlan Solutions

Many specialized tools cater to distinct stages within the software development lifecycle (SDLC). These tools target various aspects of development, delivery, and operations, each with its unique strengths. Uniting these diverse testing needs into a single continuous testing platform presents several challenges. Such a platform must seamlessly integrate with various development tools and environments, accommodate different testing methodologies, and remain flexible to adapt to organizational processes and quality standards.

The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...

The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...

The Guide to Integrating Generative AI into Unified Continuous Testing Platfo...

kalichargn70th171

Define the academic and professional writing..pdf

Define the academic and professional writing..pdf

Define the academic and professional writing..pdf

PearlKirahMaeRagusta1

A Secure and Reliable Document Management System is Essential.docx

A Secure and Reliable Document Management System is Essential.docx

A Secure and Reliable Document Management System is Essential.docx

ComplianceQuest1

Foundation models are machine learning models which are easily capable of performing variable tasks on large and huge datasets. FMs have managed to get a lot of attention due to this feature of handling large datasets. It can do text generation, video editing to protein folding and robotics. In case we believe that FMs can help the hospitals and patients in any way, we need to perform some important evaluations, tests to test these assumptions. In this review, we take a walk through Fms and their evaluation regimes assumed clinical value. To clarify on this topic, we reviewed no less than 80 clinical FMs built from the EMR data. We added all the models trained on structured and unstructured data. We are referring to this combination of structured and unstructured EMR data or clinical data.

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

Reassessing the Bedrock of Clinical Function Models: An Examination of Large ...

harshavardhanraghave

Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...

In an era where security concerns are paramount, the integration of artificial intelligence (AI) into CCTV cameras has revolutionized surveillance capabilities. One of the most significant advancements is the ability to achieve real-time threat detection, enabling immediate responses to potential security breaches. This blog explores how AI is reshaping surveillance through real-time threat detection and the implications of this technology.

Optimizing AI for immediate response in Smart CCTV

Optimizing AI for immediate response in Smart CCTV

Optimizing AI for immediate response in Smart CCTV

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Craft an AI & Machine Learning Pitch with our Editable Professional PowerPoint Template. Ignite your AI & Machine Learning pitch with our cutting-edge PowerPoint template tailored for the industry. Perfect for AI conferences, investor presentations, sales pitches to tech-focused companies, training sessions, and educational programs. - 20+ editable slides: Get a variety of options to choose from for your presentation. - Time-saving solution: Download, replace text/images with a few clicks. - User-friendly customization: Easy to use and personalize. - Modern and attractive design: Captivating visuals, sleek layout. - Tailored to your requirements: Fully alterable for customization. - Well-organized slides: Complete control over content. - Thematic specificity: Reflects healthcare industry with relevant graphics. - Showcase your business idea: Communicate value proposition effectively.

AI & Machine Learning Presentation Template

AI & Machine Learning Presentation Template

AI & Machine Learning Presentation Template

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Exploring the Best Video Editing App.pdf

Exploring the Best Video Editing App.pdf

Exploring the Best Video Editing App.pdf

Azure Native Qumulo scales elastically for common High Performance Compute (HPC) workloads based on application requirements for: Financial Services, Automotive, Genomics / Life Sciences, Media and Entertainment, Energy, Oil and Gas, etc. Performance can be dialed UP (and back down) much higher than the examples shown here. These slides offer a glimpse into ANQ's HPC capabilities, although at a smaller scale. We invite YOU to do your own testing (with a free ANQ trial) and work with us to test your HPC workloads in Azure.

Azure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdf

Azure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdf

Azure_Native_Qumulo_High_Performance_Compute_Benchmarks.pdf

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