Building Windows Phone Database App Using MVVM Pattern

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This document discusses building a Windows Phone app using the MVVM pattern with a local database. It introduces MVVM and LINQ to SQL for accessing the database in an object-oriented way. A data context represents the database with table objects mapping to database tables containing entity objects. Links are provided for implementing ICommands and building local database apps for Windows Phone 8 using MVVM.

Technology

Building Windows Phone Database
App Using MVVM Pattern
Fiyaz Bin Hasan
Microsoft Student Partner

Topic to cover
Brief look at MVVM
LINQ to SQL
Data context
Creating a database app (All We Are)

MVVM
http://msdn.microsoft.com/en-us/library/gg405484(v=pandp.40).aspx

LINQ to SQL
Used for talking with the local database
Data access in object oriented way
http://msdn.microsoft.com/en-us/library/windowsphone/develop/hh202860(v=vs.105).aspx

Data Context
A object that represents the database
Contains a table object, each of which represents a table in the database
Table object is made up of entities
Entities are POCO class with attributes

Important Links
ICommand
http://www.geekchamp.com/articles/building-a-reusable-icommand-implementation-for-
windows-phone-mango-mvvm-apps
WP8 local Database App
http://msdn.microsoft.com/en-us/library/windowsphone/develop/hh202876(v=vs.105).aspx
WP8 local database app using MVVM
http://msdn.microsoft.com/en-us/library/windowsphone/develop/hh286405(v=vs.105).aspx

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The SQLExecutor is one of FME’s most powerful and flexible transformers. Pivvot maintains a robust internal metadata hierarchy used to support ingestion and curation of thousands of external data sources that must be managed for quality before entering our platform. By using the SQLExecutor, Pivvot can efficiently detect problems and perform analysis before data is extracted from our staging environment, removing the need for rollbacks or cycles waisted on a failed job. This presentation will walk through three distinct examples of how Pivvot uses the SQLExecutor to engage its metadata hierarchy and integrate with its Data Quality Management workflows efficiently and within the source postgres database. Spatial Validation –Validating spatial prerequisites before entering a production environment. Reference Data Validation - Dynamically validate domain-ed columns across any table and multiple columns per table. Practical De-duplication - Removing identical or near-identical well point locations from two distinct source datasets in the same table.

Cyber Defense Matrix Workshop - RSA ConferencePriyanka Aash

OpenACC and Open Hackathons Monthly Highlights June 2025OpenACC

The OpenACC organization focuses on enhancing parallel computing skills and advancing interoperability in scientific applications through hackathons and training. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. The document also highlights several open hackathons, a call to apply for NVIDIA Academic Grant Program and resources for optimizing scientific applications using OpenACC directives.

EIS-Webinar-Engineering-Retail-Infrastructure-06-16-2025.pdfEarley Information Science

As AI reshapes expectations in retail and B2B commerce, organizations are recognizing a critical reality: meaningful AI outcomes depend on well-structured, adaptable infrastructure. In this session, Seth Earley is joined by Phil Ryan - AI strategist, search technologist, and founder of Glass Leopard Technologies - for a candid conversation on what it truly means to engineer systems for scale, agility, and intelligence. Phil draws on more than two decades of experience leading search and AI initiatives for enterprise organizations. Together, he and Seth explore the challenges businesses face when legacy architectures limit personalization, agility, and real-time decisioning - and what needs to change to support agentic technologies and next-best-action capabilities. Key themes from the webinar include: Composability as a prerequisite for AI - Why modular, loosely coupled systems are essential for adapting to rapid innovation and evolving business needs Search and relevance as foundational to AI - How techniques honed-in enterprise search have laid the groundwork for more responsive and intelligent customer experiences From MDM and CDP to agentic systems - How data platforms are evolving to support richer customer context and dynamic orchestration Engineering for business alignment - Why successful AI programs require architectural decisions grounded in measurable outcomes The conversation is practical and forward-looking, connecting deep technical understanding with real-world business needs. Whether you’re modernizing your commerce stack or exploring how AI can enhance product discovery, personalization, or customer journeys, this session provides a clear-eyed view of the capabilities, constraints, and priorities that matter most.

"Scaling in space and time with Temporal", Andriy Lupa.pdfFwdays

Design patterns like Event Sourcing and Event Streaming have long become standards for building real-time analytics systems. However, when the system load becomes nonlinear with fast and often unpredictable spikes, it's crucial to respond quickly in order not to lose real-time operating itself. In this talk, I’ll share my experience implementing and using a tool like Temporal.io. We'll explore the evolution of our system for maintaining real-time report generation and discuss how we use Temporal both for short-lived pipelines and long-running background tasks.

Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdfcaoyixuan2019

From Manual to Auto Searching- FME in the Driver's SeatSafe Software

Finding a specific car online can be a time-consuming task, especially when checking multiple dealer websites. A few years ago, I faced this exact problem while searching for a particular vehicle in New Zealand. The local classified platform, Trade Me (similar to eBay), wasn’t yielding any results, so I expanded my search to second-hand dealer sites—only to realise that periodically checking each one was going to be tedious. That’s when I noticed something interesting: many of these websites used the same platform to manage their inventories. Recognising this, I reverse-engineered the platform’s structure and built an FME workspace that automated the search process for me. By integrating API calls and setting up periodic checks, I received real-time email alerts when matching cars were listed. In this presentation, I’ll walk through how I used FME to save hours of manual searching by creating a custom car-finding automation system. While FME can’t buy a car for you—yet—it can certainly help you find the one you’re after!

Techniques for Automatic Device Identification and Network Assignment.pdfPriyanka Aash

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Coordinated Disclosure for ML - What's Different and What's the Same.pdfPriyanka Aash

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Lessons Learned from Developing Secure AI Workflows.pdfPriyanka Aash

OWASP Barcelona 2025 Threat Model LibraryPetraVukmirovic

2025_06_18 - OpenMetadata Community Meeting.pdfOpenMetadata

ReSTIR [DI]: Spatiotemporal reservoir resampling for real-time ray tracing ...revolcs10

Oh, the Possibilities - Balancing Innovation and Risk with Generative AI.pdfPriyanka Aash

You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante

Securing AI - There Is No Try, Only Do!.pdfPriyanka Aash

Using the SQLExecutor for Data Quality Management: aka One man's love for the...Safe Software

Cyber Defense Matrix Workshop - RSA ConferencePriyanka Aash

OpenACC and Open Hackathons Monthly Highlights June 2025OpenACC

EIS-Webinar-Engineering-Retail-Infrastructure-06-16-2025.pdfEarley Information Science

"Scaling in space and time with Temporal", Andriy Lupa.pdfFwdays

Tech-ASan: Two-stage check for Address Sanitizer - Yixuan Cao.pdfcaoyixuan2019

From Manual to Auto Searching- FME in the Driver's SeatSafe Software

Techniques for Automatic Device Identification and Network Assignment.pdfPriyanka Aash

CapCut Pro Crack For PC Latest Version {Fully Unlocked} 2025pcprocore

Coordinated Disclosure for ML - What's Different and What's the Same.pdfPriyanka Aash