Tutorial: ADO.NET Data Services (with Source Code)

  •        0

Tutorial: ADO.NET Data Services (with Source Code) Find more explications and a more detailed step-by-step guide on my Blog: http://jasondeoliveira.com

http://adodataservtutorial.codeplex.com/

Tags
Implementation
License
Platform

   




Related Projects

Tutorial: LINQ data query language - Example Project


Tutorial: LINQ data query language - Example Project Find detailed explications and a step-by-step guide on my Blog: http://jasondeoliveira.com

giga - Concurrent File I/O on Arbitrarily-Sized Files


make CONCURRENT=false PERFORMANCE=true test```Updating----```bashgit pullgit submodule foreach --recursive git checkout mastergit submodule foreach --recursive git pull```Usage----An example can be found in `tutorial/` and can be executed by running:```bashcd tutorial/make./tutorial.app```All header and library files in the tutorial are symbolically linked to `tutorial/external/giga` -- removing the symoblic link, and cloning `giga` (and installing dependencies, as per above) into the same place

grails-rest-example - An example grails project for RESTful web services


An example grails project for RESTful web services

jena-plb-tutorial - A tutorial example for Jena, based around DOAP data


A tutorial example for Jena, based around DOAP data

i18n-tutorial-example - Example project for i18n-tutorial: pull requests very welcome!


Example project for i18n-tutorial: pull requests very welcome!

myd - The My Data Project enables you import and analyse your data from web services and apps.


The My Data Project enables you import and analyse your data from web services and apps.

Project Niagara


An alternative way to supply validation metadata for use in Silverlight projects. Secondary goal of the project is to provide Validation services to ADO.NET Data Services and Web Services to provide parity with RIA Services.

spark-parquet-thrift-example - Example Spark project using Parquet as a columnar store with Thrift objects


Apache Spark is a research project for distributed computing which interacts with HDFS and heavily utilizes in-memory caching. Modern datasets contain hundreds or thousands of columns and are too large to cache all the columns in Spark's memory, so Spark has to resort to paging to disk. The disk paging penalty can be lessened or removed if the Spark application only interacts with a subset of the columns in the overall database by using a columnar store database such as Parquet, which will only load the specified columns of data into a Spark RDD.Matt Massie's example uses Parquet with Avro for data serialization and filters loading based on an equality predicate, but does not show how to load only a subset of columns. This project shows a complete Scala/sbt project using Thrift for data serialization and shows how to load columnar subsets.

AzureUsageAndBillingPortal - This web application solution enables you to monitor the usage and billing for any Azure subscriptions you have access to


This project is designed to retrieve the usage details of all Azure services in a specific Azure subscription(s). Using PowerBI dashboard, one can retrieve up to date billing data (Azure service usage details) of a subscription that is registered to the system. First, any user with an active azure subscription has to register their subscription with the system through the registration website. To get registered, only the subscription owner's Microsoft ID (i.e. email address that ends with Hotmail.com, outlook.com etc.) or an organization ID (i.e. email address that ends with microsoft.com, fabrikam.com etc.) and subscription’s domain name is needed. Providing this data, a user can register their Azure subscription with the system. Once the subscription is registered, the system automatically retrieves the past 3 years (adjustable parameter) usage data and allows it to be viewed by a PowerBI dashboard. Additionally, every day at UTC 00:00 o’clock, the system automatically retrieves the previous day’s usage and billing data for each registered subscription in the system. By doing this, it keeps all records up to date on a daily basis. There is always a 1-day delay (currently you can’t retrieve the past few hours’ data immediately because the main Azure system collects all data from different datacenters within different time zones) on the data presented through PowerBI.The PowerBI dashboard allows users to filter data in realtime according to different parameters such as: Subscriptions, Services, SubServices, etc.

data-integration - Data Integration using Cloud Services. This is the project of my summer VT


Data Integration using Cloud Services. This is the project of my summer VT

Excel Services PowerPivot Sample Data


SQL Server 2012 sample data for Excel Services PowerPivot Tutorial.

Dilshya-PHP-MySQL-JSON-Data-services


Dilshya PHP MySQL JSON Data services. for installation and tutorial please follow this link. http://www.dilshya.com/?p=1

sparkey


Continuous integration with [travis](https://travis-ci.org/spotify/sparkey).[![Build Status](https://travis-ci.org/spotify/sparkey.svg?branch=master)](https://travis-ci.org/spotify/sparkey)Dependencies------------* GNU build system (autoconf, automake, libtool)* [Snappy](https://code.google.com/p/snappy/)Optional* [Doxygen](http://www.doxygen.org/)Building-------- autoreconf --install ./configure make make checkAPI documentation can be generated with `doxygen`.Installing----------

user2016-tutorial


No matter what your domain of interest or expertise, the internet is a treasure trove of useful data that comes in many shapes, forms, and sizes, from beautifully documented fast APIs to data that need to be scraped from deep inside of 1990s html pages. In this 3 hour tutorial you will learn how to programmatically read in various types of web data from experts in the field (Founders of the rOpenSci project and the training lead of RStudio). By the end of the tutorial you will have a basic idea of how to wrap an R package around a standard API, extract common non-standard data formats, and scrape data into tidy data frames from web pages.Background Knowledge Familiarity with base R and ability to write functions.

congress - Congress


Congress is an open policy framework for the cloud. With Congress, a cloud operator can declare, monitor, enforce, and audit "policy" in a heterogeneous cloud environment. Congress gets inputs from a cloud's various cloud services; for example in OpenStack, Congress fetches information about VMs from Nova, and network state from Neutron, etc. Congress then feeds input data from those services into its policy engine where Congress verifies that the cloud's actual state abides by the cloud operator's policies. Congress is designed to work with any policy and any cloud service.Congress's job is to help people manage that plethora of state across all cloud services with a succinct policy language.

spring-data-jpa-example - This is an example mevan project for spring data AJP


This is an example mevan project for spring data AJP

WCF Data Service Format Extensions for CSV, TXT


This project add support for Legacy formats like CSV, TXT (CSV Export) to the data service output and allow $format=txt query. By default WCF Data Services support Atom and JSON responses however legacy systems do not understand ATOM or JSON but they understand CSV, TXT f...

wso2-ds-tests - Project for tests in the WSO2 Data Services Server and the several features.


Project for tests in the WSO2 Data Services Server and the several features.

MontrealJustInCase - Geographic locations of public safety services. A Montreal Open Data project.


Geographic locations of public safety services. A Montreal Open Data project.

SpringDemo - Simple Spring project with REST services and Spring Data.


Simple Spring project with REST services and Spring Data.