Enabling OData for a DevForce model allows for non-. NET clients to access the same back-end as your DevForce. NET clients. Skip to main content Toggle navigation. Producers OData producers are services that expose their data using the OData protocol. Below we have collected a list of key OData producers, which will continue to grow along with the OData ecosystem. If you create or know of an OData producer not listed be sure to let us know via our new contribution page.
For more info, visit www. Acumatica Acumatica is a cloud- and browser-based enterprise resource planning ERP solution. Blue Spatial Server Blue Spatial Server allows you to upload data in various spatial formats and optionally expose those layers as OData. Conduit Conduit provides businesses with a secure data transit solution that connects data systems and sources to any business intelligence visualization tools.
Harmony Core by Synergex Harmony Core is a software development framework that helps Synergy developers create RESTful web services that expose Synergy data and business logic with minimal effort. IBM App Connect IBM App Connect Professional is a multi-tenant, cloud-based platform for rapidly integrating cloud applications, on-premises applications, and enterprise systems in a hybrid environment via a hosted cloud solution.
IFS IFS develops and delivers enterprise software for customers around the world who manufacture and distribute goods, build and maintain assets, and manage service-focused operations. Lightswitch Microsoft Visual Studio LightSwitch is a development environment designed to simplify and shorten the development of data-driven businesses applications. Priority Software Priority is an established ERP software available in the cloud or on premise and used by 7, customers worldwide. RemObjects Data Abstract full multi-tier database application framework that supports publishing data for insert, select, update and delete via OData.
Soley Studio Soley Studio is a professional development environment that helps to empower experts with analysis solutions. Team Foundation Server An extension to Team Foundation Server Server and that allows you to browse TFS data using the OData protocol Teiid Teiid allows you to connect to and consume sources odata services, relational data, web services, file, etc. Telerik TeamPulse The Telerik TeamPulse Silverlight client interacts with the database using a WCF data service, and more specifically by using the Open Data Protocol which is a popular way to expose information from a variety of sources including, but not limited to, relational databases, file systems, content management systems and traditional Web sites.
Windows Azure Table Storage Windows Azure Table provides scalable, available, and durable structured storage in the form of tables exposed as OData endpoints. Consumers OData consumers are simply applications that consume data exposed using the OData protocol. OData consumers can vary greatly in sophistication, from something as simple as your web browser all the way through to a custom application that takes advantage of all the features of the OData Protocol.
Below we have collected a list of key OData consumers, which will continue to grow along with the OData ecosystem. Simply pick a consumer from the list below and point it at one of the live services. If you create or know of an OData consumer not listed be sure to let us know via our new contribution page.
Browsers Most modern browsers allow you to browse Atom based feeds. Client Libraries Client libraries are programming libraries that make it easy to consume OData services. NET v3 Database. JBoss Data Virtualization JBoss Data Virtualization allows you to import OData services and converts them to relational objects tables and procedures allowing you to federate your OData based sources with other disparate sources for a single view of all your data.
Lightning Connect Lightning Connect leverages the OData protocol to connect with external data without copying or storing that data inside Salesforce. It can interact with either local or remote OData endpoints. Pebble Reports Pebble Reports lets you create reports consisting of tables, charts and crosstabs.
Tableau Tableau — an excellent client-side analytics tool — can now consume OData feeds Teiid Teiid allows you to import OData services and converts them to relational objects tables and procedures that can then be exposed as an OData service, allowing you to federate your OData based sources with other disparate sources for a single view of all your data.
Telerik Telerik, always being a pioneer in supporting new technologies, not only provides native support for the OData protocol in its products, but also offers several applications and services which expose their data using the OData protocol. DBpedia A community effort to extract structured information from Wikipedia and to make this information available on the Web, with full support for OData interactions on the live query services.
Datawatch With Datawatch, you can also easily access the growing number of OData sources worldwide. Nuget Nuget is a Visual Studio extension that makes it easy to install and update open source libraries and tools in Visual Studio.
Public Transit Data Community Collection of mass transit data from a variety of transportation agencies across the United States. RemObjects Data Abstract servers and Relativity Server let you expose your regular Data Abstract services with all associated business logic as OData services, giving you and your customers a cross platform way of accessing its data from non-Data Abstract applications and from platforms not yet directly supported by Data Abstract.
TechEd Microsoft TechEd conference session data. The script begins by setting the ADLSgen2 context and keys. It goes on to show how to set the various Snowflake options. Finally, it shows how to write a sql query to read from Snowflake and to write 5 rows into Snowflake.
Note that the select query can be more complex to accommodate complex joins as well. Since there are numerous methods of transforming data before, during, or after it lands in Snowflake, this section will discuss some of these various transformation options and their capabilities.
These models can be versioned and unit tested within Snowflake. Snowflake also supports transforming while loading it into a table using the COPY INTO command in order to avoid using numerous staging or temp tables.
Snowflake also supports loading of semi-structured data into separate columns. That said, Snowflake offers a variety of options for governing data assets on their platform for Enterprise editions or higher. These features include the following:. Within Snowflake, it is possible to apply masking policies to columns within a table or view with the Dynamic Data Masking and External Tokenization. Data Masking selectively masks plain-text data in table and view columns at query time.
The data administration of definition of the policies are managed by security or privacy officers and not the object owner. External Tokenization tokenizes data by replacing sensitive data with an undecipherable token before loading it into Snowflake and detokenizes the data at query runtime and uses external functions. Dynamic Data Masking supports data sharing but tokenization does not. Here is a sample script which details how to create masking policies. When creating masking policies, regex, timestamps, UDF, and custom decryption scripts are supported.
In addition to regulatory compliance auditing, this view can help with discovering unused data for the purpose of archival or deletion.
Tags enable tracking of sensitive data for compliance, discovery, protection, and resource usage. A tag is a schema level object that can be associated with another Snowflake object. Tags are stored as a key-value pairs e. This means that no actual data is transferred between accounts and therefore the data consumer will not incur storage costs but rather only compute costs to run queries on the shared data. Data providers can provide data consumers that do not have Snowflake accounts what is known as reader accounts.
These read only accounts are owned by the data provider and allow the data consumer to access the data without needing a Snowflake account. The limitation with this approach to data consumers is that they cannot perform DML operations since the accounts are read only.
This section with briefly describe the various details of the data sharing products offered by Snowflake. Here is a sample script which demonstrates just how easy it is to create a share, grant usage to database objects, and then allow specified accounts access to the share. Shares can be even more complex to allow sharing of multiple databases across regions and cloud providers. The last script in this section shows how to create a Dynamic Secure View that can then be shared via account-to-account or reader account access.
This method enforces row-level security by only allowing consumers access to data that they are permitted to view based on their current account. A well-defined mapping table and appropriate key across tables will be needed for this approach to be setup. Once successfully setup, it allows for seamless data sharing across vendors and clients. The Snowflake Data Marketplace is location for accessing a variety of datasets and it uses Secure Data Sharing to connect data providers with consumers.
As a data consumer, you can access and query 3 rd party datasets in your Snowflake account and join it with your own data or other 3 rd party datasets. As a data provider, you can publish real-time live datasets securely to the Marketplace to make it available for others to consume, without having to build and maintain APIs and ELT pipelines for customers. We can't always guarantee that the perfect solution to your specific problem will be waiting for you. If you ask your own question - our Certified Experts will team up with you to help you get the answers you need.
Who are the certified experts? How quickly will I get my solution? We can't guarantee quick solutions - Experts Exchange isn't a help desk. We're a community of IT professionals committed to sharing knowledge. Limited Support : Fully supported base technology: Glassfish.
Dynatrace monitoring is limited to the incoming webrequests that cause any work business logic on WebMethods. Dynatrace fully supports. NET applications written in C. Limited support for. NET applications written in other languages is available, though not explicitly tested. NET for custom tracing capabilities. OpenTelemetry for Go is in the release candidate stage and isn't stable enough for long-term OneAgent support.
Consequently, we can only support the latest OpenTelementry for Go version available at the time of OneAgent release. PHP 8. See Dynatrace support model for PHP applications for support and desupport details. Supported are statically configured routes in the bootstrap config file. Dynamically added routes, i. Istio environments. As long as the specific binaries in use is either in the list of supported binaries, or the corresponding debug information is available locally.
How to monitor Varnish Cache. All modern browsers with JavaScript and cookies enabled are supported, but only the browsers below are tested.
If you don't want the RUM JavaScript to be injected into officially unsupported versions, you'll need to define appropriate browser exclusion rules in your application settings. Session recording is not supported for IE11 that has been configured with the IE7 compatibility mode.
Generally, Dynatrace extensions run only on physical or virtual hosts , not within containers, but check technology-specific pages for possible exceptions for example, Elasticsearch , HAProxy , Redis. Since OneAgent version 1. This requires RabbitMQ version 3. See Requirements for private Synthetic locations. We provide support for any problems directly caused by Dynatrace. Dynatrace has access to this technology and can typically reproduce common problems in-house but an environment may have to be set up on-demand.
Dynatrace provides support for a limited set of functionality for a particular technology. In most cases Dynatrace does not have access to technology that has limited support. For any problems Dynatrace support will be able to help you, if it can reproduce the problem in the fully supported technology that forms basis for the limited support. Get started with Dynatrace What is Dynatrace?
NET Node. What does a 'Max. What technologies underlie individual processes? Configuration Set up process group monitoring Customize the structure of process groups Declarative process grouping Customize the names of process groups Define your own process group metadata Monitoring Overview of all technologies running in your environment Analyze processes Analyze process responsiveness Process group availability monitoring and alerting Monitor process-specific network connections Hosts Basic concepts Infrastructure Monitoring mode How effective is infrastructure monitoring on its own?
Configuration Organize your environment using host groups Set custom host names in dynamic environments Define tags and metadata for hosts Exclude disks and network traffic from host monitoring Monitoring Measures for host health OS service monitoring Where can I view host performance measures?
Linux Dynatrace only tests and provides support for installation of OneAgent on the Linux distributions and versions listed below. Features Versions Auto-injection in Docker container Deep monitoring 1 1. IEEE Buildpacks Versions Java buildpack 3. NET Core on Linux buildpack v3. Features Versions Garden-runC v1. Distributions Versions, Flavors 1 2 Vanilla Kubernetes 1.
Application servers Versions Apache Tomcat 6, 7, 8, 8. Web framework Versions Akka Http client Web services Versions Apache Axis2 1. Database frameworks Versions Cassandra CQL3 - java-driver-core formerly known as 'cassandra-driver-core' 2. Remoting frameworks Versions Akka Remoting 2.
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