Ssrs Rest Api Data Source

Learn more about Solr. Xplenty's data integration platform makes it easy for you to integrate RESTful API with Microsoft Azure SQL Database to process your data, no coding required. xml configuration file. These interface to data from various departments, such as news articles, book reviews, real estate, etc. Toggle navigation Dev Center Menu. Traditionally, these demo apps don't use some data storage and use only in-memory JavaScript data source or some static JavaScript files stored on server that simulate read-only REST API responses. The Data Sources API provides a pluggable mechanism for accessing structured data though Spark SQL. Modify it as you'd like, and run it wherever you'd like. This is a post to show how you can achieve it. Using shared datasets, you can create multiple paginated reports and mobile reports. If an API handles signature authentication services for documents, PDF support is required. It is the Bureau's hope that talented developers and programmers will use the BLS Public Data API to create original, inventive applications with published BLS data. Web API, REST API, JSON, XML, SOAP, OData). The idea is to source SSRS report datasource with web api output. In this example I'm going to demonstrate how to read a JSON feed from a web service that represents daily metrics of a call center. It's important to know that standardized queries are enabled on services by default, allowing you to provide a standard SQL 92 style syntax across all data sources. Connect to REST API: Advanced Data Services Add the Data Source. Modhashes can be obtained via the /api/me. Locate the User's Position. I have a few data sources (Facebook, Twitter, Elastic Search) using REST API but with JSON format. I’ve used a VALUES table source, but you can easily swap in a JSON one. What is RethinkDB?go. openfootball (aka football. Codeless solution for consuming REST API in SSIS. For the sake of simplicity, I am going to implement only a GET request for which service will return certain types of data (i. Prerequisites Azure Subscription Rest API Resource SQL Server Database created on Azure Portal Steps Here we are using REST API as the data source. To upload a file use the button right below the textarea. gov CKAN API only contain metadata about datasets. There are many pros and cons using but I can say this feature is very good for calling other resources and getting or sending data to it. Therefore, the REST API alternative provides similar access to this data but uses the web service to serve up the data. After you enable the Data API for an Aurora Serverless DB cluster, you can call the Data API or the AWS CLI to run SQL statements on the DB cluster. onLoadingChanged: A function that is executed when the data loading status changes. We are migrating MOSS to SP2010 and have a library with hundreds of SSRS reports that use a Shared DataSource (in SharePoint Integrated mode. They use API Platform Open source. Turn Visual Studio into a powerful development environment for SQL Server, Azure SQL Database and Azure SQL Data Warehouse. InfluxDB is designed to work with time-series data. When you need to import a sql database file (. We're the creators of the Elastic (ELK) Stack -- Elasticsearch, Kibana, Beats, and Logstash. Hosted feature services in ArcGIS Enterprise running on a spatiotemporal data source have restrictions on what is supported; they only support a subset of SQL 92. Directly generated from the top comments in the source code inside src/module. SQL Server Reporting Services is the platform of easy and ready to use tools that can be used for simple report creating to report designing. However, because the majority of the data had a rating of 2, the model did not perform very well. Build your first web service with PHP, JSON and MySql Posted On : March 18, 2014 Published By : Aneh Thakur W eb services ( application services ) is one of the most important part of today development where we ceneteralized or data and allow user to access that data from different sources like web, software, app etc. This blog post will show you how you can automate the use of favorites in SQL Reporting Services 2017. This post explores the State Processor API, introduced with Flink 1. js rest API tutorial helps to get all records, add a record, edit a record and delete a record from MySQL database using rest endpoints. Parasoft SOAtest is the industry-leading API testing solution, which simplifies the process of creating automated end-to-end test scenarios across multiple layers of modern applications (i. When a message is received, if the content type is text/xml and if the SOAPAction Header is missing, then the message is treated as a RESTful Message, if not it is treated as a usual SOAP Message. Configure SSRS Report Data source (Use ODBC Connection) Once you are done configuring ODBC DSN for REST API URL. This topic covers how to use the DataFrame API to connect to SQL databases using JDBC and how to control the parallelism of reads through the JDBC interface. Census Bureau. Provides API for Python, Java, Scala, and R Programming. In this survey, we asked developers to what degree a set of commonly described issues prevents them from expanding the use of open source in their organizations. With the Core Reporting API you can: Build custom dashboards to display Google Analytics data. REST API Task can be used to send and receive HTTP GET, POST Web Request. REST APIs are a great interface for both, backend-to-backend communication and the quite popular Single Page Applications (SPAs). This Bonita REST API extension allows you to run SQL queries relying on data source provided by Java application server. Follow this LINK to create a REST web service in Oracle 11g. JSON functionalities that are added in SQL Server 2016 and Azure SQL Database enable application developers to easily expose relational data from database tables and create REST API that will provide data to modern JavaScript single-page applications. To access resources using OAuth 2. I cant find the Rest Api Web connector in the PowerBI online. Use Stripe Sigma to access and process business data using SQL. Xplenty's data integration platform makes it easy for you to integrate RESTful API with Microsoft Azure SQL Database to process your data, no coding required. Qlik Sense lets you to connect to your data, wherever it is stored, with a wide range of Qlik Connectors and other data connection types. The Data Source API in Spark is a convenient feature that enables developers to write libraries to connect to data stored in various sources with Spark. Click Create a New Data Source and select REST/URL from the Additional options list. With SSDT, developers can visually design, build, debug, test, maintain, refactor, deploy, source control and enable continuous integration & continuous deployment for their databases with a. This data is updated quarterly and verified by our vendors, ensuring accuracy and reliability. Wrangling free data into actionable insights is a key skill for any SEO analyst. It's been a while since the last post about Power BI REST API. REST API 1. In this example I'm going to demonstrate how to read a JSON feed from a web service that represents daily metrics of a call center. The API Server is a lightweight Web application that allows users to create and expose data APIs from data, without the need for custom development. That is perfect for my needs. The API supports both XML and JSON formats. Good questions. How can I use a RESTful web service as a data source in SSIS? Also, how can I set the query string parameter "period" to use a SSIS variable so I can create a dynamic URL?. gov is a free API management service for federal agencies. Develop your first ASP. For the purpose of responding to your request, TIBCO Software Inc. Apache Flink 1. Change the source code with the filename of your service account Json file, your Google Zone and your Project ID. If you think of a datasource to be published as a package that may or may not contain custom sql and initial sql (both of these are metadata with the datasource tds file), then you can leverage the existing Tableau REST API via Python to publish this datasource. LDAP: Data is in an LDAP server, accesible through the LDAP or LDAPS ports, 389 and 636 respectively. A single declarative source of truth for security. Home » Articles » Misc » Here. Just like SOAP, Denodo can publish any base/derived views and interfaces as REST Web services to enable external applications (or users using their browser) to retrieve data from the Data Virtualization layer. Their team builds platforms for the real estate industry. Without having to write a single line of code you can not only perfect your API design, but also create a fully functional mock for customers, partners, or even your own internal engineers to review and build off of. Through simple point-and-click configuration, user can. In this blog post we’ll show how to REST-enable any SQL database, which is free forever for the databases and other services covered by our open source software. Either manually convert the CSV data into the Google Charts datatable format, or place the CSV file on the web server serving the chart, and query it using the technique on this page. Import Using SQL Server Integration Services API System which imports data into a SQL Server database by creating and executing SSIS packages programmatically. Redis modules API reference. REST is named from “Representational State Transfer. This video explains the latest feature REST APIs in SQL Server 2017. Using Shared datasets, you can create multiple paginated reports and mobile reports. ScanJour WorkZone is a Case and Document Management System which implements OData API for full manipulation of all data, cases and documents. The above figure shows how REST Data Source works. A web service provides data as a service over the Internet or within an internal network. Hi, We need to use Secured REST API resource as SSRS data source. The Data Source API in Spark is a convenient feature that enables developers to write libraries to connect to data stored in various sources with Spark. Some data sources have restrictions on what is supported. 0 is a simple, query-based API that gives programs access to any of FlightAware’s flight data. By using Apollo data sources to hook up your services to your graph API, you're also following best practices for organizing your code. Allen Bradley Driver versions supported: ABLogix ControlLogix CompactLogix GuardLogix Micro800 MicroLogix SLC 500 PLC-5 Log Allen Bradley data to these industry standard Databases: SQL Server Oracle Access mySQL SQL Azure CSV Files STEPS Follow the links to the OAS Help …. In this way you can handle all your security related aspects and SQL related queries with in the web service layer. Here's how Web API handles parameters and how you can optionally manage multiple parameters to API Controller methods. A BACPAC file is a ZIP file with an extension of. We need to use the OData Feed data connector to connect with SSRS datasets. db) has started a free, open source public domain football database. RethinkDB pushes JSON to your apps in realtime. The use of web services in the industry continues to grow, and sometimes it can be challenging to find information on how to work with them on IBM i. Get Started Download. This API is similar to the widely used data frame concept in R [32], but evaluates operations lazily so that it can perform relational optimizations. You can use one of the following helper libraries or create your own:. Then consume or manipulate the data via javascript. I am looking for the rest API using which I can Scheduling the release for a specific environment. Equipped with the Data Source API, users can load/save data from/to different data formats and systems with minimal setup and configuration. The component can handle both XML and JSON data being returned from the REST endpoints, which means it supports both legacy (XML based) and newly created (with JSON) REST. Use this sample to learn more about how to: Create packages using the SSIS API; Validate packages using the SSIS API. ” Fair enough. The problem that often occurs when doing this is that there are often dozens of pages or filters that need to be modified to get a full historical view of the data on the web page. SQL databases can handle time-series but weren’t created strictly for that purpose. I was just reading the API deveoloper doc of the provider and it. When you create a data connection it is saved to Qlik Sense, so you can quickly select and load data from the data sources that you commonly use. MuleSoft provides exceptional business agility to companies by connecting applications, data, and devices, both on-premises and in the cloud with an API-led approach. Once loaded, you can set the credentials used when connecting to the data source for report viewers, or if you’d like to connect as the user viewing the report to take advantage of row-level security that’s been set at the data level for certain data sources. Twitter data is the most comprehensive source of live, public conversation worldwide. Azure Search Indexers – Indexing collections June 30, 2015 9:05 am / 2 Comments / Kevin Bronsdijk I previously wrote a blog post called Index data without writing code and recently received some interesting comments / questions in regards to using the Collection(Edm. Creates a new repository using a repository template. Name of the new data source. Projects 3. Use the Oracle Data Visualization Cloud Service REST API to programmatically load on-premises data to a data set that you can explore in your Oracle Data Visualization Cloud Service. Cloud SQL provides a REST API for administering your instances programmatically. By providing this information, you are consenting to TIBCO processing this data and contacting you by email with the response related to your specific request. I am trying to use the new REST API in SSRS/PBIRS 2017 and cannot get the Content retrieval endpoints to work. Qlik Sense lets you to connect to your data, wherever it is stored, with a wide range of Qlik Connectors and other data connection types. Thus, we saw how to consume REST web service from Powershell, convert the JSON data to custom powershell object, and finally update it to SQL Server table. Codeless solution for consuming REST API in SSIS. If you run the generator with the --bluemix option, you will be presented with a list of provisioned data services from IBM Cloud. The Graph API is the primary way for apps to read and write to the Facebook social graph. In Tableau 10. Just like SOAP, Denodo can publish any base/derived views and interfaces as REST Web services to enable external applications (or users using their browser) to retrieve data from the Data Virtualization layer. Even if you have a 10 million rows of data the Data Sync comparison engine is fast and efficient enabling you to. This option isn’t available on the index API because the index API doesn’t fetch the old source and isn’t able to compare it. Makes use of: Data Flow Task, Flat File Connection, OLE DB Connection, Flat File Source, Excel Source, XML Source, Data Conversion Transformation, etc. Web API, REST API, JSON, XML, SOAP, OData). Microsoft SQL Server (MS SQL) is an RDBMS developed by Microsoft with many different editions for various audiences and workloads. These instructions apply to a Eclipse Neon (4. Query Language Syntax - Describes the syntax of the language used to make data queries. Proteins REST API. SharePoint Online – CRUD operation on SharePoint list using REST API and Postman Client) – Part 1 Posted by Kirtiranjan Moharana on August 3, 2018 August 7, 2018 In this article, we will go through the steps and know how to perform CRUD operation on a SharePoint list using REST API and Postman client. Server has a special type of a StiItem - StiDataSourceItem, which has some specific features and capabilities. The Oracle REST Data Services PL/SQL package contains subprograms (procedures and functions) for developing RESTful services using Oracle REST Data Services. This article describes both a graphical approach to. With that in mind, I needed to find a solution where we can automate data source creation (Databases, Tables, etc…) to Azure Data Catalog and don’t want to spend the time creating/registering assets manually. 0, why this feature is a big step for Flink, what you can use it for, how to use it and explores some future directions that align the feature with Apache Flink's evolution into a system for unified batch and stream processing. REST (representational state transfer) is an architectural style consisting of a coordinated set of constraints applied to components, connectors, and data elements, within a distributed hypermedia system. Add/Update/Delete Resources - The REST API can be used to add/modify/delete resources such as data sources, input controls, queries, file resources etc. We couldn't find a way to call Secured REST resource from SSRS. To do this, they’ve forked the library, creating Microsoft. Home; Getting Started. To keep a neat project, let's create one folder for this new API. Updating a row is the same as adding a new row with a known uid, simply PUT the new data to the rows URL. 2 as part of Spark SQL package. Spreadsheets are everywhere, they are the number one data management tool in the world, and whether API developers like or not, spreadsheets will continue to collide with the API. Skyvia allows you to easily expose your SQL Server data via OData — RESTful API for data access and manipulation. For working with data sources, Stimulsoft Reports. Traditionally, these demo apps don't use some data storage and use only in-memory JavaScript data source or some static JavaScript files stored on server that simulate read-only REST API responses. Use this sample to learn more about how to: Create packages using the SSIS API; Validate packages using the SSIS API. Each resource supports methods for accessing and working with it. Instant OData (REST API Access) for Popular Data Sources Getting Started with Odata OData, introduced by Microsoft a few years ago, is a standardized REST interface that is quickly gaining ground for its open source approach as well as its exceptional scalability. [warning] IMPORTANT. The RMS recommended option to build a data warehouse using your RMS data is the RMS REST API. Store data in an external database. gov for Developers. onLoadingChanged: A function that is executed when the data loading status changes. For more information, see Tools to Build on AWS. For example, the Instances resource supports methods such as get, insert, and list. You should give credit to GeoNames when using data or web services with a link or another reference to GeoNames. Spark SQL supports operating on a variety of data sources through the DataFrame interface. Likewise, spark data frames are even better as they can function as an abstraction as close to the metal as you likely need, while allowing you to write programmatic and potentially easier to understand code to express and share your transformations. You can also have CA Live API Creator auto-generate values for the primary key of an entity (table or view). Be sure you are getting the latest edition and remember, now, SSRS is a separate. Data Warehouse. However, we know that qualifying through a QA interview would need much more than just reading this post. Select Microsoft SQL Server in ODBC category as Connection type in the New Connection wizard. Once a connection to a REST data source has been established, you can select data and load it into a Qlik Sense or QlikView app. An SSIS Script Component Source could consume the API source data for you, and the fact that you get to keep all of the processing in one place keeps things tidy, IMO. Stemming from that project, this blog post will present how to create a simple web service that returns a serialized dataset and a simple SSRS report that uses (consumes) this web service to feed data to the report. The HTML Geolocation API is used to get the geographical position of a user. SQLFormat is a free online formatter for SQL statements. Follow this LINK to create a REST web service in Oracle 11g. The data comes back in JSON and JSON is not so perfect as a datasource for SSRS. gov catalog is powered by CKAN, a powerful open source data platform that includes a robust API. An AppSync data source is a persistent storage system (DynamoDB or RDS) or a trigger (AWS Lambda), along with credentials for accessing that system or trigger. The Oracle REST Data Services PL/SQL package contains subprograms (procedures and functions) for developing RESTful services using Oracle REST Data Services. Using Shared datasets, you can create multiple paginated reports and mobile reports. Learn more about Solr. Introduction (Read REST / SOAP API in SSRS) In this tutorial, you will learn how to read REST API in SSRS (SQL Server Reporting Services). NET programming and little knowledge on T-SQL. Timing is everything. For more details, please see our Cookie Policy. I wanna create a report which can connect to my on-premise database by using my own REST API. This code will show you how to:. For example, your employees can become more. Use Excel's Get & Transform (Power Query) experience to import data into Excel from a wide variety of data sources. It’s been a while since the last post about Power BI REST API. StiDataSourceItem is an element that provides a connection to a database and retrieves the necessary data for displaying in the report. Web API, REST API, JSON, XML, SOAP, OData). You can annotate and aggregate using many built-in database functions. Create powerful custom applications powered by Vault Platform, integrations, and higher-level tools such as data loaders of schema visualization. This video explains the latest feature REST APIs in SQL Server 2017. SQL databases can handle time-series but weren’t created strictly for that purpose. Once a connection to a REST data source has been established, you can select data and load it into a Qlik Sense or QlikView app. How do you pass a SSRS rdl parameter to a Web API? Here is what I entered into my SSRS data source: Does the passing of the parameter go in the data source or. They are provided for implementing advanced functionality in your scripts. I've been looking forward to using the new SSIS OData Connector for SQL 2012 since first hearing about it at Project Conf last month, Paul Mather wrote up a great step-by-step guide on getting it all up and running here so have a look at that if you haven't yet. We use Azure Data Catalog to organize, discover and understand all of our backend data sources. Search for any Data Source whose contentURL attribute matches one of those from the workbooks; Download the matching data sources using the REST API; Publish the data sources across to the new Site You will need to provide the credentials for any data source at publish time, since there is no way to. So I have created my own API which has few methods which will return data in a form of JSON or a dataset. Prerequisites Azure Subscription Rest API Resource SQL Server Database created on Azure Portal Steps Here we are using REST API as the data source. Turn Visual Studio into a powerful development environment for SQL Server, Azure SQL Database and Azure SQL Data Warehouse. We would like Teiid to pass the client sql query conditions to the REST API. OData is a widely accepted open standard for data access over the Internet. A default can be set for any option with $. This means that developers do not need to install libraries or additional software in order to take advantage of a REST API design. com - Peter Xie. Beyond Labels: Stories of Asian Pacific Islanders at Yelp October 28, 2019 - Tenzin Kunsal, Nivedita Mittal,Gabe Ramos, Julie Truong, Wing Yung. The component can handle both XML and JSON data being returned from the REST endpoints, which means it supports both legacy (XML based) and newly created (with JSON) REST. Loading data from REST API to SQL Server Once you done configuring JSON Source you can load data to SQL Server. After running the script and checking the SQL Server table, we can see that the data returned from REST web service has been updated to the SQL Server table. To keep a neat project, let's create one folder for this new API. And the great news is that all that data is available via the Yahoo Finance API: YQL. Solved: I am trying to read the data from SQL Server using REST API as a Flume source with JSON format. Please guide me on how to get started. SQL Server Native Client 11. Basic implementation of javax. With Microsoft tooling that means writing a WebApi application. Flat file, Oracle, Excel) using Microsoft or ZappySys Destination connectors. However, because the majority of the data had a rating of 2, the model did not perform very well. For a list of supported SQL functions in ArcGIS Server, visit here. For more information, see REST API Versions. e Load data from JSON / XML to SQL server first and then read from SQL Server to SSRS). Data Replication is often used to feed data into a DWH. By using Apollo data sources to hook up your services to your graph API, you're also following best practices for organizing your code. It is easy to use the REST APIs in any application to access the report server catalog through programmatic way. Easily generate fake data for populating your mockups and testing your applications. AngularJS; jQuery Mobile; Which frameworks to use? Tutorials. Using Teiid "web service" resource-adapter and "ws" translator. After preparing the data source and connection pool for the server, you then need to instruct the application to use the data source. Data sources can be more than just simple pipes that convert data and pull it into Spark. Power BI is a business analytics service that delivers insights to enable fast, informed decisions. This has revolutionized how we can. Refer to the API documentation of the service you are connecting to for more information. The Nest API sends a Content-Type: text/event-stream response header with the event name and data for the state change. The following Scala notebook provides a simple example of how to write data to Cosmos DB and read data from Cosmos DB. Follow this LINK to create a REST web service in Oracle 11g. To address these issues, it is possible to configure Oracle REST Data Services to automatically grant Application Express Users a pre-defined set of RESTful Service roles via manual configuration of the defaults. Microsoft is radically simplifying cloud dev and ops in first-of-its-kind Azure Preview portal at portal. You will have appreciated that, as well as the JSON, you will need a separate table source to say what type of data each value should be, and I’ve done a custom date format to show that you can refine your constraint. Good questions. TA DQM SQL Server on premise & Azure Analysis Services Multidimensional & Tabular CSV, XML, JSON, Excel Other OLEDB-data sources SAP Netweaver Teradata REST API's. Xplenty's data integration platform makes it easy for you to integrate RESTful API with Microsoft Azure SQL Database to process your data, no coding required. The projects in this solution corrspond to the following Web API OData tutorials:01 Endpoint: Creating an OData Endpoint02 Relations: Working with Entity Relations03 Actions: Supporting OData Actions The Open Data. REST Web Services with HTTP POST. Don't worry if you're not familiar with either of those technologies, you won't need to. You will also. New York Times. The framework is used in two ways: 1) Clients may connect directly to the restSQL engine using the HTTP API, and 2) your Services use a Java API. [warning] IMPORTANT. initial_data. Spark SQL supports operating on a variety of data sources through the DataFrame interface. But Factual also allows you to grab data, complete with filters and other options, using a simple URL/REST-ful API. Or you can download the Python module that powers this service to use it in your own. Hence, we suggest you go through all these 20 REST API interview questions and answers. Yahoo Finance. com GraphQL global node IDs. See the guide on "Using Global Node IDs" for detailed information about how to find node_ids via the REST API v3 and use them in GraphQL operations. Basically all of the paging, filtering, sorting etc that DataTables does can be handed off to a server (or any other data source - Google Gears or Adobe Air for example!) and DataTables is just an events and display module. This has revolutionized how we can. Use the public SQL REST API to extract raw metric data from APM, and integrate this data with custom tools. Putting SQL to REST with Azure Data Factory - Kloud Blog and has a series of connectors to load data from a data source, apply a simple mapping and load the. Join and blend your API data with your NoSQL and SQL based datasources; Directly query your REST API services to drive visualizations, or, store and track the data seamlessly using our scalable, schema-less, flexible cloud warehouse. db) has started a free, open source public domain football database. SQL Server has built-in JSON operators that transform table data to JSON and extremely simplify implementation of NodeJS REST API that read. import requests username = "YOUR_USERNAME" apiKey = "YOUR_API. 0 is a simple, query-based API that gives programs access to any of FlightAware’s flight data. Creating REST web services in Denodo. Need to add a REST API to kick off a refresh of a data source. I have written previously about how to get the REST API, and use it in your application, how the authentication works, and things such as embedding content, and data source management. Data Sources Data Sources are used to connect to data that will be tested or to test-reference data. Building REST API using SQL Server and JSON 1. If you have a SQL Server Database and want mobile apps to work with your data, you need an API. This save me from having to download the dataset into a csv file each time I need to run an update. The REST API for Azure Analysis Services enables data-refresh operations to be carried out asynchronously. A web service provides data as a service over the Internet or within an internal network. Partial updates. For example purpose we will load data into SQL Server but you can load into any Target (e. Spark’s built-in distributed collections. Some methods called with querystring parameters like. If an API handles locations, especially in terms of geography on a map service, KML must be supported. The team who are very good in. With simple and familiar SQL query language you. As you know, the Shared Dataset is one of the standard objects for SQL Server Reporting Services. The HTML Geolocation API is used to get the geographical position of a user. Good questions. REST streaming uses Server-Sent Events (SSE) and the EventSource interface, which is implemented in some languages and browsers. Directly generated from the top comments in the source code inside src/module. Transform - convert the data from its native format into your database schema. You can then use the Query Editor to edit query steps to shape or transform data. The data is historical data, meaning no lives scores but the data does include the schedule, teams and players for the 2014 World Cup along with global league data. This example pulls data from a buoy (buoy #44025) off the coast of New Jersey. We've also released a brand-new client library that drastically reduces the amount of code required to use the REST API. You structure the application with datamodels and. Don't worry if you're not familiar with either of those technologies, you won't need to. NET Web API Create ASP. While it is theoretically compatible with any protocol or data format, REST most often uses the HTTP protocol and transfers data using JSON (JavaScript. The REST Source in Task Factory allows users to import data to their data flow using Google's Analytics' Rest API. Use the public SQL REST API to extract raw metric data from APM, and integrate this data with custom tools. Once loaded, you can set the credentials used when connecting to the data source for report viewers, or if you’d like to connect as the user viewing the report to take advantage of row-level security that’s been set at the data level for certain data sources. A data source can also optionally be declared as public, which means it does not require authentication to be accessed. Four things when consuming a web service with SSRS:. If you don't already have an Azure subscription, you can create a free account any time and even benefit from free credits. GraphQL a cut above the REST, say query lang's fans: Airbnb, Knotel, others embrace the tech Both REST and GraphQL provide ways to request data over HTTP. The Azure Cosmos DB Spark Connector User Guide , developed by Microsoft, also shows how to use this connector in Python. We use Azure Data Catalog to organize, discover and understand all of our backend data sources. JS to consume OBIEE 11g web services. Loading data from REST API to SQL Server Once you done configuring JSON Source you can load data to SQL Server. Skill Level: Intermediate IGC, Q Replication, DB2, SQL, SQL/XML, XML, REST API, cURL. Transform data into stunning visuals and share them with colleagues on any device. With LoadUI Pro, you can reuse your functional API tests built on the industry's #1 open-source based API testing tool, SoapUI Pro to speed testing and reduce the time it takes you to deploy high performance REST and SOAP web services. FlightXML 2. SQL Server Reporting Services is the platform of easy and ready to use tools that can be used for simple report creating to report designing. Use the template_owner and template_repo route parameters to specify the repository to use as the template. spark-solr Tools for reading data from Solr as a Spark RDD and indexing objects from Spark into Solr using SolrJ. SQL (Structured Query Language) is a standardized programming language used for managing relational databases and performing various operations on the data in them. State of art optimization and code generation through the Spark SQL Catalyst optimizer (tree transformation framework). Using Teiid "web service" resource-adapter and "ws" translator. Instant OData (REST API Access) for Popular Data Sources Getting Started with Odata OData, introduced by Microsoft a few years ago, is a standardized REST interface that is quickly gaining ground for its open source approach as well as its exceptional scalability. With simple and familiar SQL query language you. 1 (2016-06-09) / Apache-2. Gisgraphy is an open source geocoder that can be installed and run offline on your servers. Important:The original datasource and the new datasource must have the exact same schema. instead of having the web app do SQL directly it calls a REST API and that does the SQL and returns the. For more details, please see our Cookie Policy. The fact-checkers, whose work is more and more important for those who prefer facts over lies, police the line between fact and falsehood on a day-to-day basis, and do a great job. Today, my small contribution is to pass along a very good overview that reflects on one of Trump’s favorite overarching falsehoods. Namely: Trump describes an America in which everything was going down the tubes under  Obama, which is why we needed Trump to make America great again. And he claims that this project has come to fruition, with America setting records for prosperity under his leadership and guidance. “Obama bad; Trump good” is pretty much his analysis in all areas and measurement of U.S. activity, especially economically. Even if this were true, it would reflect poorly on Trump’s character, but it has the added problem of being false, a big lie made up of many small ones. Personally, I don’t assume that all economic measurements directly reflect the leadership of whoever occupies the Oval Office, nor am I smart enough to figure out what causes what in the economy. But the idea that presidents get the credit or the blame for the economy during their tenure is a political fact of life. Trump, in his adorable, immodest mendacity, not only claims credit for everything good that happens in the economy, but tells people, literally and specifically, that they have to vote for him even if they hate him, because without his guidance, their 401(k) accounts “will go down the tubes.” That would be offensive even if it were true, but it is utterly false. The stock market has been on a 10-year run of steady gains that began in 2009, the year Barack Obama was inaugurated. But why would anyone care about that? It’s only an unarguable, stubborn fact. Still, speaking of facts, there are so many measurements and indicators of how the economy is doing, that those not committed to an honest investigation can find evidence for whatever they want to believe. Trump and his most committed followers want to believe that everything was terrible under Barack Obama and great under Trump. That’s baloney. Anyone who believes that believes something false. And a series of charts and graphs published Monday in the Washington Post and explained by Economics Correspondent Heather Long provides the data that tells the tale. The details are complicated. Click through to the link above and you’ll learn much. But the overview is pretty simply this: The U.S. economy had a major meltdown in the last year of the George W. Bush presidency. Again, I’m not smart enough to know how much of this was Bush’s “fault.” But he had been in office for six years when the trouble started. So, if it’s ever reasonable to hold a president accountable for the performance of the economy, the timeline is bad for Bush. GDP growth went negative. Job growth fell sharply and then went negative. Median household income shrank. The Dow Jones Industrial Average dropped by more than 5,000 points! U.S. manufacturing output plunged, as did average home values, as did average hourly wages, as did measures of consumer confidence and most other indicators of economic health. (Backup for that is contained in the Post piece I linked to above.) Barack Obama inherited that mess of falling numbers, which continued during his first year in office, 2009, as he put in place policies designed to turn it around. By 2010, Obama’s second year, pretty much all of the negative numbers had turned positive. By the time Obama was up for reelection in 2012, all of them were headed in the right direction, which is certainly among the reasons voters gave him a second term by a solid (not landslide) margin. Basically, all of those good numbers continued throughout the second Obama term. The U.S. GDP, probably the single best measure of how the economy is doing, grew by 2.9 percent in 2015, which was Obama’s seventh year in office and was the best GDP growth number since before the crash of the late Bush years. GDP growth slowed to 1.6 percent in 2016, which may have been among the indicators that supported Trump’s campaign-year argument that everything was going to hell and only he could fix it. During the first year of Trump, GDP growth grew to 2.4 percent, which is decent but not great and anyway, a reasonable person would acknowledge that — to the degree that economic performance is to the credit or blame of the president — the performance in the first year of a new president is a mixture of the old and new policies. In Trump’s second year, 2018, the GDP grew 2.9 percent, equaling Obama’s best year, and so far in 2019, the growth rate has fallen to 2.1 percent, a mediocre number and a decline for which Trump presumably accepts no responsibility and blames either Nancy Pelosi, Ilhan Omar or, if he can swing it, Barack Obama. I suppose it’s natural for a president to want to take credit for everything good that happens on his (or someday her) watch, but not the blame for anything bad. Trump is more blatant about this than most. If we judge by his bad but remarkably steady approval ratings (today, according to the average maintained by 538.com, it’s 41.9 approval/ 53.7 disapproval) the pretty-good economy is not winning him new supporters, nor is his constant exaggeration of his accomplishments costing him many old ones). I already offered it above, but the full Washington Post workup of these numbers, and commentary/explanation by economics correspondent Heather Long, are here. On a related matter, if you care about what used to be called fiscal conservatism, which is the belief that federal debt and deficit matter, here’s a New York Times analysis, based on Congressional Budget Office data, suggesting that the annual budget deficit (that’s the amount the government borrows every year reflecting that amount by which federal spending exceeds revenues) which fell steadily during the Obama years, from a peak of $1.4 trillion at the beginning of the Obama administration, to $585 billion in 2016 (Obama’s last year in office), will be back up to $960 billion this fiscal year, and back over $1 trillion in 2020. (Here’s the New York Times piece detailing those numbers.) Trump is currently floating various tax cuts for the rich and the poor that will presumably worsen those projections, if passed. As the Times piece reported: