Qdt-components is a library that we build in the Demo & Innovation Team to facilitate most of our needs by communicating with Qlik Servers and displaying visualizations in websites. This can happen with either the Capability API where we just supply the object id and show the visualization that we have already created in Qlik Sense or, by the Engine API where we only get the data and then decide on how we want them displayed on the page. To achieve the second, we have added great libraries like Picassojs and now MapBox. If you have not used qdt-components before, we have setup integration guides for the top 3 most popular frameworks like React, Angular and Vue and one for no framehork, just simple html. https://github.com/qlik-demo-team/qdt-components#usage We had a task for a live event that we needed to show data from around the US as a voting was taking place. We thought of trying out MapBox since it was a vary light and fast library that utilizes the latest in OpenGL technologies. We tried it with qdt-components and the results are amazing. Below is a simple example on how to use it and the one that loads over a million rows of data (examples are in ReactJs). Code example: <QdtComponent type="QdtMapBox" props={{ cols: ['ID', 'lat', 'lon', 'gender'], height: 400, qPage: { qTop: 0, qLeft: 0, qWidth: 4, qHeight: 2500, }, }} https://qdt-apps.qlik.com/qdt-components/react/#/mapbox Swipe Night example with over a million rows of data In order to get all 'swipe night' data, I passed the number of seconds that I want the library to loop through and then a callback to get the qData in my browser and calculate the percentages to display on the screen. <QdtComponent type="QdtMapBox" props={{ mapToken: 'pk.xxx', style: 'mapbox://styles/xxx', center: [-97.531708, 39.305878], zoom: 4.3, interactive: false, circleRadius: 2, cols: ['ID', 'lat', 'lon', 'gender'], height, getData: callback, getAllDataInterval: 1, // Get data In Seconds qPage: { qTop: 0, qLeft: 0, qWidth: 4, qHeight: 2500, }, legend: false, }}const callback = (qData, qLayout) => { totalRows = qLayout.qHyperCube.qSize.qcy; currentRows += qData.qMatrix.length; data = [...data, ...qData.qMatrix]; console.log(`${currentRows}/${totalRows}`); const _labels = labels; qData.qMatrix.map((value) => { if (value[3].qText) { counter[value[3].qText] += 1; _labels[value[3].qText] = (counter[value[3].qText] / data.length) * 100; _labels[value[3].qText] = `${Number(_labels[value[3].qText].toFixed(2))}%`; } return true; }); setLabels(() => ({ ...labels, ..._labels })); }; This is it!! Happy Coding!!! Yianni ...View More

Hey Guys - happy Friday!! - You can see by my greeting I am genuinely excited to share with you all what I learned when diving into the world of Attunity. Yes, you heard me right, Attunity. In February 2019 -Qlik acquired Attunity, a leader in data integration and data management solutions. Since then I have been chomping at the bit to get my hands on the software so I could learn what it is and potentially start showcasing how awesome it is. Remember, you guys know me for almost everything Qlik Sense - but as a technology evangelist, I need to expand my video portfolio as we grow and acquire new technologies in order to share all of the amazing software capabilities and solutions available from Qlik. When preparing for our Qlik Products November 2019 What's New video - I had the pleasure of working with Senior Solutions Engineer Thiago Bruch, whom generously shared his knowledge with me on the Attunity platform. To start - I created a video that provides a "Hello World" so to speak of one of the products available in the Attunity platform, Attunity Replicate. I hope to follow with more videos on other pieces and use cases in the future as I continue to learn more. Note - we are opening a new section in the Qlik Community dedicated to Attunity where myself and other Attunity experts will be contributing - so stay tuned to learn more. OK - enough talk - on to the video. The video is much longer than I normally make but stick around - you will see everything in action in real-time. It will even give you some ideas on how you can demonstrate it as well if necessary. Send me your questions, happy to help. Regards, Mike Tarallo [video] ...View More

Hey Guys, we are excited to share with you a new capability available in the cloud-based editions of Qlik Sense. You can now upload, view, organize and share QlikView documents - (.qvw) files right along with your QlikSense apps in Phase 1 of this 2 phased approach. Once uploaded the QlikView documents can be secured and managed just like any app. You can set access roles for users and organize them in spaces and even add them to your favorites and collections. Ourvision is to provide a common platform to create a unified analytics experience, so you can simplify your deployment and make progress toward alleviating entitlement management burdens. Watch this 60 second video to learn more an check out our latest entry in our Innovation Blog here. [video] Have a comment or question? We want to hear from you. Leave them below. Regards,Mike Tarallo ...View More

When I was growing up, I used to love those books where you could make choices for the characters, shaping the story as you read it. A few months ago, a popular streaming service came up with same idea for one of its titles, and it was a serious blast. Probably because, for the first time (that I’m aware of), it flipped the experience from passive tv watching to active engagement with the characters. We had the opportunity to play an exciting role in Tinder Swipe Night. The Swipe Night experience is a first-person adventure narrative where people can make choices, each decision leads to a different adventure that can lead to matches. Tinder's Swipe Night is, in my opinion, a brilliant implementation of the self driven adventure.We built two visualizations for their opening night showing event at Tinder corporate office headquarters in Los Angeles. The pieces where design to be displayed in a big tv wall as you can see in the picture below We produced two main pieces, the Generation Insights Map is an interactive visualization that showed user engagement during the opening night. The dots provided insight on popularity of Swipe Night within two different age groups. The second piece tracked which endings users were generating based on their critical decisions and how the numbers changed over time. We published both pieces in our demo site https://qdt-apps.qlik.com/swipe-night/for you to explore. I hope you enjoy it, and if dating is your thing, happy matching! Arturo ...View More

What should I use? App Integration API or Single Integration API Capability APIs enigma.js Use the App Integration API or Single Integration API if you just need to embed a few apps, sheets, or objects into your web app Use the Capability APIs to embed Qlik Sense visualizations into your web app, create Qlik Sense visualizations on the fly, get data from fields, make selections, create objects, and more, with an API that attempts to simplify the process of communicating with the Qlik Engine JSON API. Use enigma.js if you are a developer comfortable with referencing the Qlik Engine JSON API, you want as little between you and the Qlik Engine as possible, and you do not require embedding Qlik Sense visualizations into your web app. Requires a higher degree of skill than either the Integration APIs or the Capability APIs. Using the App Integration API and Single Integration API Using either of the Integration APIs is very simple, and the only prerequisite knowledge required is how to create an iFrame element in HTML. Each of the integration APIs allow some options to be supplied via the URL. Use the documentation for each as a reference to these options. NOTE – The client will have to be authenticated if authentication is required on the virtual proxy used for the Qlik Sense App or objects that will be embedded. https://help.qlik.com/en-US/sense-developer/Subsystems/APIs/Content/Sense_ClientAPIs/app-integration-api.htm https://help.qlik.com/en-US/sense-developer/Subsystems/APIs/Content/Sense_ClientAPIs/single-integration-api.htm Using the Capability APIs Prerequisites In order to use the Capability APIs you should have some knowledge of HTML, CSS, and JavaScript. Some knowledge of AngularJS and RequireJS is beneficial, but not necessarily and requirement. It would be beneficial to know how to use your browser’s dev-tools, including knowing how to inspect messages sent and received across a websocket. Since the Capability APIs use the Qlik Engine JSON API, some knowledge of that would be good, but not necessarily required. It would also be beneficial to understand Qlik concepts such as generic objects and hypercubes. Resources: https://angularjs.org/ https://requirejs.org/ https://help.qlik.com/en-US/sense-developer/APIs/EngineAPI/index.html https://help.qlik.com/en-US/sense-developer/June2019/Subsystems/Platform/Content/Sense_PlatformOverview/Concepts/concepts.htm Considerations The Capability APIs use AngularJS and RequireJS, which are both global libraries which have the potential to interact with the rest of your web app. jQuery is also loaded with the Capability APIs which means if you another version of jQuery in your web app it will potentially be overwritten by the copy of jQuery loaded by the Capability APIs. There’s also some CSS that must be loaded to use the Capability APIs which has the potential to overwrite your web apps own styles. These things should be considered before using the Capability APIs. If any of these potential conflicts are an issue, consider using the App Integration API or Single Integration API, which both use iFrames to embed Qlik Sense content onto your page, which is isolated from affecting the rest of your web app. You could also consider creating a mashup with the Capability APIs and embedding the mashup in your web app in an iFrame to isolate it from the rest of your web app. Getting Started The document Getting started building mashups will guide you through setting up a mashup using the Capability APIs. It assumes that you are using Qlik Sense Desktop and that you want to use Qlik Sense to host your mashup files. If you instead want to use Qlik Sense Enterprise to host the mashup, then create the files the same way, but use the import extension capability of the QMC to upload your files. You can also simply host your mashup files outside of Qlik Sense entirely but be sure to add the origin to the whitelist of the virtual proxy in the QMC. Authentication Does the virtual proxy you are using require authentication? Then something to be aware of when using the Capability APIs is not only will Qlik Sense check for authentication when you connect to an app, it will also check for authentication when requesting files from behind the virtual proxy. If you’re hosting your mashup within Qlik Sense behind a virtual proxy that requires authentication then as soon as you try to load the mashup, Qlik Sense will check for authentication. Qlik Sense will also check for authentication when loading the necessary Capability API assets (require.js and related assets, CSS file) from behind a virtual proxy that requires authentication. That means that you need to deal with authentication before you can successfully load any assets from behind the virtual proxy. The document Authentication Solutions is the place to start. Usage Once your mashup is setup you’ll have access to the qlik namespace. The qlik namespace provides all of the methods of the Root API. From here, you can, for example, use the openApp method to connect to a Qlik Sense app and get an app object with which you can use all of the methods of the App API. That is the general pattern of the Capability APIs. For example, the Visualization API get and create methods both return an instance of the QVisualization class which has methods related to modifying and displaying the visualization returned. enigma.js Prerequisites In order to use enigma.js, you should be comfortable JavaScript, promises, and websockets. You will need Node.js. Since enigma.js can be used anywhere that JavaScript can be executed, further prerequisites depend on how it will be used. enigma.js implements the methods of the Qlik Engine JSON API, so you should be comfortable referencing the Qlik Engine JSON API. Further knowledge about Qlik, including such topics as messages sent from the Qlik Proxy Service to clients, is helpful. Generally, you should be a developer that is very comfortable with JavaScript, referencing API materials, and using open source libraries. You should also be familiar with Qlik concepts such as generic objects and hypercubes. References: https://help.qlik.com/en-US/sense-developer/APIs/EngineAPI/index.html https://help.qlik.com/en-US/sense-developer/Subsystems/ProxyServiceAPI/Content/Sense_ProxyServiceAPI/ProxyServiceAPI-Msgs-Proxy-Clients.htm https://help.qlik.com/en-US/sense-developer/June2019/Subsystems/Platform/Content/Sense_PlatformOverview/Concepts/concepts.htm https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Promise https://developer.mozilla.org/en-US/docs/Glossary/WebSockets Considerations enigma.js enables communication with the Qlik Engine, but it does not enable embedding Qlik Sense charts. What you do with the information received from the Qlik Engine, such as creating visualizations, is entirely up to you. Getting Started There is an example for getting started using enigma.js both outside of and within the browser at https://github.com/qlik-oss/enigma.js#getting-started. Generally, using enigma.js either from outside or within the browser is similar. You can check out the examples at https://github.com/qlik-oss/enigma.js/blob/master/examples/README.md#runnable-examples as well as the API documentation at https://github.com/qlik-oss/enigma.js/blob/master/docs/api.md#api-documentation to further help you get started. Authentication Like the Capability APIs, enigma.js is not responsible for authentication, as explained at https://github.com/qlik-oss/enigma.js/blob/master/docs/concepts.md#authentication. You can reference the authentication examples at https://github.com/qlik-oss/enigma.js/tree/master/examples/authentication, and explore Authentication Solutions in Qlik Sense. Often, checking if users are authenticated by subscribing to the OnAuthenticationInformation message is helpful. (more information about subscribing to notification messages with enigma.js can be found at https://github.com/qlik-oss/enigma.js/blob/master/docs/api.md#event-notificationname). Usage Referencing the Qlik Engine JSON API is essential. For instance, you may need to use the API to find that the CreateSessionObject method returns a GenericObject on which you can use the GetHyperCubeData method to return an array of NxDataPage which includes an array of NxCellRows, with each one having the properties of an NxCell in case you want to create a hypercube, get data from it, and know what format to expect that data in. You can use other Qlik Sense open source libraries, such as picasso.js and Leonardo UI, to help build your web app. picasso.js is a charting library streamlined for building custom, interactive, and powerful visualizations withQlik integration in mind, and Leonardo UI is a UI component library which a look and feel similar to Qlik Sense. You can also find other Qlik open source software at https://github.com/qlik-oss. ...View More

Hi guys! I'm super excited to invite you to our next Qlik Insider Webinar. In this video I give youthe rundown on what to expect to see on our next webinar focusing on our September and November 2019 releases. Register HERE Now We keep innovating — so you can too. Register for the Qlik Insider Webinar Series to stay connected on our latest releases, and learn how you can benefit from the newest features in our platform. Our next Qlik Insider Webinar is on November 20th. ...View More

I have done many inline loads before, but I was not aware of the delimiter option until recently so I thought I would share what I learned in my blog today. When loading data that is typed in the script or added manually via the Data Manager, an inline load is used. Below is an example - it is a simple load script that includes the Inline keyword as well as square brackets to load data directly from the script versus a file or external data source. Looking at the data in the square brackets, the first line indicates the fields that will be loaded – in this case Name and Age. Each line after that and before the ending square bracket, is a new row of data. Each row is on its own line in the script. This example will load four rows of data with two fields: Name and Age. By default, the field data is separated by commas in the load script – comma is the default delimiter. I recently ran into an issue where the data I needed to load via the inline load script included commas. For example, assume that Name needed to be loaded with the last name first like this: This script would load the last name in the Name field and the first name in the Age field and the actual ages would not be loaded at all. This is because there are only two fields listed to be loaded Name and Age so the script ignores the second comma and the age because a third field was not defined (on the line after the open square bracket). There are a few ways to handle this as seen below: 1) “delimiter is” can be used to define a delimiter other than the default comma; 2) double quotes and 3) single quotes. My preference is to use the “delimiter is” option and to use a delimiter that is not part of the data I am loading. All three of these options load the data correctly. If changing the delimiter, be sure to change it on the row with the column names as well as the rows of data. Using “delimiter is” with the inline load is not required but is useful in certain situations. The delimiter can be any character such as a comma, semi-colon or pipe. The key is to use a character that is not found in the data that is being loaded. Inline can be used to load data as seen in this blog but is can also be added to the script manually via Qlik Sense Data Manager. To learn more about using the Data Manager to load data manually, read my blog titled Manual Entry – Adding data manually in Qlik Sense. Thanks, Jennell ...View More

Hi guys - in my recent post - Take a Tour of Our New Cloud-based editions of Qlik Sense- I gave you a tour of the various interface components and sections of our cloud-based editions of Qlik Sense. If you have not watched Part 1 and Part 2 yet, I suggest you do before watching this BONUS video. To recap, in the tour video I briefly touched on the topic of Spaces. Spaces are the way you secure, organize, manage and publish your Qlik Sense apps. I explained that there is waaaaay...more to be discussed on this topic and that it would be better if it had its own video. Well, that is what we have here today - this is your BONUS video that dives in a bit deeper to Shared and Managed Spaces. Within the cloud-based editions of Qlik Sense we have not only introduced a new user experience with the Hub, but we also added new content management capabilities directly in the Hub where apps are stored, shared and published to what we call - Shared and Managed Spaces. Please note that this video is a bit longer than my normal videos, but well worth the watch as I cover Spaces, roles, permissions and demonstrate the results using various user accounts. Thanks for watching and please post your comments and questions below. Regards, Mike Tarallo [video] ...View More

Quickly learn how Qlik unlocks analytics for more types of users with Natural Language Processing.Natural Language processing is an analytics feature available with our Insight Advisor – it is more than just a search box..watch the video to learn more. Comments, questions? Leave them below. I want to hear from you. [video] ...View More

All these years when I needed a nested data object to create something like a pivot table, I had to get multiple HyperCubes and then refactor them to have one big object with all of the data so we can display them in a webpage. Few weeks ago I came across the newGetHyperCubeTreeData method (note that it has a stability index of Experimental). This basically retrieves data in a nested tree with qNodes. Each qNode represents a Dimension with an array of all the values and the qValues is an array of all of the Measures values. In this example I am connecting to the general Helpdesk app and I will try to create a simple Pivot Table. The first level of data will come from 'Status' and the seconds level from 'Case Owner Group'. The measure will be '=Count([Case Count])'. First, let build the TreeData prop const qProp = { qInfo: { qType: 'data' }, qTreeDataDef: { qDimensions: [ { qDef: { qFieldDefs: ['Status'], }, qSortCriterias: [{ qSortByAscii: -1 }], qValueExprs: [ { qDef: { qDef: '=Count([Case Count])' } }, ], qShowAll: false, qTotalLabel: 'Totals', }, { qDef: { qFieldDefs: ['Case Owner Group'] }, qSortCriterias: [{ qSortByAscii: -1 }], qValueExprs: [ { qDef: { qDef: '=Count([Case Count])' } }, ], qNullSuppression: true, qShowAll: false, qTotalLabel: 'Totals', }, ], qInterColumnSortOrder: [0, 1], qOpenFullyExpanded: true, qTitle: 'Pivot Table', }, }; Then , get the tree data by using theGetHyperCubeTreeData method const qObject = await qDoc.createSessionObject(qProp); const qData = await qObject.getHyperCubeTreeData('/qTreeDataDef'); The results should be like As you see above we have each dimension values nested under qNodes. Now that we have all the data in one object, we can create the pivot table. Here is the live examplehttps://qdt-apps.qlik.com/qdt-components/react/#/pivot-table-engine More reading:https://help.qlik.com/en-US/sense-developer/June2019/APIs/EngineAPI/services-GenericObject-GetHyperCubeTreeData.html https://help.qlik.com/en-US/sense-developer/June2019/APIs/EngineAPI/definitions-TreeDataDef.html https://help.qlik.com/en-US/sense-developer/June2019/APIs/EngineAPI/definitions-NxTreeDimensionDef.html https://help.qlik.com/en-US/sense-developer/June2019/APIs/EngineAPI/definitions-NxTreeDataOption.html Happy Coding!! Yianni ...View More