{"id":37334,"date":"2018-10-03T14:36:56","date_gmt":"2018-10-03T09:06:56","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=37334"},"modified":"2021-12-07T11:24:08","modified_gmt":"2021-12-07T05:54:08","slug":"qlikview-november-2017","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/qlikview-november-2017\/","title":{"rendered":"QlikView November 2017 – Features of QlikView Version 12.2"},"content":{"rendered":"

Today, we will talk about the latest QlikView Version<\/strong><\/a> – QlikView November 2017 (QlikView Version 12.2). The new release comes with several interesting features like analytic connectors, web client improvement, performance and scalability improvements, new administrator features etc.\u00a0<\/span><\/span><\/p>\n

So, let’s start Features of QlikView November 2017.<\/p>\n

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QlikView November 2017 – Features of QlikView Version 12.2<\/p><\/div>\n

QlikView November 2017: Version 12.2<\/h3>\n

The new version of QlikView has released in the month of November 2017 and is numbered 12.2. Its new features discussed in detail in the following section. The main highlights of this version make it more user-friendly and convenient. <\/span><\/span><\/p>\n

New Features of QlikView November 2017<\/h3>\n

So, let’s discuss some features of QlikView November 2017 (QlikView November 12.20).<\/p>\n

i. Analytic Connections<\/h4>\n

The Analytic connections or analytical integrations allow users to connect to external third-party calculation engines for advanced data analysis. Analytic connections make to extend the built-in functions or expression libraries (R, Python etc) to apply to data sets. Such external plug-in connections can establish for both load scripts or chart expressions enhancement.<\/span><\/span><\/p>\n

Do you know What Loosely Coupled Tables in QlikView?<\/a><\/strong><\/p>\n

The connection makes through a Server-Side Extension (SSE) setup and protocol. The SSE is an open source repository support by Qlik for both QlikView and QlikSense. The SSE protocol connects to the server through a gRPC system which establishes a connection between the server engine and plugins (R, Python, Java etc) upon Qlik client\u2019s request. gRPC supports more than ten computer languages for plug-ins. <\/span><\/span><\/p>\n

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Features of QlikView November 2017 – Analytic Connections<\/p><\/div>\n

QlikView community recommends a few security practices to keep in mind while making analytic connections to ensure a secure application environment. The account right using analytical connection services must set to minimum and the plug-ins must install in a secure environment. <\/span><\/span><\/p>\n

The AllowScript option recommends disabling as it might run random unwanted scripts on its own. The predefined functions must allow instead. Restrict the variable format (e.g. to just numeric values) to have control over the way you want to handle the data values.<\/span><\/span><\/p>\n

ii. Web Client Improvements<\/h4>\n

The web clients are the end users or the front-end user which work and create the QlikView dashboard and applications. Several improvements in the QlikView November 2017 version have been made.<\/span><\/span><\/p>\n