Systems | Development | Analytics | API | Testing

Organizations with data strategies in play for more than a year found that those strategies were more successful and more effective. Cindy Maike, VP of Industry Solutions and Value Management explains how kickstarting your data strategy now will help your business meet unforeseen challenges to the industry.

This week we introduce a powerful new capability that allows you to provide and manipulate data directly within a chart object using script. Chart Level Scripting allows users to modify the data set behind a chart using a subset of the Qlik scripting language, using techniques such as variables and loops. Rows and columns can be added or modified that were not in the original data set enabling calculations that have previously not been possible in chart expressions or with variables. Simply enable the app for chart scripts, under measures add your script under the script section – and along with the appropriate dimensions– you will see your charts reflect the data provided by the script which also can be changed in real-time with the use of variables and expressions. Offering a new way to analyze your data such as simulations and goal seeking.

Writing and sharing stored procedures in Snowflake just got easier with the general release of the new Snowflake Scripting feature. It’s a feature that saw wide adoption when it was in public preview, says Felipe Hoffa in this episode of “Snowflake Bytes,” which is understandable, he says, given how much less code you need when writing in SQL versus JavaScript. Check out the video to learn more..

See the possibilities when you unleash SAP data in Azure and how Qlik Data Integration can automate and deliver real-time SAP data with change data capture (CDC) to Azure Synapse to create analytics ready data sets for better business insights.

In this video we will show how we can build context-aware applications so, your applications will know not just whether they are in Development, Test or production, but also whether they are a Sales, Finance or HR app. We will do this using built-in functionality of Qlik Cloud. We will also look at using these techniques to manage external script libraries so we can ensure we use the correct version of libraries based on where our apps reside.

Data pipelines are the lifeblood of data-driven enterprises. From data ingestion to distributed processing, data engineering spans across many data infrastructure layers and encompasses complex development lifecycles. It is not trivial to build a successful data engineering practice.