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Analytics

Build an Enterprise Level Password Vault with Talend and CyberArk

In this article, we are going to show how easy it is for Talend to integrate with enterprise password vaults like Cyberark. By doing this no-developer has direct access to sensitive passwords, Talend need not know password during compile(design) time, and password management (change/update password) is done outside of Talend. This saves administrators time as well as improves the security of the overall environment.

Don't Let your Data Lake become a Data Swamp

In an always-on, competitive business environment, organizations are looking to gain an edge through digital transformation. Subsequently, many companies feel a sense of urgency to transform across all areas of their enterprise—from manufacturing to business operations—in the constant pursuit of continuous innovation and process efficiency.

Qlik's Multi-Cloud Solution - Part 1 - Introduction

In Part 1 of this 2 part video, we introduce our new Multi-Cloud Strategy. Our first phase of multi-cloud capabilities are part of the June release for Qlik Sense Enterprise. They enable Qlik Sense Enterprise users to distribute apps from Qlik Sense Enterprise running on Windows to highly-elastic cloud environments for consumption.

Data Festival London - From "Data reporting" to "Data storytelling"

As Chief Data Storyteller & Managing Director of strategy consultancy 36ns, Emily Hunt spends a lot of time helping to translate between the data people and the words people (and trying to tackle data-phobia amongst the words people). In this talk, she lays out her 3 key steps for data-driven teams to translate their work for their stakeholders.

Visualizing Distributions

In my last blog post, I finished up how to create maps with your data using either point, area or flow representation. Today we’re starting with a new topic focusing in on how to visualize the distribution of data. You may remember from my “Mapping data to visualization usage” post that one way to break down the usage of chart is to divide them into these four groups: Comparison, Composition, Distribution and Relationship.