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"The Expanse" (...of Data)

Back in my college years, I used to listen a lot to the English rock band The Sisters of Mercy. One of my favourite songs is called “More” from the album “Vision Thing.” Singer-songwriter Andrew Eldritch wrote the track around love, lust and broken relationships; his brooding tones repeatedly hammers out the demanding line “I want more” – a line which rings true today for our never-ending lust for data.

What Does Culture Have To Do With DataOps? Everything!

Welcome back to DataOps central! My colleagues and I have been blogging and podcasting about the many critical facets of DataOps, which has the power to automate processes to get the right data to the right place at the right time. We’ve examined everything from the key components of the DataOps methodology to the data science behind it all. But one area we haven’t touched on yet is the culture component. You may be asking what do DataOps and culture have to do with one another.

5 best practices to innovate at speed in the Cloud: Tip #4 Perform faster root cause analysis thanks to data lineage

Like any supply chain that aspires to be lean and frictionless, data chains need transparency and traceability. There is a need for automated data lineage to understand where data comes from, where does it go, how it is processed and who consumes it. There is also a need for whistle blowers for data quality or data protection and for impact analysis whenever change happens.

Yellowfin 9: Our new developer platform

Seek, who is one of our customers, came to us with a laundry list of functionality that their developers wanted. Like many enterprises, they have their own developers who are asked to deliver a design for their UX team and they need and environment where they can do that. They didn’t want us to worry about the UI, they just wanted the ability to code what they wanted directly into the Yellowfin dashboard environment, so we created Yellowfin 9 Code Mode which is our developer platform.

Birds migrate. But why do data warehouses?

Well, let’s be specific here. Birds migrate either north or south. Data warehouses are only going in one direction. Up, to the cloud. It’s a common trend we’re seeing across every vertical and across every region. Companies are moving their existing data warehouses to cloud environments like Amazon Redshift. And more often than not –unlike their feather counterparts– ­once they migrate to the cloud, they never come back. But why? Simply put, it just makes sense.

The Qlik Sense November 2019 Release

With our last release of the year, we are happy to deliver several product enhancements that will set the stage for a successful new year ahead and close out on a host of exciting enhancements throughout 2019. The Qlik Sense November 2019 release introduces expanded cloud connectivity, SOC 2 Type 2 certification, new visualization capabilities, mobile offline support for Android, reporting improvements and more.

5 best practices to innovate at speed in the Cloud: Tip #3 Enable access to and use of self-service applications

Data professionals face an efficiency gap; they spend too much time to get access to the data they need and then put it into the appropriate business context. The capacity of delivering trusted data to business experts at the point of need is critical if you want to liberate data value within your company.