Systems | Development | Analytics | API | Testing

Time To Put on Our DataOps Lab Coat

Over the past several weeks, the term DataOps has reverberated throughout the walls of Hitachi Vantara offices around the world and soon it will take the spotlight at NEXT 2019, the world’s first smart conference. We’ve defined DataOps and how its changing the game by putting the right data into the hands of teams, when and where they need it most. We’ve also talked about Hitachi Vantara’s DataOps journey, Project Champagne.

Anscombe's Quartet

In this blog post I’m going to write about a famous piece in visualization history. How can we prove that a visualization is more worth than just looking at the data? That’s a question Francis Anscombe probably asked himself when he back in 1973 constructed the dataset that became known as Anscombe's quartet. A dataset he could use to show statisticians how wrong they were thinking that “numerical calculations are exact, but graphs are rough."

Data to the people - Why this app will change the way more people engage with data

The answer to creating an inclusive data culture is in your hands. At Yellowfin, we firmly believe that organisations are far more successful when all their people engage with data. And whilst this has always been the goal of organisations on their journey to being “data-led”, the reality is most are still a long way off. For this to happen, all decision makers need access to insights, in a way that they can understand, not just the data analysts.

What to expect from Yellowfin's new mobile app

We've got a brand new mobile application coming now out and lots of people have been asking me what’s in it. To be honest, it's much easier to tell you what's not in it - and that’s dashboards and reports. I can hear you saying, ‘How can an analytics vendor have a mobile app with no dashboards or reports?’ But the truth is no one really uses a mobile app to view dashboards or reports. It's the wrong format for looking at a clunky dashboard or detailed report.

Unravel and Azure Databricks: Monitor, Troubleshoot and Optimize Apache Spark in the Cloud

We are super excited to announce our support for Azure Databricks! We continue to build out the capabilities of the Unravel Data Operations platform and specifically support for the Microsoft Azure data and AI ecosystem teams. The business and technical imperative to strategically and tactically architect the journey to cloud for your organization has never been stronger.