Systems | Development | Analytics | API | Testing

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.

Quick wins for modern analytics projects with Amazon Redshift and Stitch Data Loader

It’s no secret that the cloud data warehouse space is exploding. Driven by the need for on-demand, performant data warehousing solutions, businesses are turning to public cloud providers to modernize their analytics infrastructure and help them make better business decisions. Among the leading data warehouse options from the public cloud providers is Amazon Redshift. Redshift offers a petabyte-scale, fully managed data warehouse service in the cloud.

Speed and Trust with Azure Synapse Analytics

As a Microsoft partner, we’re excited by the announcement of the Azure Synapse Analytics platform. Why? Because it furthers the ability of businesses to leverage data-driven insights and decision making at all levels in an organization. (And we love that!) Together, our joint customers are already leveraging data in amazing ways to tackle everything from creating customer 360 views to reducing project times for data analytics from 6 months to 6 weeks.

How to use your data skills to keep a step ahead

While the impetus for transforming to a data-driven culture needs to come from the top of the organisation, all levels of the business should participate in learning new data skills. Assuring data availability and integrity must be a team sport in modern data-centric businesses, rather than being the responsibility of one individual or department. Everyone must buy in and be held accountable throughout the process.