To say that organizations today are facing a complex data landscape is really an understatement. Data exists in on-premises systems and in the cloud; data is used across applications and accessed across departments. Information is being exchanged in ever-growing volumes with customers and business partners. Websites and social media platforms are constantly adding data to the mix.

Today, we're excited to share two announcements that make adopting Microsoft Azure SQL Data Warehouse (ADW) a no-brainer. First, ADW significantly increased the lead over the competition with the new price-performance benchmarks published by GigaOm, showing exponential price-performance improvements over similar solutions.

Last June, we released the first phase of multi-cloud deployment options for Qlik Sense Enterprise – our first in a series of steps in delivering unparalleled flexibility and choice in how you deploy analytics across public and private clouds, and on-premise.

From augmented intelligence to multi-cloud deployment, here's a look back at our path to innovation in 2018.

Serverless and event-driven computing are gaining traction, providing cost savings in the cloud and more efficient resource utilization on premise. Watch this talk recording to hear Kong CTO Marco Palladino moderate a panel discussion with industry leaders about the rise of serverless, its interactions with other cloud-native technologies, the challenges of implementing it, and where the field is headed in the future.

Today at KubeCon, we announced the launch of Kong Cloud – a fully managed version of Kong Enterprise designed to accelerate large organizations’ digital transformation initiatives. With Kong Cloud, customers can instantly start building cloud native services and connect all their services across different environments, vendors and platforms.

As enterprises move towards massively scaled interconnected software systems, they are embracing the cloud like never before. Very few would dispute the notion that the cloud has become one of the biggest drivers of change in the enterprise IT landscape and that the cloud has provided IT a powerful way to deploy services in a timely and cost-effective manner.

In the last few years, we’ve seen the concept of the “Cloud Data Lake” has gained more traction in the enterprise. When done right, a data lake can provide the agility for Digital Transformation around customer experience by enabling access to historical and real-time data for analytics.