Sales and marketing analytics is one of the most high-profile focus areas for organizations today, and for good reason – it’s the place to look to boost revenues.
Over the last few years, there has been a mad rush within enterprise organizations to move big data workloads to the cloud. On the surface, it would seem that it’s a bit of a keeping up with the Joneses syndrome with organizations moving big data workloads to the cloud simply because they can.
Our customers tell us they don’t just want to migrate their applications from point A to point B, they want to modernize their applications with cloud-native technologies and techniques, wherever those applications may be. Today, we’re excited to tell you about a variety of new customers that are using Anthos to transform their application portfolio, as well as new cloud migration, API management, and application development offerings:
At Kong, we leverage many tools to protect our services and customers. Terraform from HashiCorp allows us to automate the process with Infrastructure as Code (IaC). Another important tool is Amazon Web Services (AWS) GuardDuty, a continuous monitoring service for security threat detection in your AWS accounts.
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.
To maximize the benefits of cloud, data & machine learning and make it available to innovative digital teams and customers, the data lake is the definite reference model. How can we accelerate its implementation and scope without losing control or jeopardizing its sustainability?
The ability for cloud data warehouses to provide a single platform that enables organizations to analyze data at any scale is a market changing capability. Sure, much has been made of the ability of applying Artificial Intelligence (AI) to this data to gain insight into new areas, ultimately to increase an organization’s competitiveness. There is however a greater level of impact that this architecture can have that can be independent of AI and ultimately inclusive of AI.
