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White Paper

Snowflake: One Cloud Data Platform for All Your Analytics Needs

DELIVER ALL YOUR DATA WORKLOADS WITH SNOWFLAKE Gartner predicts that 75% of all databases will be deployed or migrated to a cloud platform by 2022. But how does e a cloud data platform enable a long-term strategy for maximizing all of an organization's data assets? Snowflake's cloud data platform is a highly extensible, multi-region and multi-cloud platform that powers all types of data workloads. Specifically, Snowflake: To learn everything Snowflake offers today's, forward-looking organizations, download our white paper, Snowflake: One Cloud Data Platform for All Your Analytic Needs.

Headless Testing Primer

This white paper presents a primer on headless browser testing - what it is, how it works, and where it fits within a quality strategy that includes other types of testing (such as cross browser, front-end performance, and more). It is a must-read for any team that is considering shifting testing left, and provides insight into how you can get started with headless testing.

How Snowflake's Cloud Architecture Scales Modern Data Analytics

Companies are moving workloads to the cloud as they seek to improve speed, scale, and agility. Today's data warehouse managers want to boost analytics productivity, increase the ability to scale instantly, and ingest and support a diverse set of data without bottleneck delays. In this white paper, we explain how Snowflake delivers the speed, scale, and agility organizations need for data-driven decision-making.

System Integrators Can Expand Revenue Streams Through Standardization

The impact of cloud computing is immense, with more and more businesses widely using cloud business applications. Integration scenarios that system integrators address on a regular basis are often repetitive. Sophisticated integration solutions are, however, in most cases out of SMBs' financial range. This creates a gap between the increased SaaS consumption and the ability to integrate cloud-based services efficiently.

Designing Web-Scale Workloads with Microservices

Containers and microservices are redefining the software development lifecycle. Developers are empowered to choose best of the breed languages, frameworks, and runtimes to develop software. DevOps teams are dealing with new packaging and deployment mechanisms. Container orchestration tools such as Docker Swarm, Kubernetes, Apache Mesos are changing the way applications are deployed and managed.