Managing Multi-Cloud Data Strategies at Enterprise Organizations

The advent of cloud computing has profoundly changed the approach many organizations take towards data and analytics. Firms are seeking and realizing benefits with their cloud-hosted data solutions including reduced costs, greater agility, enhanced performance, easier scalability. The cloud landscape has evolved over time, with a few popular, large vendors in the form of Amazon Web Services, Google Cloud, and Microsoft Azure, and several compelling cloud-based solutions and platforms, such as Databricks and Snowflake, which often are available across vendors. An inevitable consequence is the increasing recognition of the importance of multi-cloud data strategies. There are a number of explanations for why organizations may already be multi-cloud in nature. Whether currently multi-cloud oriented or not, there are a number of compelling reasons for companies to pursue intentional multi-cloud approaches. In this recorded webinar, Thorogood Data and AI consultants Alaistair Jones and Fernando Takeshi seek to define multi-cloud data strategies, share our experience with enterprise organizations regarding how multi-cloud may come to be a reality, and explore the benefits and considerations of a multi-cloud data strategy.

• #science_technology
• #cloud
• #multicloud
• #data_and_ai
• #aws
• #google_cloud
• #azure