Oct 19, 2023
The modern data stack is a collection of cloud-based tools and
technologies used to collect, store, process, and analyze data in a
scalable way. It is a departure from traditional data stacks, which
were often based on on-premises infrastructure and were not as
well-suited for handling large volumes of data or complex data
pipelines. But with this new approach comes complexity, and
organizations must determine if the value outweighs the cost.
Another, newer route has emerged for companies interested in
serious analytical power: Hyperscale! This new architecture
leverages an array of technical advances, including
compute-adjacent storage, simplified data pipelines that make data
available to more users, built-in integrations for a whole host of
data sources, and machine learning algorithms baked into the
architecture. Learn more on this episode of DM Radio as Host
@eric_kavanagh interviews Chris Gladwin, CEO of Ocient, and Hyoun
Park of Amalgam Insights.