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How to build a data strategy focus on the best-of-breed outcome? Discover the five differentiating traits among successful data engineering teams.
We’re excited to introduce Robin Rostratter as Head of EMEA sales to better engage and support our existing and new business in Europe, Middle East, and Africa.
Free Ingest on Snowflake is a new feature that reduces an enterprise’s data ingest cost and delivers data products up to 7x faster.
Discover how reverse ETL empowers teams across the business to operationalize their data, rather than keeping all data in a centralized silo.
Explore the differences between ETL vs ELT, why ETL is shifting towards ELT, and what can we expect in the future.
Data migration is a common undertaking for data teams. Yet, many underestimate the process. Discover how to keep from making the same mistake.
With Demands on Data Teams Surging and the Need for Data Automation Skyrocketing, Snowflake Users Now Have Exclusive Developer Tier Access to the Ascend Data Automation Cloud
As Part of the Snowpark Accelerated Program, the Ascend.io Snowpark for Python Integration Extends End-to-end Automation for Multi-language Workloads With Access to the Rich Open Source Ecosystem on the Snowflake Data Cloud
Adoption Rising as the Need for Data Products Grows Faster Than Team Size and a Staggering 95% of Data Teams Are Still at or Over Capacity
Tiger Global, Shasta Ventures, and Accel Back Ascend.io’s Advanced Data Automation Cloud to Dramatically Increase Data Team Productivity
Data orchestration is the step in the data management process that leverages software to optimally and efficiently move and process data.
Data ingestion is the process of transporting data from one or more sources to a storage location where it can be analyzed and used by an organization
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