by Angela Guess

A new release out of the company reports, “Snowflake Computing, the cloud data warehousing company, today announced new, automation capabilities for the Snowflake Elastic Data Warehouse that dramatically simplify data warehousing administration and data protection for diverse data and SQL analytics in the cloud. Snowflake’s automation capabilities eliminate the manual, administrative overhead and complexity associated with managing and protecting data warehouses for multi-structured big data.”

The release continues, “Traditional data warehousing generates slow, inflexible and costly data analytic cycles — from data import to business insights — which creates user pain and frustration. This has been true especially for data warehousing, and even for big data solutions such as Hadoop, when there is a need to apply fast, low-latency SQL analytics on diverse, multi-structured data. At the same time, the database analytics industry has entered a new era of needing to fulfill the needs of diverse-data driven applications in combination with the requirements of normal BI and reporting tools. Manual administrative overhead, complex implementation and concurrent data processing delays make integration of analytics with diverse-data driven apps difficult.”

It goes on, “Snowflake is delivering a set of new innovations that address the complexity and admin overhead pain-points that typically accompany the warehousing and analytics of large, diverse data sets. These capabilities automatically: Scale performance in the event of a high concurrency — without delay or operator intervention; Optimize performance for dashboarding and reporting — return results for repeated queries faster and without manually evaluating or re-issuing the queries; Implement data milestoning — to make it easy to recover data, at or before any specified point, and automatically rerun queries in the event of data loss or corruption.”

Read more at Marketwired.

Photo credit: Snowflake