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Sigma Computing Extends Sigma with Release of Dataset Warehouse Views
Sigma Computing, a provider of cloud-native analytics and business intelligence (A&BI), is extending the power of Sigma to be used throughout the cloud data analytics stack.
“The proliferation of SaaS tools has not only resulted in mountains of data but also a number of applications that you need to be able to access all that data in,” said Rob Woollen, CEO and co-founder, Sigma Computing. “With Dataset Warehouse Views, organizations can now rely on Sigma for datasets and analyses wherever they need them. IT and data teams will also no longer have to make the false choice between a portfolio of best-in-class data tools and settling for less performance in a single vendor solution to aid data management because Sigma can easily sit at the center of an organization’s cloud data ecosystem, connecting all the dots and maximizing data’s value.
With this feature, Sigma is the first to provide non-technical users with the ability to create a dataset and write it back to the cloud data warehouse (CDW) for use across the organization without needing to write code.
The company is also jump-starting analysis and expediting time to insights with the launch of its first template for customers on Snowflake.
New Dataset Warehouse Views make it possible for all data analysis and modeling created in Sigma to be written back to a CDW as a live dataset and used in countless internal and external systems and applications, as well as embedded into custom mobile and web applications, including visualization tools.
Sigma automatically generates SQL code for any action taken in the Sigma Spreadsheet, enabling anyone that knows how to use a spreadsheet to query the cloud data warehouse and create datasets that have all of the features of tables, including links.
Dataset Warehouse Views stay in sync with the dataset from which they are created because Sigma automatically updates each warehouse view to match any changes published to the dataset.
Templates provide a pre-built starting point to begin working with data sources, making it easier to build new, complex analyses quickly.
Sigma will offer templates for data connections, dashboards, and worksheets to extend the value of Sigma to teams who may not have the bandwidth or ability to create them from scratch. The first template available is for Sigma customers using Snowflake and provides three pre-built dashboards.
Sigma and its partners will continue to develop templates for the most common Sigma use cases.