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As enterprises proceed to embrace cloud-based analytics, the want for sturdy semantic layers is changing into more and more evident. It helps organizations with information entry, ensures consistency throughout BI instruments, and enforces robust governance and safety. A common semantic layer could possibly be the key to unlocking worth from enterprise information. .
To satisfy the rising want for higher analytics, AtScale and Dice have introduced new integrations. AtScale is strengthening its partnership with Snowflake by working with Cortex Analyst to allow pure language SQL queries. Dice is enhancing its help for Microsoft by including direct integrations for Energy BI and Excel.
AtScale and Snowflake Deliver AI-Powered Pure Language Queries to BI
With its integration into Snowflake Cortex Analyst, AtScale brings a governance layer to AI-generated SQL queries. This ensures the queries match enterprise definitions and keep correct.
The mixture of Snowflake’s pure language processing and AtScale’s semantic layer reduces ambiguity in question outcomes whereas enhancing efficiency. Additionally, AtScale’s optimization engine enhances efficiency by automating information processing and decreasing the load on Snowflake’s cloud information warehouse.
AtScale additionally offers security measures, like object and row-level safety, to verify AI-generated insights comply with firm insurance policies. These mixed capabilities assist non-technical customers work with information simply whereas nonetheless getting dependable, safe, and quick outcomes for large information evaluation.
Snowflake sees the mixing as a means to enhance the standard and accuracy of information queries. “Our integration with AtScale improves the standard of the semantic layer that sits between the consumer’s question and the underlying information,” mentioned Abhinav Vadrevu, Senior Product Supervisor at Snowflake.
“This finally results in vital enhancements in textual content to SQL high quality. By combining Cortex Analyst with AtScale’s semantic layer, customers can get right solutions in seconds. In the end, this protects hours on handbook SQL verification, resulting in a lot sooner time to perception.”
The important thing advantages of the AtScale and Snowflake Cortex Analyst integration embrace higher alignment between AI-driven queries and outcomes from BI instruments. This consistency helps companies belief their information, to allow them to make higher choices with out worrying about variations within the outcomes.
The combination between AtScale and Snowflake Cortex Analyst builds on AtScale’s earlier efforts to enhance pure language queries and information governance.
In September 2024, AtScale launched the open-source Semantic Modeling Language (SML) to boost semantic mannequin portability and foster a vibrant group of mannequin builders. Later within the 12 months, AtScale launched a public leaderboard for Textual content-to-SQL options to set clear requirements for evaluating pure language queries.
Dice Launches Dice Cloud for the Microsoft Enterprise
The deeper integration with the Microsoft ecosystem strengthens Dice Cloud’s function as a supplier of a common semantic layer for Microsoft enterprises.
Dice is introducing two main upgrades to its Microsoft integrations. The primary is the Information Evaluation Expressions (DAX) API for Energy BI, by which customers can join natively from Energy BI to Dice and question Dice information fashions in actual time. This setup offers customers stay entry to information in cloud warehouses like Databricks and Snowflake from Energy BI whereas protecting all of the highly effective options of the DAX question language.
The opposite crucial enhancement is the Dice Cloud for Excel Add-In that connects to ruled information with Excel desktop or Excel on-line. Dice claims that the customized interface permits customers to kind and filter by the info and replace their evaluation with a single click on.
As a substitute of manually exporting or taking snapshots of information for evaluation, Dice’s MDX API and Excel Add-in present real-time connections to cloud datasets. This minimizes inefficiencies and outdated data.
“Enterprises are quickly adopting cloud information platforms like Microsoft Azure, Snowflake, and Databricks,” mentioned Artyom Keydunov, CEO and Co-Founding father of Dice. “Nonetheless, the shift to the cloud has left many organizations with out a trendy OLAP resolution for multidimensional evaluation that may combine with a broad ecosystem of information consumption instruments.”
“At present, we’re excited to announce our native integrations with Excel and Energy BI. With our new DAX API, enterprises can question information stay, with out extracts, in cloud information warehouses, equivalent to Snowflake and Databricks, straight from Energy BI.”
Previous to this launch of Dice Cloud for the Microsoft Enterprise, Dice had been progressively enhancing its integrations throughout the Microsoft ecosystem. In mid-2024, Dice introduced compatibility with Microsoft Entra ID (previously Azure Lively Listing), enabling enterprises to supply single sign-on experiences for customers accessing Dice Cloud. These efforts mirror Dice’s continued growth throughout the Microsoft analytics ecosystem.
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