INTELLIGENT BRANDS // Cloud
Snowflake announces new features to bring together the world ’ s data in the Data Cloud
Advancements to data programmability , global data governance and platform optimisations empower more users than ever before with extensibility and choice .
Snowflake , the Data Cloud company , has unveiled its latest product innovations to redefine what ’ s possible in the Data Cloud .
The company has announced innovations in data programmability , global data governance and platform optimisations to empower organisations to bring more data together in the Data Cloud , achieving deeper value from data and powerful business insights .
Data programmability innovations :
• Snowpark . With initial support for Java and Scala , Snowflake ’ s developer experience , Snowpark , allows data engineers , data scientists and developers to build using their preferred language and familiar programming concepts , and then execute these workloads directly within Snowflake .
• Java UDFs . With Java user-definedfunctions ( UDFs ), customers can bring their custom code and business logic to Snowflake for better performance and expanded use case capabilities , all while reducing management complexity .
• Unstructured data . Snowflake is bringing accelerated time-to-value to unstructured data , enabling customers to store , govern , process and share file data alongside their structured and semi-structured data and unlock new revenue opportunities .
• SQL API . The Snowflake SQL API enables custom and off-the-shelf applications to call Snowflake directly through a REST
API , without the need for client-side drivers , thus reducing the complexity and administration overhead requirements .
Snowflake customers like Sainsbury ’ s are already leveraging Snowflake ’ s data programmability capabilities .
“ Snowflake enables us with a flexible , scalable toolset and processing power to bring together granular data and build upon the data we already have ,” Sainsbury ’ s Senior Data Viz and Automation Manager , Steven Henson-Tyers said , “ With Snowflake ’ s Data Cloud , our data scientists have more access to the near real-time information needed to build and iterate on models more quickly and effectively .”
In addition to Snowflake ’ s core innovations in this area , it continues to expand and deepen its partner ecosystem . The new Snowpark Accelerated Program provides partners who integrate with Snowpark with access to technical experts and additional exposure to Snowflake customers .
Data science partners like Dataiku and DataRobot also continue to enhance their integrations with Snowflake . In addition , Amazon Web Services ( AWS ) has launched Snowflake integration with Amazon SageMaker Data Wrangler . Snowflake can now be used as a data source in Amazon SageMaker Data Wrangler to easily prepare data in Snowflake for Machine Learning . p
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