New Talend and Snowflake Features Enable Faster Cloud Analytics Migrations
High-performance bulk loading and native ELT push-down capabilities move massive data volumes from on-premises to cloud
Talend, a global leader in cloud data integration, and Snowflake Computing, the data warehouse built for the cloud, today announced the availability of new, high-performance bulk loading and native, Extract, Load, Transform (ELT) push-down capabilities that make it fast and efficient to move massive data volumes and varieties from on-premises to Snowflake for cost-effective and scalable analytics.
The companies are also promoting free 30-day trials of Talend Cloud and Snowflake to jump-start customer cloud projects and introduce an entirely new audience of developers and companies to how quick and easy it can be to move to the cloud. Included with the trials is a tutorial to lead users through the common use case of transferring data from Salesforce. The tutorial includes step-by-step instructions for accessing, extracting, and filtering data from Salesforce.com and writing filtered results to Snowflake for analytics.
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“Our growing list of joint customers is a testament to the compelling value we provide to companies looking to leverage the cloud for faster analytics,” said Ashley Stirrup, CMO, Talend. “With our latest capabilities, we’re capitalizing on the native power of Snowflake to deliver a whole new level of performance and scalability.”
A Talend and Snowflake customer, Decision Resources Group (DRG) is the premier source for global healthcare data and market intelligence. DRG software-as-a-service (SaaS) products, built using extensive real-world data and research insights, are designed to empower organizations to succeed in complex healthcare markets. The company turned to Talend and Snowflake to streamline their existing data assets company-wide, generate deeper customer insights and develop new products.
“We had a period of extremely rapid data growth combined with high demands from a growing user community, and our existing infrastructure was not able to scale effectively,” said Sven Junkergard, CTO, DRG.
Sven added, “Our team searched for the best possible technology to support our new reality and we decided to move forward with the combination of Snowflake and Talend. After an initial, brief period of rebuilding existing capabilities on this new platform, we were able to quickly implement new functionality. Today, we are supporting many times more data and users than before our move. The Snowflake and Talend combination has been a great success story for us so far.”
The new ELT push-down capabilities Talend and Snowflake are introducing allow developers to perform data processing and transformations directly in Snowflake resulting in 10X greater performance than using traditional ETL processing. Similar gains can also be achieved with the new bulk-data loading capability that leverages the latest Snowflake APIs for rapidly transferring large data volumes into the cloud data warehouse.
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Using Talend and Snowflake, enterprises can institute a robust cloud data warehouse strategy that allows customers to —
- Successfully unite diverse data sources, both structured and unstructured, on-premises or in the cloud, providing their organizations with an end-to-end view of enterprise information.
- Maintain data veracity and quality, ensuring that business analytics emerge from a single source of truth.
- Establish collaborative data governance, which is increasingly important in today’s highly regulated and risky business environment.
- Enable self-service data analytics for an unlimited and diverse range of business users so they can make data-driven business decisions.
“The benefits of cloud computing continue to urge enterprises to retire their on-premises solutions,” Snowflake’s Director of Alliances, Saqib Mustafa said.
Saqib added, “But the key to their success is fast and efficient migration. Snowflake and Talend’s latest product advancements take full advantage of the cloud, delivering faster time-to-value and ultimately transforming organizations into data-driven leaders.”
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