Snowflake’s latest launch Data Cloud will help enterprises to mobilize their data, break down data silos, and gain valuable insights to make faster data-driven decisions.
Data silos are among the biggest challenges and roadblocks for many companies, when it comes to making strategic business decisions. It defeats the purpose of a collaborative culture and creates a fragmented environment. The increasingly complex data landscape is challenging for most business leaders- a 2019 surveyOpens a new window found that over 47% marketers felt their data was in silos and difficult to access. A 2018 survey of IT decision makersOpens a new window found that only 2% of companiesOpens a new window rated themselves as completely effective at data sharing. All of which confirms what business leaders grapple with on a day to day basis: data silos are a real block to leveraging data for analytics and business decision making.
At the Say Hello to Data CloudOpens a new window virtual event, cloud data warehouse company Snowflake announced the launch of Data Cloud, an ecosystem for customers and data providers to aggregate data, break silos and deliver valuable insights from data sets.
Snowflake CEO Frank Slootman had earlier highlighted various challenges with data silos in this postOpens a new window , including:
- The loss of critical business insights due to the difficulty in joining, augmenting and integrating data from different silos
- The data governance nightmare posed by fragmented and proliferated data
- The cost inefficiencies of managing capacity in such fragmented environments
Leveraging secure data sharing technology and the Snowflake Cloud Data Platform which underpins the Data Cloud; customers, partners, and data service providers can share live data in a manner that is secure and well-governed.
The end-to-end process is virtual and frictionless, as data shared is streamlined with zero latency. Irrespective of different cloud providers and geographical regions, organizations can move their siloed cloud repositories and on-premises data centers to Data Cloud via Snowflake Cloud Data Platform.
In the context of organizations struggling to mobilize data for better decision making, CEO Slootman said in a company release that “Snowflake was specifically architected to leverage the incredible scale and computing power of the cloud. As part of the Data Cloud, organizations fully mobilize their data by blending and joining data with broader context, giving them the power to achieve crucial insights beyond what has previously been possible.â€
Learn More: Snowflake Is Now Worth $12.4B After Raising $479M in FundingOpens a new window
Expansion of Cloud Data Warehouse Capabilities
One of the major players in the cloud data warehouse market, Snowflake announced some interesting new features to its Snowflake Cloud Data Platform:
- Snowsight: a new schema browser to execute data queries and commands in Snowflake. Also helps to collaborate and visualize data for a streamlined experience
- Dynamic Data Masking: users can create policies to limit data visibility (still in private view)
- External Tokenization: integrates with third-party tokenization solutions to secure sensitive data
- Search Optimization Service: reduces data scan time and improves performance
- Java Functions: create user defined functions in Snowflake with different programming languages
- Data Exchange: create data exchanges with a set of partners, suppliers and customers in a secure and governed manner
- Snowflake Data Marketplace: users can discover and access third-party data sets for richer analytics and data transformation
“The feature enhancements we’re announcing today will help companies unify, integrate, analyze, and share virtually any amount of data, eliminating the complexity and friction of alternative solutions,†Snowflake’s Senior Vice President of Product, Christian Kleinerman said.
In separate news, Snowflake announced a slew of technology innovations from its partnership with global CRM company Salesforce, to deliver data and analytics modernization and boost business transformation.
Connecting Dots. #SnowflakeOpens a new window today rolls out several new Salesforce integration tools. Customers can now move Salesforce data to Snowflake’s cloud data warehouse and analyze it using Salesforce’s Einstein and Tableau business intelligence tools.
— Wei Wang (@wei_Shenzhen) June 3, 2020Opens a new window
Let us know if you liked this news on LinkedInOpens a new window , TwitterOpens a new window , or FacebookOpens a new window . We would love to hear from you!