Organizations are moving their most valuable data to the cloud for performance, collaboration and cost benefits. For optimal cloud adoption, data teams need to first migrate the right data to establish the cloud environment and then manage data use and sharing in the cloud. To reduce risk and achieve compliance in a cloud environment, data governance teams need to know what data is sensitive and what data needs to be protected and masked.
The Snowflake Data Cloud helps organizations maximize the value of their data – and with BigID, organizations can reduce risk, accelerate governance, and achieve compliance on their snowflake data.
Know Your Data in Snowflake: Add Context and Identify Sensitive Data
Snowflake breaks down data silos so that organizations can share and use data for analysis. Knowing what data is available to use is essential for analysts and data scientists to select the right data for analysis. BigID scans all data sources, including Snowflake, and adds context for users to know what the data is, if the data is subject to regulation protection, and if there are related datasets to consider for analysis.
For responsible data sharing and analysis, organizations need to identify sensitive and personal data to know what data should not be shared. Organizations often have company policies about data management, and also need to reduce risk and address data privacy and protection requirements across NIST, CDMC, GDPR, CCPA. BigID scans Snowflake to identify, categorize, and classify sensitive and regulated data and automatically detect changes to keep a current view of the environment.
Data Analysts benefit by knowing what data exists in Snowflake to select the right data for analysis, while data and privacy leaders benefit from a current view of the complete data landscape to know where their sensitive data is to maintain compliance.
Expedite Migration Planning to Populate Snowflake: Discover Insight About Data
Data teams need to prioritize which data to upload to Snowflake. Most of the time spent planning a cloud migration project is in selecting which data to migrate. It’s more important than ever to make strategic decisions on what data should move where. BigID simplifies cloud migrations by scanning all data to see a single view of all data in the environment with context to determine which data to upload to the cloud. Adding even more value, the scan identifies duplicate data through cluster analysis to expedite planning because data teams can avoid uploading duplicate data.
Data teams will also spend time in migration planning to determine what data is sensitive so that they can mask or protect sensitive data uploaded to the cloud. BigID identifies personal and sensitive information to expedite planning and protection for cloud migration projects – and integrates with Snowflake’s native masking capabilities.
Expedite cloud migration planning with BigID:
- Find all data across all data sources to know what is available to upload
- Identify duplicate data to avoid uploading duplicates
- Classify sensitive data to protect and enforce policy in the cloud
Control Your Data in Snowflake: Apply Native Masking for Sensitive Data
Data owners need to know what data is sensitive and needs to be protected or masked, and which roles can access which data. For example, certain HR data may only be seen by HR roles, or customer contact information may not be seen by outside partners.
To provide the right access to the right users, Organizations need to:
- Determine what data is sensitive data
- Identify which roles can see which information
- Mask the data for some user roles, but allow other users to see the data
For proactive data protection, customers use BigID to scan all data sources and pipelines, classifying personal and sensitive data to determine if the data being uploaded to Snowflake contains sensitive information. To automatically control who can see what sensitive data, role-based access policies in BigID trigger dynamic data masking in Snowflake to handle that data appropriately.
Unify Security & Governance for Consistent Rules for Data Access and Sharing
Applying access and sharing policies at a single point of control in BigID ensures that security and governance rules are followed consistently across the organization. If policies are not set at an organizational level, the company risks having inconsistent policies about how data is governed, who has access, and what can be shared.
Dynamic role-based masking ensures that sensitive information is protected by role for all internal and external users. Snowflake enables private and public data exchanges. Data sharing breaks down data silos to share data internally and connect with outside partners. Sharing data internally promotes innovation and results. Managed data sharing with external partners accelerates business when trusted partners can work together with shared data. However, organizations have an obligation and responsibility to keep sensitive information private, and not all information can be shared, even with trusted partners.
Organizations use BigID to proactively secure data and follow consistent security and governance policies about what data to share, and which roles should be granted access based on the content of the data.
Accelerate Data Governance with Snowflake and BigID
BigID complements and integrates with Snowflake to solve data governance challenges. Accelerate cloud migration projects, make data more valuable by adding context, and reduce risk by identifying sensitive data and applying data governance policies. Get a 1:1 demo to learn how to reduce risk, accelerate governance, and achieve compliance in Snowflake with BigID.