CCPA Compliance for Analytics and Data Science Use Cases with Databricks and Privacera
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The webinar discusses CCPA compliance for analytics and data science, highlighting the obligations of businesses to protect consumer personal information and the significant penalties for non-compliance. It introduces Privacera's centralized data access governance platform, which streamlines sensitive data management across hybrid cloud environments, enhancing data governance, security, and compliance. The presentation emphasizes the importance of understanding and managing personal information in alignment with CCPA regulations and leveraging automated tools to improve data management practices.
CCPA Compliance for Analytics and Data Science Use Cases with Databricks and Privacera
- 1. Powered by Apache RangerTM WEBINAR CCPA Compliance for Analytics and Data Science with Privacera and Databricks February 19, 2020
- 2. Srikanth Venkat Vice President of Product Management Privacera Nauman Fakhar Director of ISV Solutions Databricks Today’s Presenters
- 3. Total data Lost Value: Competing Mandates to Comply and Democratize Data D A T A V O L U M E Lost value 2018 2020 Captured value Data that meets compliance
- 4. CCPA: Businesses & Consumers Collects, shares, buys or sells Annual Revenue over $25M+ 50%+ of revenue from PI data of 50K+ CA consumers CA consumers Receive a copy of the specific personal information collected about them during preceding 12 months prior to their request Right to have their personal information deleted (with exceptions) within reasonable timeframe (45 days or less) What categories of personal information collected, the source and use of the information, and disclosed to who? Right to know a firm’s data sale practices and to request that their PI not be sold to 3rd parties Right not to be discriminated against due to exercise of CCPA consumer rights! FOR PROFIT BUSINESS CONSUMER
- 5. CCPA: Personal Information & Obligations ● CCPA defines personal information broadly ○ “identifies, relates to, describes, is capable of being associated with, or could reasonably be linked, directly or indirectly, with a particular consumer or household” ○ Inferences drawn to create a profile about the individual to reflect preferences, attitudes, etc. ● Obligation of firms to: ○ Expand and annually update their privacy policy disclosures ○ Provide on-demand to consumers within 45 days information requested ○ Delete personal information upon request ○ Stop selling personal information of consumers upon request Personal Information (PI) Examples: ➢ Name ➢ Address ➢ Internet protocol address ➢ Email address ➢ Account name ➢ SSN, driver’s license number, passport numbers ➢ Protected classifications under CA or U.S. law ➢ Commercial activity (personal property, products or services purchased) ➢ Biometric information ➢ Browsing history ➢ Geolocation data ➢ Audio, electronic, visual thermal, olfactory or similar information ➢ Professional or employment information ➢ Education information
- 6. CCPA: Non-Compliance Consequences ● Up to $750 in damages per consumer per incident or actual damages, whichever is greater ● Civil Action with fines by Attorney General Office upto $7500 for each intentional violation, if offense is not remedied within 30 days! ● Fines and penalties ● Costs for Litigations ● Product modification cost ● Restriction of operations ● Loss of revenue ● Increased insurance coverage costs ● Loss of Brand image ● Loss of customer trust ● Customer churn ● Loss of employee trust
- 7. Unified data analytics platform for accelerating innovation across data science, data engineering, and business analytics Original creators of popular data and machine learning open source projects Global company with 5,000 customers and 450+ partners
- 8. Accelerating data-driven innovation across data science, data engineering, and business analytics RAW DATA LAKE DATA SCIENTISTS ML ENGINEERS DATA ANALYSTS DATA ENGINEERS ENTERPRISE CLOUD SERVICE A simple, scalable, and secure managed service UNIFIED DATA SERVICE High quality data with great performance DATA SCIENCE WORKSPACE Collaboration across the lifecycle BI INTEGRATIONS Access all your data UNIFIED DATA ANALYTICS PLATFORM
- 9. Compliance - Transactions Performance - Fast queries at scale • Ability to delete/update specific rows of data from a cloud native data lake • Transaction log tracks history of operations on every Delta table • Compaction to optimize file sizes • Data skipping reads only the relevant data • Caching increases read throughput by up to 15x Delta Lake: Adds Reliability & Performance Reliability - High Quality Data • Schema enforcement makes data consistent • Transactions ensure only completed writes are committed • Time travel maintains versions of data
- 10. 2012 XA Secure founded. XA Secure acquired by Hortonworks, open sourced as Apache Ranger. 2014 Apache Atlas, data governance project incubated 2015 Privacera founded 2016 Privacera platform Generally Available 2017 Customers include multiple Fortune 100 companies. Founded in 2016 by the creators of Apache Ranger and Apache Atlas. Experienced and accomplished innovators in data and cloud governance. Partner of Amazon Web Services, Microsoft, and Databricks. 2020 Privacera: Leaders in Big Data and Cloud
- 11. ● Centralized data access governance platform. ● Works across heterogenous on- premises and cloud data services. ● Based on open source Apache Ranger project. ● Breaks data silos and simplifies data access governance. Privacera: Centralized Data Access Governance for the Hybrid Cloud
- 12. Central Portal LDAP/AD Policy Database DatabasesDatabasesHive/Spark Plug-In Policy Sync Privacera: Platform Architecture Cloud/Object Storage Data Access Server
- 13. Benefits of Privacera Data Access Governance for Hybrid Cloud For IT and data teams ✓ Single, centralized environment. ✓ Automated sensitive data discovery and tagging. ✓ Consistent policy creation and automated enforcement across services. ✓ Comprehensive monitoring, auditing and compliance reporting.
- 14. Benefits of Privacera Data Access Governance for Hybrid Cloud For data scientists and analysts ✓ Faster, safer access to more data and data services. ✓ Transparent governance for improved user experience. ✓ Reduced privacy, security and compliance risk. ✓ More use cases, better insights, smarter decisions.
- 15. DISCOVER DEFINE ENFORCE REPORT Privacera: Data Access Governance Lifecycle
- 16. DISCOVER DEFINE ENFORCE REPORT Privacera: Data Access Governance Features ○ Diverse Compatibility: Quickly connect to cloud storage & databases. ○ Scan & Tag Sensitive Data: Leverage machine learning, rules to scan and tag sensitive data. ○ Scalable Metadata Storage: Store tags in a truly scalable metadata store or integrate with 3rd party data catalogs and associated tags.
- 17. DISCOVER DEFINE ENFORCE REPORT Privacera: Data Access Governance Features ○ Centralized Management: Manage access control policies for all data sources in a central portal. ○ FGAC: Create fine-grained access control policies down to the file, row, and column level. ○ Robust Policy Definition: Create role-based, attribute-based, and tag-based access control policies.
- 18. DISCOVER DEFINE ENFORCE REPORT Privacera: Data Access Governance Features ○ Heterogeneous Compatibility: Configure enforcement points across on-premises and cloud data and analytics services. ○ Simple, Immediate Enforcement: Automate enforcement of access control policies for all users across all environments.
- 19. DISCOVER DEFINE ENFORCE REPORT Privacera: Data Access Governance Features ○ Instant Visibility: Quickly generate reports to help teams get instant visibility on data assets. ○ Seamless Compliance: Generate custom reports to prove compliance to outside regulators. ○ Comprehensive View of Sensitive Data Risks: Monitor and audit data access behavior and get alerts when sensitive data is moved.
- 20. CCPA: PI Handling & Processing Best Practices ● PI DATA INVENTORY : CCPA compliance starts with knowing what PI you have => Accurate, complete, and up-to-date sensitive data inventory is the foundation for compliance! ○ Review areas where any type of PI can reside (e.g. website, forms at retail locations, mail, email, employment applications, HR documents, call center recordings, agreements and contracts (vendor or service providers, landlord/tenant), marketing, CCTV, chatbot data etc.) ○ Identify and categorize or classify all PI with sources ○ Identify purposes for collecting PI data and uses ○ Identify retention period for each category of information to honor deletion requests ○ Identify who has been given access to the information, including 3rd parties via contracts and their use of the information ○ Identify location of PI in data stores, storage format, and the owner or person(s) responsible for maintaining it ● For Managing Consumer Rights ○ Use de-identified PI data where possible to minimize exfiltration and attribution risk ○ Provide methods for record level deletion and updates across data stores in cloud and data center ○ Use masking, encryption (with removal of keys) and redaction on PI data where complete deletion is not possible due to legal exceptions or other processing requirements ○ Centralize entitlement, access control, and consent management
- 22. CCPA as an Opportunity! ● Automated data security and privacy controls help: ○ reduce risk of manual errors ○ reduce operational complexity ○ improve response times to critical privacy and security incidents ○ avoid costly penalties, positively impacting bottom line ● Integrating a robust privacy program into your business processes ○ Helps build deeper customer engagement and improves business outcomes ○ Improves employee, partner, and customer trust and enhances brand image and reputation ○ Improves data management practices to enable better and faster insights to generate top line benefits
- 23. Questions? Submit your questions now or email follow-up questions to info@privacera.com and either Srikanth or Nauman will follow up with you. For more information about Privacera and Databricks, visit www.privacera.com/databricks.
- 24. Thank You Powered by Apache RangerTM