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StratifyIQ™ - Your Intelligent Data Strategy
Focus Area: 1 of 6
— Factor 0 out of 33
Our AI engine is processing your responses...
How do you currently store and process large datasets?
Critical for day-to-day operations.
Important but not essential.
Not a priority at this time.
How is data classified and protected according to its sensitivity?
Data Classification Policies
Role-Based Access Control (RBAC)
Data Loss Prevention (DLP)
Encryption and Masking
Regulatory Classification
Monitoring and Auditing Access
What is your preferred real-time data processing framework?
Kafka Streams
Apache Flink
Apache Spark
Custom-built Framework
Microsoft Azure Stream Analytics
Google Dataflow or AWS Kinesis
What challenges have you encountered with data integration across cloud and on-premise systems?
Data Movement Latency
Data Schema Compatibility
API/Connection Issues
Data Governance and Privacy
Security of Data in Transit
Complexity of Legacy Systems
What deployment strategies are used to ensure minimal downtime?
Blue-Green Deployments
Canary Deployments
Rolling Updates
Infrastructure Failover Mechanisms
Load Balancers
A/B Testing
How do you ensure that your data architecture is secure and compliant with regulations?
Using end-to-end encryption for data in transit and at rest.
Implementing role-based access control (RBAC) and multi-factor authentication (MFA).
Regular security audits and compliance checks.
Partnering with third-party security experts for guidance.
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