Data Security

Understand Access Control, its benefits, functionalities, and role in a data lakehouse environment.

Understand Data Security and Privacy, its benefits and challenges, and how it integrates with data lakehouse environments for data scientists.

Dynamic Data Masking is a data protection technique that limits sensitive information exposure by masking or obfuscating data in real time.

Data Leakage is the unintentional or unauthorized transmission of sensitive data from within an organization to an external recipient or destination.

Data Access Control is a security measure that regulates and restricts access to data, ensuring that only authorized individuals can view or manipulate it.

Data Lake Encryption is a security measure that protects data stored in a data lake by encrypting it, preventing unauthorized access and ensuring data privacy.

Risk Assessment Procedures is a systematic approach to identify, assess, and mitigate potential risks in a business environment.

Masking is a technique used to protect sensitive data by replacing it with fictional or modified values.

Data Security and Governance Policies is a set of guidelines and practices implemented by organizations to protect their data assets, ensure compliance with regulations, and facilitate effective data processing and analytics.

Data Retention is the practice of storing and maintaining data for a specified period of time, in order to meet regulatory requirements and business needs.

Data Obfuscation is a technique used to mask or hide sensitive data in order to protect it from unauthorized access.

Data Compliance is the adherence to regulations, laws, and standards related to the collection, storage, and processing of data, ensuring its reliability, integrity, and security.

Data Classification is the process of categorizing data based on its characteristics and attributes to enhance data processing, analytics, and security.

Data Backup is the process of creating and storing copies of important data to protect it in case of data loss or system failure.

Audit Trail Tracking is a process of recording and monitoring all activities and changes made to data in order to ensure data integrity, compliance, and security.