Secure Your Data Assets: Databricks Protection with Privacera and Apache Ranger

Secure Your Data Assets: Databricks Protection with Privacera and Apache Ranger

Table of Contents:

  1. Introduction
  2. The Importance of Data Governance in the Hybrid Cloud
  3. How Primus Era and Data Breaks Can Help Achieve Data Governance in the Hybrid Cloud
  4. The Founders and Background of Privacera
  5. The Challenges of Maintaining Data Governance in the Cloud
  6. The Data Democratization Problem Faced by Enterprises
  7. Use Cases and Benefits of Privacera's Solution
  8. Overview of Privacera's Data Discovery Architecture
  9. Access Control Architecture in Privacera
  10. Extension of Access Management Capabilities in Data Breaks with Privacera
  11. Demo: Privacera in Action - Data Discovery and Classification
  12. Demo: Privacera in Action - Access Control and Policy Enforcement
  13. Conclusion

Introduction

In today's digital age, data is one of the most valuable assets for enterprises. However, as organizations move their data to the hybrid cloud, they face significant challenges in maintaining data governance and security. This article explores the importance of data governance in the hybrid cloud and how Privacera's Primus Era and Data Breaks can help achieve effective data governance.

The Importance of Data Governance in the Hybrid Cloud

Data governance refers to the collection of policies, processes, and controls that ensure the proper management and security of data within an organization. In the hybrid cloud environment, where data is stored and processed both on-premises and in the public cloud, data governance becomes even more critical. Enterprises need to have visibility and control over their data, regardless of its location.

How Primus Era and Data Breaks Can Help Achieve Data Governance in the Hybrid Cloud

Privacera's Primus Era and Data Breaks offer a comprehensive solution for effective data governance in the hybrid cloud. Primus Era provides a single pane of Glass for data discovery, classification, and access control. It allows enterprises to scan their data across different cloud databases, object stores, and on-premises systems to understand where sensitive data is located.

With Primus Era, enterprises can define data zones to logically segment their data and Apply granular access control policies. These policies can be role-Based or attribute-based, allowing organizations to restrict access to sensitive data based on user roles or specific conditions. Primus Era also supports dynamic and static data masking, encryption, and auditing to ensure data privacy and compliance.

The Founders and Background of Privacera

Privacera was founded in 2016 by Balaji Ganesan and Bosco Dsouza. They were the original Creators of Apache Ranger, a widely adopted open-source tool for data governance in the Hadoop ecosystem. Privacera's platform, based on Apache Ranger, was designed to extend data governance capabilities to the cloud and address solutions such as data breaches and compliance with regulations like CCPA and GDPR. Today, Privacera serves Fortune 100 customers and has a team of experienced professionals dedicated to solving the data democratization problem.

The Challenges of Maintaining Data Governance in the Cloud

As enterprises embrace the cloud, they face challenges in managing and governing data across multiple cloud services. Each cloud service provider has its own authorization model, auditing framework, and data governance capabilities. This heterogeneity makes it difficult for organizations to enforce consistent data governance policies and ensure data security and compliance.

The Data Democratization Problem Faced by Enterprises

Data democratization refers to the democratization of data access and insights across an organization. As enterprises move to the cloud, they aim to share data securely and widely to support Better Insights and decision-making. However, with the increasing volume of data and the shrinking compliance guidelines, organizations face the challenge of maintaining data governance while democratizing data responsibly.

Use Cases and Benefits of Privacera's Solution

Privacera's solution caters to enterprise customers familiar or new to Apache Ranger. It enables them to migrate their security and governance features safely to the cloud while ensuring compliance with regulations like CCPA and GDPR. Privacera's platform supports various data platforms, both on-premises and in the public cloud, and offers deep integration with data breaks. It helps customers smoothly migrate to the public cloud and supports hybrid cloud deployments.

The key benefits of Privacera's solution include:

  1. Centralized data discovery and classification: Privacera's platform provides a single pane of glass for discovering sensitive data across heterogeneous cloud services. It allows organizations to classify and label data based on predefined or custom algorithms and metadata.

  2. Fine-grained access control: Privacera's platform enables granular access control at the table, column, and row levels. It supports role-based and attribute-based policies, allowing organizations to restrict access to sensitive data based on specific user roles, attributes, or conditions.

  3. Dynamic and static data masking: Privacera's solution offers dynamic and static data masking capabilities to protect sensitive data. It allows organizations to redact or encrypt data based on predefined policies, ensuring data privacy and compliance.

  4. Encryption and key management: Privacera's platform supports encryption using NIST-standard techniques. It ensures that sensitive data is encrypted at rest and in transit, providing an additional layer of security.

Overview of Privacera's Data Discovery Architecture

Privacera's data discovery architecture leverages Apache Spark and data breaks to scan and classify data across various cloud databases, object stores, and on-premises systems. The scanning technology uses a variety of techniques, such as regular expressions, dictionaries, and machine learning models, to identify and classify sensitive data. The detected data Patterns and classifications are stored in Privacera's scalable metadata store, which integrates with Apache Ranger for security enforcement.

Access Control Architecture in Privacera

Privacera's access control architecture is built on Apache Ranger, a widely adopted authorization and audit engine in the Big Data ecosystem. Privacera extends Apache Ranger's plug-in model to cover cloud services, object stores, and cloud databases. It provides lightweight reverse proxies and plug-ins that enforce policies at the network and application layers, respectively. Privacera's platform enables centralized access control and auditing, ensuring consistent authorization decisions across various services.

Extension of Access Management Capabilities in Data Breaks with Privacera

Privacera works closely with data breaks to extend its access management capabilities. It provides fine-grained access control at the table, column, and row levels, allowing organizations to enforce security policies based on specific data attributes. Privacera's platform integrates seamlessly with data breaks, allowing organizations to leverage consistent policies and authorization decisions across their data landscape.

Demo: Privacera in Action - Data Discovery and Classification

In this demo, we showcase Privacera's data discovery and classification capabilities. Using Privacera's platform, organizations can scan their data across different cloud services and on-premises systems. The scanning technology applies various detection techniques, including pattern matching, dictionaries, and machine learning models. The detected sensitive data is classified and labeled, providing organizations with a comprehensive understanding of their data landscape.

Demo: Privacera in Action - Access Control and Policy Enforcement

In this demo, we demonstrate how Privacera enables fine-grained access control and policy enforcement in data breaks. Privacera's platform allows organizations to define access control policies at the table, column, and row levels. These policies can be based on roles, attributes, or conditions, and they ensure that only authorized users can access sensitive data. Privacera's solution also supports dynamic and static data masking, providing an additional layer of data protection.

Conclusion

In conclusion, data governance is crucial in the hybrid cloud environment, where data is stored and processed both on-premises and in the public cloud. Privacera's Primus Era and Data Breaks offer a comprehensive solution for effective data governance in the hybrid cloud. From data discovery and classification to fine-grained access control and policy enforcement, Privacera's platform enables organizations to maintain data governance while leveraging the benefits of the cloud. With its deep integration with data breaks and support for hybrid cloud deployments, Privacera caters to the diverse needs of enterprise customers.

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