Description

Introduction of Cloudera Security for Data Protection
With the increasing focus on data protection and privacy, ensuring robust security across enterprise data platforms has become a priority. Cloudera Security combines advanced features for safeguarding sensitive data in big data environments. This course offers in-depth training on protecting data, managing privacy, and implementing access control mechanisms within Cloudera’s ecosystem. Learn how to utilize tools like Apache Ranger, Kerberos, and data encryption to meet security and compliance requirements.

Prerequisites

1. Basic knowledge of Hadoop and Cloudera architecture.
2. Familiarity with security concepts, including encryption and authentication.
3. Some experience with Linux system administration and networking is recommended.

Table of Contents

1. Introduction to Cloudera Security
   1.1 Why Security is Critical in Big Data Environments
   1.2 Overview of Cloudera Security Features
   1.3 Key Challenges in Big Data Security
2. Data Protection Fundamentals
   2.1 Understanding Data Sensitivity and Classification
   2.2 Encryption Methods in Cloudera(Ref: Cloudera for Business Intelligence: Analyzing Big Data with Apache Hive and Impala)
   2.3 Securing Data at Rest and in Transit
   2.4 Managing Secure Storage with HDFS
3. User Authentication and Identity Management
   3.1 Introduction to Kerberos for Hadoop Clusters
   3.2 Configuring Kerberos in Cloudera Manager
   3.3 Using LDAP/AD for Identity Management
   3.4 Multi-Factor Authentication (MFA) for Enhanced Security
4. Access Control with Apache Ranger
   4.1 Overview of Apache Ranger’s Role in Cloudera Security
   4.2 Creating and Managing Policies in Ranger
   4.3 Implementing Role-Based Access Control (RBAC)
   4.4 Monitoring and Auditing User Access
5. Data Masking and Tokenization
   5.1 Why Masking and Tokenization are Important
   5.2 Implementing Dynamic Data Masking in Hive and Impala
   5.3 Tokenizing Sensitive Data Fields in HDFS
   5.4 Integrating Data Masking with Ranger Policies
6. Auditing and Monitoring for Compliance
   6.1 Setting Up Cloudera Navigator for Audit Trails
   6.2 Tracking User Activities and Access Logs
   6.3 Monitoring Cluster Security Events
   6.4 Generating Reports for Regulatory Compliance
7. Encryption Techniques in Cloudera
   7.1 Configuring Transparent Data Encryption (TDE) in HDFS
   7.2 Using SSL/TLS for Data-in-Transit Protection
   7.3 Managing Encryption Keys with Cloudera Key Trustee
   7.4 Encryption Best Practices for Enterprise Data
8. Securing Real-Time Data Streams
   8.1 Understanding Security in Apache Kafka and Flume
   8.2 Authenticating Producers and Consumers in Kafka
   8.3 Securing Data Streams with TLS and SASL
   8.4 Implementing Access Controls in Kafka Topics
9. Governance and Compliance in Big Data
   9.1 Data Privacy Regulations (GDPR, CCPA, HIPAA) Overview
   9.2 Ensuring Data Lineage and Provenance in Cloudera Navigator
   9.3 Policy Enforcement for Global and Regional Compliance
   9.4 Automating Compliance Checks in Big Data Workflows
10. Cloudera Security Use Cases and Best Practices
    10.1 Securing Financial Transactions with Encryption and Masking
    10.2 Protecting Healthcare Data in Cloudera Clusters
    10.3 Implementing Role-Based Access in Government Agencies
    10.4 Ensuring Secure Collaboration Across Enterprise Teams
11. Advanced Threat Detection and Response
    11.1 Monitoring Anomalous Activity in Cloudera Environments
    11.2 Using AI and Machine Learning for Threat Detection
    11.3 Integrating SIEM Tools for Real-Time Alerts
    11.4 Incident Response Planning for Hadoop-Based Systems
12. Future of Security in Cloudera Ecosystems
    12.1 Emerging Trends in Big Data Security
    12.2 Preparing for Post-Quantum Cryptography
    12.3 Automating Security with DevSecOps Principles
    12.4 Building a Zero-Trust Architecture for Big Data
13. Hands-On Labs and Scenarios of Cloudera Security for Data Protection
    13.1 Configuring Kerberos and Access Policies
    13.2 Encrypting Data and Implementing Masking in Hive
    13.3 Setting Up Audit Trails with Cloudera Navigator
    13.4 Securing a Kafka-Based Real-Time Data Pipeline

Conclusion
This course equips you with the expertise to implement robust security measures in Cloudera environments. By mastering encryption, access control, and compliance techniques, you’ll be ready to protect sensitive data and meet regulatory standards. These skills will empower you to manage secure, scalable, and compliant big data workflows, enabling organizations to confidently unlock the potential of their data.

Reference