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Atlas: Syllabus
Mastering Apache Atlas: Data Governance and Metadata Management
Apache Atlas is an open-source data governance and metadata management tool that helps organizations maintain control over their data assets. This book provides a hands-on approach to mastering Apache Atlas, covering metadata management, data lineage, classification, and integration with modern data ecosystems.
Module 1: Introduction to Data Governance and Apache Atlas
- Understanding the importance of data governance in modern enterprises
- Overview of Apache Atlas: Features and architecture
- Installing and setting up Apache Atlas
- Navigating the Apache Atlas UI and API
Module 2: Metadata Management in Apache Atlas
- Understanding metadata types: Technical, Business, and Operational Metadata
- Creating and managing metadata entities in Apache Atlas
- Integrating metadata from various sources (databases, data lakes, ETL tools)
- Using metadata search and discovery features
Module 3: Data Lineage Tracking
- Understanding data lineage and its significance
- Tracking lineage for structured and unstructured data
- Visualizing data flows and transformations in Apache Atlas
- Using REST API to extract lineage information programmatically
Module 4: Data Classification and Tagging
- Defining taxonomies and classification structures
- Applying tags and labels to data assets
- Automating data classification using Apache Atlas policies
- Implementing security policies based on metadata tagging
Module 5: Integrating Apache Atlas with Other Data Tools
- Connecting Apache Atlas with Apache Hadoop and Hive
- Integrating with Apache Spark for metadata tracking
- Using Apache Atlas with cloud data services (AWS, GCP, Azure)
- Synchronizing metadata with Apache Ranger for security enforcement
Module 6: Automating Data Governance Workflows
- Using Apache Atlas workflows for data governance automation
- Implementing policies for data retention and access control
- Monitoring metadata changes and governance compliance
- Setting up alerts and notifications for data governance events
Module 7: Data Privacy and Compliance Management
- Understanding GDPR, CCPA, and other regulatory frameworks
- Implementing compliance strategies with Apache Atlas
- Auditing and tracking sensitive data usage
- Generating compliance reports and metadata-driven insights
Module 8: Deploying and Scaling Apache Atlas in Production
- Running Apache Atlas in high-availability mode
- Scaling Apache Atlas for large data ecosystems
- Best practices for securing and maintaining Atlas deployments
- Monitoring and troubleshooting Apache Atlas services
Hands-On Projects
Project 1: Implementing Enterprise Metadata Management
- Set up Apache Atlas and integrate with a data lake
- Define metadata categories and import existing datasets
- Enable search and discovery for metadata consumers
Project 2: Building a Data Lineage Tracking System
- Capture and visualize lineage for SQL-based ETL processes
- Implement lineage tracking for Apache Spark transformations
- Use REST API to extract lineage reports programmatically
Project 3: Automating Data Classification and Tagging
- Define taxonomies and automate metadata tagging
- Implement security policies based on classification
- Audit and monitor classification changes
Project 4: Securing Data Governance with Apache Atlas and Apache Ranger
- Integrate Atlas with Apache Ranger for policy enforcement
- Implement role-based access control for metadata management
- Generate compliance reports for regulatory audits
Project 5: Deploying a Scalable Data Governance Framework
- Deploy Apache Atlas in a cloud environment
- Automate metadata ingestion from multiple data sources
- Implement governance workflows for data lifecycle management