Apache Atlas Course

Lesson 1 • Data Governance Fundamentals

Covers core data governance concepts including metadata, data lineage, and cataloging. Establishes the business context that motivates Atlas adoption.

Lesson 2 • Apache Atlas Overview

Introduces Atlas as an open-source governance platform, its history, and its position in the Hadoop ecosystem. Connects governance needs to Atlas capabilities.

Lesson 3 • Key Use Cases and Benefits

Surveys real-world Atlas deployments across industries to illustrate tangible governance outcomes. Helps learners align Atlas features with organisational goals.

Lesson 1 • Core Configuration Files

Explains atlas-application.properties and related configuration files in detail. Enables learners to tune Atlas behaviour for specific deployment requirements.

Lesson 2 • Standalone Installation

Walks through downloading, building, and launching Atlas in standalone mode for development use. Provides a safe sandbox for exploring features without cluster complexity.

Lesson 3 • Upgrading and Troubleshooting Installations

Addresses version migration paths and common installation errors with diagnostic steps. Prepares learners to maintain Atlas deployments over time.

Lesson 4 • Cluster Mode Deployment

Covers deploying Atlas in a distributed cluster alongside HBase, Solr, and Kafka. Builds production-readiness skills on top of standalone knowledge.

Lesson 1 • Understanding the Type System

Explains Atlas's type-based metadata model including primitive, enum, struct, and entity types. Establishes the conceptual framework for all metadata modeling work.

Lesson 2 • Classifications and Business Metadata

Covers creating and applying classifications and business metadata attributes to entities. Connects type modeling to practical tagging and policy enforcement.

Lesson 3 • Relationship Types and Lineage Modeling

Explains how to define relationship types that capture data flow and ownership between entities. Provides the foundation for lineage graph construction.

Lesson 4 • Built-in Type Definitions

Surveys Atlas-provided types for Hive, HDFS, Kafka, and other systems. Reduces redundant modeling by leveraging existing definitions.

Lesson 1 • Creating and Updating Entities

Covers entity creation via the Atlas UI and REST API with required and optional attributes. Builds core CRUD skills central to daily metadata management tasks.

Lesson 2 • Searching Entities with Basic Search

Introduces full-text and attribute-based search in the Atlas UI and via REST. Enables learners to locate assets efficiently in large metadata catalogs.

Lesson 3 • Advanced DSL and Gremlin Search

Teaches Atlas DSL and Gremlin query languages for complex entity retrieval. Extends search capability beyond basic filters for power users.

Lesson 4 • Applying Classifications to Entities

Demonstrates attaching, propagating, and removing classifications on entities. Connects entity management to governance policy enforcement.

Lesson 1 • Manual Lineage Creation via API

Shows how to create process entities and link inputs and outputs via the REST API. Covers scenarios where automatic hooks are unavailable.

Lesson 2 • Automatic Lineage from Hive and Spark

Demonstrates how Atlas hooks capture lineage automatically from Hive queries and Spark jobs. Reduces manual effort by leveraging native integrations.

Lesson 3 • Impact Analysis and Root Cause Tracing

Applies lineage graphs to assess downstream impact of schema changes and trace data quality issues upstream. Delivers actionable governance insights.

Lesson 4 • Lineage Concepts and Graph Model

Defines input, output, and process entities that form the Atlas lineage graph. Establishes the conceptual model before hands-on lineage work.

Lesson 1 • Hive Integration and Hook Setup

Configures the Atlas Hive hook to capture table, column, and query metadata automatically. Demonstrates the most common and impactful Atlas integration.

Lesson 2 • Sqoop and Falcon Integration

Demonstrates using Sqoop and Falcon hooks to capture relational import lineage and workflow metadata. Broadens lineage coverage to batch ingestion pipelines.

Lesson 3 • Apache Ranger Integration for Policies

Connects Atlas classifications to Ranger tag-based access policies for automated enforcement. Demonstrates the governance-to-security workflow.

Lesson 4 • Kafka Integration for Event Streaming

Sets up Atlas to catalog Kafka topics and capture producer-consumer lineage. Addresses metadata governance for streaming data pipelines.

Lesson 1 • Authorization and Role Management

Explains Atlas's built-in roles and how to assign permissions to users and groups. Establishes least-privilege access control for metadata operations.

Lesson 2 • Authentication Mechanisms

Covers file-based, LDAP, Kerberos, and SSO authentication options for Atlas. Enables learners to match authentication to organizational security standards.

Lesson 3 • Audit Logging and Compliance Reporting

Demonstrates enabling and querying the Atlas audit log for entity and admin operations. Supports compliance reporting and forensic investigation.

Lesson 4 • TLS Encryption and Network Security

Configures TLS for Atlas REST API and inter-service communication. Protects metadata in transit across distributed deployments.

Lesson 1 • Monitoring and Alerting for Atlas

Integrates Atlas metrics with monitoring platforms and configures alerts for service health. Enables proactive operations management in production.

Lesson 2 • High Availability Configuration

Configures Atlas in active-passive HA mode with ZooKeeper coordination. Ensures metadata service continuity for mission-critical environments.

Lesson 3 • Backup, Restore, and Disaster Recovery

Covers HBase snapshot-based backup and restore procedures for Atlas metadata. Protects governance data against corruption and infrastructure failures.

Lesson 4 • Performance Tuning and Indexing

Optimizes JanusGraph, Solr, and JVM settings for large-scale metadata workloads. Reduces query latency and improves ingestion throughput.