
Discover how Azure Purview simplifies data governance with automated discovery, classification, and lineage tracking. Learn to create a comprehensive map of your data landscape across multiple environments.

Expand your knowledge of Microsoft Purview data governance. Learn about building data catalogs, data maps, and end-to-end lineage. Explore permission management, collections, and supported data sources.

Explore Xiaomi's real-time computing platform construction, focusing on resource flexibility, cost-effectiveness, and usability. Gain insights into architecture, metadata management, and operational governance.

Explore FlinkSQL's field lineage and data permission solutions for real-time data warehouses. Learn to implement Atlas and Ranger-like capabilities without source code intrusion.

Explore privacy-focused infrastructure design, understanding regulations, core principles, and practical measures for implementing privacy-aware systems in platform engineering.

Explore Delta Lake's transaction log: its structure, functionality, and role in ACID transactions, metadata handling, time travel, and concurrent operations. Gain insights into this core component.

Exploring next-gen tools for Apache Spark development, focusing on productivity, code standardization, metadata, lineage, and CI/CD agility to overcome limitations of traditional ETL tools.

Explore data observability's power in enhancing pipeline quality, reducing maintenance toil, and optimizing performance. Learn key components: metrics, data, lineage, and alerts for effective data management.

Explore how Pachama uses Flyte to manage complex data and ML pipelines for transparent forest carbon credit computation, including workload management, configuration, and lessons learned.

Explore ETL monitoring from Azure to Snowflake using ADF, Splunk, and Power BI. Learn data lineage and observability techniques for efficient pipeline management.

Explore Zalando's journey in adopting Databricks Unity Catalog, overcoming challenges in a large-scale environment with diverse use cases, distributed schemas, and strict regulations to enhance data governance and productivity.

Explore Unity Catalog's open-source journey, its key features, and how it enhances data governance and management in the Databricks ecosystem.

Learn how T-Mobile and Tredence migrated datasets to Unity Catalog, enhancing data management and access control for AI/ML use cases. Discover improved data ingestion processes and centralized governance.

Learn to automate Airflow backfills using Marquez, enhancing data pipeline efficiency and reliability in complex workflows.

Explore how Databricks leverages Amundsen for efficient data discovery, improving productivity by surfacing relevant datasets, SQL dashboards, and metadata programmatically.

Explore scaling data preparation for AI development, covering DataOps, versioning, labeling, and automating workflows into robust pipelines for efficient ML operationalization.

Explore open-source ecosystem for data lineage, combining Egeria, OpenLineage, and Marquez to enhance trust in AI models through transparent data origin and processing tracking.

Explore data lineage from Databricks Unity Catalog in Microsoft Purview through hands-on demonstrations, enhancing your data governance capabilities.

Empower data consumers with unified governance, automated discovery, and end-to-end lineage. Learn to create a holistic map of your data landscape while ensuring security and compliance.

Explore common patterns for building end-to-end data analytics pipelines using Apache Spark on Azure HDInsight, covering architecture, integration points, and various pipeline options.

Explore Azure Purview's innovative approach to unified data governance, including automated discovery, lineage extraction, and centralized access control for cloud-scale data estates across various systems.