Practical Lakehouse Architecture

Index

A

• access controls
  • better access control in data warehouses, Benefits and advantages
  • consistent, in unified data catalog, Benefits of a Unified Data Catalog
  • difficulty of, in combined architecture for data platforms, Limitations
  • fine-grained, using AWS Glue Data Catalog, Using AWS Services
  • fine-grained, using Iceberg tables in BigLake, Using GCP Services
  • limited, in data lakes, Limitations and challenges
  • for metadata, How Metastores and Data Catalogs Work Together
• access management, Access Management-Access Management
  • coarse-grained versus fine-grained, Access Management
  • three Rs—restrict, review, and revoke, Access Management
• accounts (cloud), cross-account access, Cross-region, Cross-account Access
• accuracy (of data), Data and ML Model Quality
• ACID properties
  • compliance with, Benefits and advantages
  • Hudi support for, Key features
  • Iceberg support for, Key features
  • in lakehouse architecture, Lakehouse Architecture: A New Pattern
  • no support in data lakes, Limitations and challenges
  • support by Linux Foundation's Delta Lake, Key features
  • support by table formats in lakehouse storage, Similarities, differences, and use cases
  • support for in data warehouses, Benefits and advantages
• active-active approach to DR strategy design, Disaster Recovery Strategy
• active-passive approach to DR strategy design, Disaster Recovery Strategy
• ad hoc/interactive analysis, Ad hoc/Interactive analysis
• ADF (Azure Data Factory), Azure Data Factory (ADF), Source system types, Technology choices
• ADLS (Azure Data Lake Storage),