Papers on Data Warehouses, Lakes, Lakehouses

Contents

• Data Warehouses
• Data Lakes
• Data Lakehouses

Data Warehouses

1. The Snowflake Elastic Data Warehouse (Snowflake)
2. Yellowbrick: An Elastic Data Warehouse on Kubernetes (Yellowbrick Data)
3. Amazon Redshift Re-invented (Amazon Web Services)
4. Napa: Powering Scalable Data Warehousing with Robust Query Performance at Google (Google)
5. WarpGate: A Semantic Join Discovery System for Cloud Data Warehouses (Sigma Computing)
6. Predicate Caching: Query-Driven Secondary Indexing for Cloud Data Warehouses (Amazon Web Services)
7. ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation (ByteDance)
8. Amazon Redshift and the Case for Simpler Data Warehouses (Amazon Web Services)
9. Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing (Hortonworks)

Data Lakes

1. Discovering Related Data At Scale (Microsoft)
2. Data Wrangling: The Challenging Journey from the Wild to the Lake (IBM)
3. Amalur: Next-generation Data Integration in Data Lakes (TU Delft)
4. Accelerating Raw Data Analysis with the ACCORDA Software and Hardware Architecture (UChicago)
5. BtrBlocks: Efficient Columnar Compression for Data Lakes (FAU, TUM)
6. JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes (UofT)

Data Lakehouses

1. Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics (Databricks)
2. Shared Foundations: Modernizing Meta’s Data Lakehouse (Meta)
3. Photon: A Fast Query Engine for Lakehouse Systems (Databricks)
4. Analyzing and Comparing Lakehouse Storage Systems (Databricks)
5. Deep Lake: a Lakehouse for Deep Learning (Activeloop)
6. BigLake: BigQuery’s Evolution toward a Multi-Cloud Lakehouse (Google)
7. Adaptive and Robust Query Execution for Lakehouses at Scale (Databricks)
8. Petabyte-Scale Row-Level Operations in Data Lakehouses (Apple)