{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T08:55:13Z","timestamp":1775638513315,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2016,6,14]],"date-time":"2016-06-14T00:00:00Z","timestamp":1465862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2016,6,14]]},"DOI":"10.1145\/2882903.2903741","type":"proceedings-article","created":{"date-parts":[[2016,6,16]],"date-time":"2016-06-16T19:01:52Z","timestamp":1466103712000},"page":"215-226","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":262,"title":["The Snowflake Elastic Data Warehouse"],"prefix":"10.1145","author":[{"given":"Benoit","family":"Dageville","sequence":"first","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Thierry","family":"Cruanes","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Marcin","family":"Zukowski","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Vadim","family":"Antonov","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Artin","family":"Avanes","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Jon","family":"Bock","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Jonathan","family":"Claybaugh","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Daniel","family":"Engovatov","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Martin","family":"Hentschel","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Jiansheng","family":"Huang","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Allison W.","family":"Lee","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Ashish","family":"Motivala","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Abdul Q.","family":"Munir","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Steven","family":"Pelley","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Peter","family":"Povinec","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Greg","family":"Rahn","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Spyridon","family":"Triantafyllis","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]},{"given":"Philipp","family":"Unterbrunner","sequence":"additional","affiliation":[{"name":"Snowflake Computing, San Mateo, CA, USA"}]}],"member":"320","published-online":{"date-parts":[[2016,6,14]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376712"},{"key":"e_1_3_2_1_2_1","volume-title":"Proc. VLDB","author":"Ailamaki A.","year":"2001","unstructured":"A. Ailamaki , D. J. DeWitt , M. D. Hill , and M. Skounakis . Weaving relations for cache performance . In Proc. VLDB , 2001 . A. Ailamaki, D. J. DeWitt, M. D. Hill, and M. Skounakis. Weaving relations for cache performance. In Proc. VLDB, 2001."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.14778\/2733085.2733096"},{"key":"e_1_3_2_1_4_1","unstructured":"Amazon Elastic Compute Cloud (EC2). burlaws.amazon.com\/ec2\/instance-types.  Amazon Elastic Compute Cloud (EC2). burlaws.amazon.com\/ec2\/instance-types."},{"key":"e_1_3_2_1_5_1","unstructured":"Amazon Simple Storage Service (S3).burlaws.amazon.com\/s3.  Amazon Simple Storage Service (S3).burlaws.amazon.com\/s3."},{"key":"e_1_3_2_1_6_1","unstructured":"Apache Cassandra. burlcassandra.apache.org.  Apache Cassandra. burlcassandra.apache.org."},{"key":"e_1_3_2_1_7_1","unstructured":"Apache Drill. burldrill.apache.org.  Apache Drill. burldrill.apache.org."},{"key":"e_1_3_2_1_8_1","unstructured":"Apache Hadoop. burlhadoop.apache.org.  Apache Hadoop. burlhadoop.apache.org."},{"key":"e_1_3_2_1_9_1","unstructured":"Apache Hive. burlhive.apache.org.  Apache Hive. burlhive.apache.org."},{"key":"e_1_3_2_1_10_1","unstructured":"Apache Parquet. burlparquet.apache.org.  Apache Parquet. burlparquet.apache.org."},{"key":"e_1_3_2_1_11_1","unstructured":"Apache Spark. burlspark.apache.org.  Apache Spark. burlspark.apache.org."},{"key":"e_1_3_2_1_12_1","unstructured":"AWS CloudHSM. burlaws.amazon.com\/cloudhsm.  AWS CloudHSM. burlaws.amazon.com\/cloudhsm."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.6028\/NIST.SP.800-57pt1r4"},{"key":"e_1_3_2_1_14_1","volume-title":"burlaws.amazon.com\/blogs\/aws\/aws-importexport-snowball-transfer-1-petabyte%-per-week-using-amazon-owned-storage-appliances\/","author":"Barr J.","year":"2015","unstructured":"J. Barr . AWS Import\/ Export Snowball -- Transfer 1 petabyte per week using Amazon-owned storage appliances. burlaws.amazon.com\/blogs\/aws\/aws-importexport-snowball-transfer-1-petabyte%-per-week-using-amazon-owned-storage-appliances\/ , 2015 . J. Barr. AWS Import\/Export Snowball -- Transfer 1 petabyte per week using Amazon-owned storage appliances. burlaws.amazon.com\/blogs\/aws\/aws-importexport-snowball-transfer-1-petabyte%-per-week-using-amazon-owned-storage-appliances\/, 2015."},{"key":"e_1_3_2_1_15_1","volume-title":"Proc. CIDR","author":"Boncz P.","year":"2005","unstructured":"P. Boncz , M. Zukowski , and N. Nes . MonetDB\/X100: Hyper-pipelining query execution . In Proc. CIDR , 2005 . P. Boncz, M. Zukowski, and N. Nes. MonetDB\/X100: Hyper-pipelining query execution. In Proc. CIDR, 2005."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2331042.2331057"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376690"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043556.2043571"},{"key":"e_1_3_2_1_19_1","unstructured":"Cassandra Query Language (CQL). burlcassandra.apache.org\/doc\/cql3\/CQL.html.  Cassandra Query Language (CQL). burlcassandra.apache.org\/doc\/cql3\/CQL.html."},{"key":"e_1_3_2_1_20_1","unstructured":"Cloud Storage -- Google Cloud Platform. burlcloud.google.com\/storage.  Cloud Storage -- Google Cloud Platform. burlcloud.google.com\/storage."},{"key":"e_1_3_2_1_21_1","unstructured":"Cloudera Impala. burlimpala.io.  Cloudera Impala. burlimpala.io."},{"key":"e_1_3_2_1_22_1","unstructured":"Couchbase N1QL. burlcouchbase.com\/n1ql.  Couchbase N1QL. burlcouchbase.com\/n1ql."},{"key":"e_1_3_2_1_23_1","unstructured":"Couchbase Server. burlcouchbase.com.  Couchbase Server. burlcouchbase.com."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2463676.2463709"},{"key":"e_1_3_2_1_25_1","volume-title":"How to build a high-performance data warehouse. burldb.csail.mit.edu\/madden\/high_perf.pdf","author":"DeWitt D. J.","year":"2006","unstructured":"D. J. DeWitt , S. Madden , and M. Stonebraker . How to build a high-performance data warehouse. burldb.csail.mit.edu\/madden\/high_perf.pdf , 2006 . D. J. DeWitt, S. Madden, and M. Stonebraker. How to build a high-performance data warehouse. burldb.csail.mit.edu\/madden\/high_perf.pdf, 2006."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.5555\/861998"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/69.273032"},{"key":"e_1_3_2_1_28_1","first-page":"18","article-title":"The cascades framework for query optimization","author":"Graefe G.","year":"1995","unstructured":"G. Graefe . The cascades framework for query optimization . Data Engineering Bulletin , 18 , 1995 . G. Graefe. The cascades framework for query optimization. Data Engineering Bulletin, 18, 1995.","journal-title":"Data Engineering Bulletin"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-03730-6_10"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2723372.2742795"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/258533.258660"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12098-5_23"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687553.1687618"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920886"},{"key":"e_1_3_2_1_35_1","unstructured":"Microsoft Analytics Platform System. burlwww.microsoft.com\/en-us\/server-cloud\/products\/analytics-platform-syste%m.  Microsoft Analytics Platform System. burlwww.microsoft.com\/en-us\/server-cloud\/products\/analytics-platform-syste%m."},{"key":"e_1_3_2_1_36_1","unstructured":"Microsoft Azure Blob Storage. burlazure.microsoft.com\/en-us\/services\/storage\/blobs.  Microsoft Azure Blob Storage. burlazure.microsoft.com\/en-us\/services\/storage\/blobs."},{"key":"e_1_3_2_1_37_1","unstructured":"Microsoft Azure SQL DW. burlazure.microsoft.com\/en-us\/services\/sql-data-warehouse.  Microsoft Azure SQL DW. burlazure.microsoft.com\/en-us\/services\/sql-data-warehouse."},{"key":"e_1_3_2_1_38_1","volume-title":"Proc. VLDB","author":"Moerkotte G.","year":"1998","unstructured":"G. Moerkotte . Small materialized aggregates: A light weight index structure for data warehousing . In Proc. VLDB , 1998 . G. Moerkotte. Small materialized aggregates: A light weight index structure for data warehousing. In Proc. VLDB, 1998."},{"key":"e_1_3_2_1_39_1","unstructured":"MongoDB. burlmongodb.com.  MongoDB. burlmongodb.com."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/32.52778"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.14778\/2002938.2002940"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/1559845.1559865"},{"key":"e_1_3_2_1_43_1","unstructured":"Presto. burlprestodb.io.  Presto. burlprestodb.io."},{"key":"e_1_3_2_1_44_1","volume-title":"An inside look at Google BigQuery. burlcloud.google.com\/files\/BigQueryTechnicalWP.pdf","author":"Sato K.","year":"2012","unstructured":"K. Sato . An inside look at Google BigQuery. burlcloud.google.com\/files\/BigQueryTechnicalWP.pdf , 2012 . K. Sato. An inside look at Google BigQuery. burlcloud.google.com\/files\/BigQueryTechnicalWP.pdf, 2012."},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.14778\/1920841.1920902"},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/MSST.2010.5496972"},{"key":"e_1_3_2_1_47_1","unstructured":"SQL DW Concurrency. burlazure.microsoft.com\/en-us\/documentation\/articles\/sql-data-warehouse-de%velop-concurrency.  SQL DW Concurrency. burlazure.microsoft.com\/en-us\/documentation\/articles\/sql-data-warehouse-de%velop-concurrency."},{"key":"e_1_3_2_1_48_1","unstructured":"Stinger.next: Enterprise SQL at Hadoop scale. burlhortonworks.com\/innovation\/stinger.  Stinger.next: Enterprise SQL at Hadoop scale. burlhortonworks.com\/innovation\/stinger."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1145\/2588555.2610515"}],"event":{"name":"SIGMOD\/PODS'16: International Conference on Management of Data","location":"San Francisco California USA","acronym":"SIGMOD\/PODS'16","sponsor":["SIGMOD ACM Special Interest Group on Management of Data"]},"container-title":["Proceedings of the 2016 International Conference on Management of Data"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2882903.2903741","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2882903.2903741","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:55:53Z","timestamp":1750222553000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2882903.2903741"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,6,14]]},"references-count":49,"alternative-id":["10.1145\/2882903.2903741","10.1145\/2882903"],"URL":"https:\/\/doi.org\/10.1145\/2882903.2903741","relation":{},"subject":[],"published":{"date-parts":[[2016,6,14]]},"assertion":[{"value":"2016-06-14","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}