{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T13:53:36Z","timestamp":1758808416912},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10020987","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"source":"Crossref","is-referenced-by-count":5,"title":["One Stone, Three Birds: Finer-Grained Encryption with Apache Parquet @ Large Scale"],"prefix":"10.1109","author":[{"given":"Xinli","family":"Shang","sequence":"first","affiliation":[{"name":"Uber Technologies,Apache Parquet PMC Chair"}]},{"given":"Pavi","family":"Subenderan","sequence":"additional","affiliation":[{"name":"Uber Technologies,Software Engineer"}]},{"given":"Mohammad","family":"Islam","sequence":"additional","affiliation":[{"name":"Uber Technologies,Software Engineer"}]},{"given":"Jianchun","family":"Xu","sequence":"additional","affiliation":[{"name":"Uber Technologies,Software Engineer"}]},{"given":"Jiashen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Uber Technologies,Software Engineer"}]},{"given":"Nimish","family":"Gupta","sequence":"additional","affiliation":[{"name":"Uber Technologies,Software Engineer"}]},{"given":"Ajit","family":"Panda","sequence":"additional","affiliation":[{"name":"Uber Technologies,Engineer Manager"}]}],"member":"263","reference":[{"key":"ref1","volume-title":"Apache Parquet Modular Encryption"},{"key":"ref2","volume-title":"Apache Parquet Cell-Level Encryption"},{"key":"ref3","volume-title":"Best practices: GDPR and CCPA compliance using Delta Lake"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.5121\/ijdms.2019.11301"},{"key":"ref5","volume-title":"Privacy and Networking Proceedings of ICSPN 2021"},{"key":"ref6","volume-title":"Google GCP BigQuery: Introduction to column-level access control"},{"key":"ref7","volume-title":"Amazon AWS redshift: Announcing column-level access control for Amazon Redshift"},{"key":"ref8","volume-title":"SnowFlakes: GDPR: What It Is, Why It Matters, and How Snowflake Enables Your Organization to Stay Compliant"},{"key":"ref9","volume-title":"Amazon AWS CloudFormation"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/spy2.13"},{"key":"ref11","volume-title":"Spark"},{"key":"ref12","article-title":"The growing importance of big data quality","journal-title":"The Data Roundtable"},{"key":"ref13","volume-title":"Apache Hive"},{"key":"ref15","volume-title":"Apache Flink"},{"key":"ref16","volume-title":"What is a data lakehouse"},{"key":"ref17","volume-title":"Peloton: Uber\u2019s Unified Resource Scheduler for Diverse Cluster Workloads"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CSCloud.2016.52"},{"key":"ref22","volume-title":"Encryption to Prevent Eavesdropping"},{"key":"ref23","volume-title":"Datalake introduction"},{"key":"ref24","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-031-06596-5_2","article-title":"Personal Data and Privacy Protection: Facebook and the Big Data Mountain","volume-title":"Facebook and the (EU) Law. Law","volume":"48","author":"Jougleux","year":"2022"},{"key":"ref25","volume-title":"Binary large object"},{"key":"ref27","volume-title":"Test driven Parquet encryption"},{"key":"ref28","volume-title":"How Parquet Files are Written \u2013 Row Groups, Pages, Required Memory and Flush Operations"},{"key":"ref29","volume-title":"Transparent Encryption in HDFS"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","location":"Osaka, Japan","start":{"date-parts":[[2022,12,17]]},"end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10020987.pdf?arnumber=10020987","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T07:45:00Z","timestamp":1707810300000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10020987\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10020987","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}