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Datagrip aws athena12/28/2023 This solution scales elastically with Athena’s on-demand and data intensive workloads. Protegrity provides data tokenization for Amazon Athena by incorporating tokenization technologies within an external Athena UDF deployed within the serverless AWS Lambda architecture. The Athena team provides a Java SDK for developers to create UDFs to extend the Athena platform and perform useful transformations on data. It can be used to join data across multiple data sources such as Amazon DynamoDB, HBase, Amazon Redshift, or any JDBC-compliant relational database.īuilt on the Presto engine, Athena’s federated query engine offers a quick and powerful alternative for analytics without the need to first centralize all of your data into a data warehouse.Īmazon Athena recently released a new feature supporting external UDFs. About Amazon AthenaĪmazon Athena is a serverless, federated query service that makes it easy to analyze data in Amazon Simple Storage Services (Amazon S3) using SQL. This is particularly vital to companies that deal with Personally Identifiable Information (PII), Payment Card Industry (PCI), and Protected Health Information (PHI). Tokenization is a technique for de-identifying sensitive data at rest while retaining its usefulness. This protects data at rest and maintains the confidentiality of individuals and other sensitive data. In this post, we will describe how customers can use the Protegrity Athena Protector UDF with the Amazon Athena engine to tokenize or detokenize data at scale. Protegrity, an AWS ISV Partner and global leader in data security, has released a serverless User Defined Function (UDF) that adds external data tokenization capabilities to the Amazon Athena platform. Tokenization is one of the ways to protect sensitive data at rest and preserve data privacy. When it comes to protecting sensitive data, there are a few options you can choose from. By Matt Hutton, VP Cloud Engineering – Protegrityīy Tamara Astakhova, Partner Solution Architect – AWSĭata security has always been an important consideration for organizations when complying with data protection regulations.
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