- PrivaceraCloud Release 7.4
- Enhancements and updates in PrivaceraCloud release 7.4
- Known Issues in PrivaceraCloud 7.4
- PrivaceraCloud User Guide
- Overview of PrivaceraCloud
- Connect applications with the setup wizard
- Connect applications
- About applications
- Connect Azure Data Lake Storage Gen 2 (ADLS) to PrivaceraCloud
- Connect Amazon Textract to PrivaceraCloud
- Athena
- Privacera Discovery with Cassandra
- Connect Databricks to PrivaceraCloud
- Databricks SQL
- Databricks SQL Overview and Configuration
- Planning and general process
- Prerequisites
- Databricks SQL with Privacera Hive
- Connect Databricks SQL application
- Grant Databricks SQL permissions to PrivaceraCloud users
- Define a resource policy
- Test the policy
- Databricks SQL PolicySync fields
- Configuring column-level access control
- View-based masking functions and row-level filtering
- Create an endpoint in Databricks SQL
- Databricks SQL Fields
- Databricks SQL Hive Service Definition
- Databricks SQL Masking Functions
- Databricks SQL Encryption
- Use a custom policy repository with Databricks
- Connect Databricks SQL to Hive policy repository on PrivaceraCloud
- Databricks SQL Overview and Configuration
- Connect Databricks Unity Catalog to PrivaceraCloud
- Connect S3 to PrivaceraCloud
- Prerequisites in AWS console
- Connect S3 application to PrivaceraCloud
- Enable Privacera Access Management for S3
- Enable Data Discovery for S3
- S3 AWS Commands - Ranger Permission Mapping
- S3
- AWS Access with IAM
- Access AWS S3 buckets from multiple AWS accounts
- Add UserInfo in S3 Requests sent via Dataserver
- Control access to S3 buckets with AWS Lambda function on PrivaceraCloud
- Dremio Plugin
- DynamoDB
- Connect Elastic MapReduce from Amazon application to PrivaceraCloud
- Connect EMR application
- EMR Spark access control types
- PrivaceraCloud configuration
- AWS IAM roles using CloudFormation setup
- Create a security configuration
- Create EMR cluster
- How to configure multiple JSON Web Tokens (JWTs) for EMR
- EMR Native Ranger Integration with PrivaceraCloud
- Connect EMRFS S3 to PrivaceraCloud
- Files
- GBQ
- Google Cloud Storage
- Connect Glue to PrivaceraCloud
- Google BigQuery for PolicySync
- Connect Kinesis to PrivaceraCloud
- Connect Lambda to PrivaceraCloud
- Microsoft SQL Server
- MySQL for Discovery
- Open Source Apache Spark
- Oracle for Discovery
- PostgreSQL
- Connect Power BI to PrivaceraCloud
- Presto
- Redshift
- Snowflake
- Starburst Enterprise with PrivaceraCloud
- Starburst Enterprise Presto
- Trino
- Connect users
- Data access Users, Groups, and Roles
- UserSync
- Portal user LDAP/AD
- Datasource
- Okta Setup for SAML-SSO
- Azure AD setup
- SCIM Server User-Provisioning
- User Management
- Identity
- Access Manager
- Access Manager
- Resource Policies
- Tag Policies
- Scheme Policies
- Service Explorer
- Reports
- Audit
- About data access users, groups, and roles resource policies
- Security zones
- Discovery
- Classifications via random sampling
- Privacera Discovery scan targets
- Propagate Privacera Discovery Tags to Ranger
- Enable offline scanning on Azure Data Lake Storage Gen 2 (ADLS)
- Enable Real-time Scanning of S3 Buckets
- Enable Real-time Scanning on Azure Data Lake Storage Gen 2 (ADLS)
- Enable Discovery Realtime Scanning Using IAM Role
- Encryption
- Overview of Privacera Encryption
- Encryption schemes
- Presentation schemes
- Masking schemes
- Create scheme policies
- Privacera-supplied encryption schemes for the Privacera API
- Privacera-supplied encryption schemes for the Bouncy Castle API
- API date input formats
- Deprecated encryption formats, algorithms, and scopes
- Privacera Encryption REST API
- PEG API endpoint
- PEG REST API encryption endpoints
- Prerequisites
- Common PEG REST API fields
- Construct the datalist for the /protect endpoint
- Deconstruct the response from the /unprotect endpoint
- Example data transformation with the /unprotect endpoint and presentation scheme
- Example PEG API endpoints
- Make encryption API calls on behalf of another user
- Privacera Encryption UDF for masking in Databricks on PrivaceraCloud
- Privacera Encryption UDFs for Trino on PrivaceraCloud
- Syntax of Privacera Encryption UDFs for Trino
- Prerequisites for installing Privacera Crypto plug-in for Trino
- Download and install Privacera Crypto jar
- Set variables in Trino etc/crypto.properties
- Restart Trino to register the Privacera encryption and masking UDFs for Trino
- Example queries to verify Privacera-supplied UDFs
- Privacera Encryption UDF for masking in Trino on PrivaceraCloud
- Encryption UDFs for Apache Spark on PrivaceraCloud
- Launch Pad
- Settings
- Dashboard
- Usage statistics
- Operational status of PrivaceraCloud and RSS feed
- How to Get Support
- Coordinated Vulnerability Disclosure (CVD) Program of Privacera
- Shared Security Model
- PrivaceraCloud Previews
- Preview: File Explorer for S3
- Preview: File Explorer for Azure
- Preview: File Explorer for GCS
- Preview: Scan Generic Records with NER Model
- Preview: Scan Electronic Health Records with NER Model
- Preview: OneLogin setup for SAML-SSO
- Preview: Azure Active Directory SCIM Server UserSync
- Preview: OneLogin UserSync
- Preview: PingFederate UserSync
- Quickstart for Databricks Unity Catalog on PrivaceraCloud
- What do I need to do in my Databricks Workspace?
- Where is the sample dataset in my Databricks Workspace?
- What should I do in the PrivaceraCloud web portal?
- Access use-case - How do I give a user access to a table or restrict from running a SQL select query?
- Access use-case - How do I restrict a user from seeing contents of a column in the result of a SQL select query?
- Column masking use-case - How do I restrict a user from seeing contents of a column by masking the values in the result of a SQL select query?
- Access use-case - How do I disallow a user from seeing certain rows of a table?
- PrivaceraCloud documentation changelog
Privacera Encryption UDFs for Trino on PrivaceraCloud
This section describes how to install and configure the Privacera jar in Trino in order to use the Privacera-supplied Encryption UDFs to encrypt and decrypt data in Trino.
These encryption UDFs are defined in the Privacera Crypto jar. You don't have to define them.
Note
The protect and unprotect UDFs work properly with privacera_starburstenterprise
but not with privacera_hive
. Starburst has three possible configurations (Hive, System, and Hive + System), of which only the system-level has been verified.
Syntax of Privacera Encryption UDFs for Trino
The Privacera Crypto jar includes the following encryption-related UDFs. The Privacera Crypto jar also includes a mask
UDF. See Privacera Encryption UDF for masking in Trino on PrivaceraCloud.
Encrypt: With the quoted '<encryption_scheme_name>'
, the protect
UDF encrypts all values of <column_name>
in <table_name>
:
select protect(<column_name>, <encryption_scheme_name>) from <table_name>;
Decrypt: With the quoted '<encryption_scheme_name>
', the unprotect
UDF decrypts all values of <column_name>
in <table_name>
:
select unprotect(<column_name>, '<encryption_scheme_name>') from <table_name>;
Decrypt with obfuscation: With the quoted '<encryption_scheme_name>
', the unprotect
UDF decrypts all values of <column_name>
, further obfuscates the decrypted data via <presentation_scheme_name>
, and and writes the decrypted, obfuscated data to <optional_column_name_for_obfuscated_data>
in <table_name>
:
select unprotect(<column_name>, '<encryption_scheme_name>' <optional_column_name_for_obfuscated_data>) from <table_name>;
For example usage, see Example Queries to Verify Privacera-supplied UDFs.
Prerequisites for installing Privacera Crypto plug-in for Trino
The following should already be ready:
A fully functional installation of Trino. In these examples, the location of the installed Trino software is shown as
<absolute_path_to_trino_home_directory>.
The users who will use the UDFs have sufficient access to the pertinent tables.
Download and install Privacera Crypto jar
To install the Privacera Crypto jar file in Trino:
In your PrivaceraCloud account, go to Settings > API Key.
Under the PEG heading, for PEG Crypto Starburst Trino Jar, click DOWNLOAD JAR.
Alternatively, click COPY URL, and use that URL with
wget
on the command line of your Trino instance.Save the jar file.
Copy the jar file to your Trino instance
plugins/privcera
directory, which you should create if it does not already exist.
Set variables in Trino etc/crypto.properties
Create a file in Trino called etc/crypto.properties
in one of the following locations:
For non-container deployment:
<absolute_path_to_trino_home_directory>/etc/crypto.properties
.For container deployment:
/data/starburst/etc/crypto.properties
.
Add the following properties to the file, where:
<PrivaceraCloud_Encryption_URL>
is obtained by clicking the Copy Url link in Settings > Api Key<PrivaceraCloud_Encryption_Username>
and<PrivaceraCloud_Encryption_Password>
are obtained from Settings > Account. Under the PRIVACERA ENCRYPTION heading, click Edit to display the Privacera Encryption Configuration popup window with the username and password.
privacera.crypto.native.threadpool.size=100 privacera.crypto.shared.secret=secret privacera.crypto.session.cache.size=1000 privacera.deployment.mode.saas=true privacera.peg.base.url=<PrivaceraCloud_Encryption_URL> privacera.peg.username=<PrivaceraCloud_Encryption_Username> privacera.peg.password=<PrivaceraCloud_Encryption_Password>
Restart Trino to register the Privacera encryption and masking UDFs for Trino
# Go to Trino bin directory cd <absolute_path_to_trino_home_directory>/bin # Restart Trino ./launcher restart
Example queries to verify Privacera-supplied UDFs
See the syntax detailed in Syntax of Privacera Encryption UDFs for Trino.
Encrypt: The following example query with the protect
UDF encrypts the cleartext CUSTOMER_EMAIL
column of the CUSTOMERS
table using the quoted'EMAIL'
encryption scheme:
select protect(CUSTOMER_EMAIL, `EMAIL`) from CUSTOMERS;
Decrypt: The following example query with the unprotect
UDF decrypts the encrypted CUSTOMER_EMAIL
column of the CUSTOMERS
table using the quoted 'EMAIL'
encryption scheme:
select unprotect(CUSTOMER_EMAIL, 'EMAIL') from CUSTOMERS;
Decrypt with obfuscation: The following example query with the unprotect
UDF decrypts the encrypted CUSTOMER_EMAIL
column of the CUSTOMERS
table using the quoted 'EMAIL'
encryption scheme:
select unprotect(CUSTOMER_EMAIL, 'EMAIL' PRESENTATION_EMAIL) OPTIONAL_OUTPUT_COLUMN_FOR_OBFUSCATED_DATA from CUSTOMERS;