Palantir
  • Documentation
    • Documentation
    • Apollo
    • Gotham
  • Search documentation
    karat

    +

    K

    API Reference ↗Send feedback
    • Capabilities
      • AI Platform (AIP)
      • Data connectivity & integration
      • Model connectivity & development
      • Ontology building
      • Developer toolchain
      • Use case development
      • Analytics
      • Product delivery
      • Security & governance
      • Management & enablement
    • Getting started
    • Platform updates
      • Announcements
      • Release notes

    Data connectivity & integration

    • Overview
    • Connecting to data
    • What is a data pipeline?
    • Application reference
    • Core concepts
      • Datasets
      • Streams
      • Media sets (unstructured data)
      • Branching
      • Builds
      • Schedules
      • Health checks
      • Iceberg tables [Beta]
      • Virtual tables
      • Change data capture (CDC)
      • Views
    • Release notes ↗
    • Connectivity
    • Data Connection
      • Overview
      • Core concepts
      • Architecture
      • Initial setup overview
      • Permissions reference
      • FAQ
      • Direct connections, agents, and agent proxies
        • Set up a direct connection
        • Set up an agent
        • Agent configuration reference
        • Agent worker runtime configuration reference
        • Agent proxy runtime configuration reference
        • Troubleshooting reference
        • OpenID Connect (OIDC) authentication
      • Sources
        • Set up a source
        • Source exploration
      • Syncs
        • Set up a sync
        • Set up a streaming sync
        • File-based syncs
        • Set up a media set sync
        • Optimize JDBC syncs
        • Troubleshooting reference
      • Push data into a stream
      • Exports
        • Exports
        • Export tasks [Legacy]
      • Webhooks
        • Overview
        • Set up a Webhook
        • Configuration reference
      • Listeners [Beta]
        • Overview
        • Security
        • Event processing
        • Set up a Google Pub/Sub listener
        • Set up a Jira listener
        • Set up a Slack listener
      • External connections from code
        • External transforms
        • External functions
        • Sources in Python environments
        • Legacy external transforms
      • Add sync to a Marketplace product [Beta]
      • Add virtual tables to a Marketplace product [Beta]
    • HyperAuto (SDDI)
      • Overview
      • Architecture
      • Supported sources
      • Getting started
      • Making edits via proposals
      • Configuration options
      • Folder-based SAP pipelines
      • AIP features
      • HyperAuto V1 [Sunset]
        • Overview
        • Getting started
        • Source exploration
        • Cockpit
        • Configuration reference
        • Migrating from HyperAuto V1 to V2
        • FAQ
    • Private links (VPC connectivity)
      • Overview
      • Supported private link providers
        • AWS Private Link
        • Azure Private link
        • GCP Private Service Connect
      • Customer-owned domain with Private Link
    • Connector type reference
    • Overview
    • Available connectors
      • Act! CRM
      • Act-On
      • ActiveCampaign
      • Acumatica
      • Adobe Analytics
      • Adobe Commerce
      • ADP
      • Agent-level filesystem
      • Airtable
      • AlloyDB
      • Amazon DynamoDB
      • Amazon Kinesis
      • Amazon Marketplace
      • Amazon S3
      • Apache CouchDB
      • Apache HBase
      • Apache Hive
      • Apache Phoenix
      • Asana
      • Authorize.Net
      • Avalara
      • AWS Redshift
      • Azure Active Directory
      • OneLake and Azure Blob Filesystem (ABFS)
      • Azure Cosmos DB
      • Azure Data Catalog
      • Azure DevOps
      • Azure Synapse
      • Azure Table Storage
      • Basecamp
      • BigCommerce
      • BigQuery
      • Blackbaud Raisers Edge NXT
      • Bugzilla
      • Bullhorn CRM
      • Cassandra
      • Certinia
      • Cloudant
      • CockroachDB
      • Confluence
      • Couchbase
      • Databricks
      • Db2
      • DocuSign
      • Domino
      • eBay
      • eBay Analytics
      • EnterpriseDB
      • Exact Online
      • Facebook
      • Facebook Ads
      • FreshBooks
      • Freshdesk
      • FTP/FTPS
      • GitHub
      • Generic connector
      • Gmail
      • Google Campaign Manager
      • Google Cloud Storage
      • Google Contacts
      • Google Data Catalog
      • Google Directory
      • Google Drive
      • Google Pub/Sub
      • Google Search
      • Google Spanner
      • GraphQL
      • Greenplum
      • HDFS
      • Highrise
      • Hubspot
      • IBM Cloud Data Engine
      • IBM Cloud Object Storage
      • Instagram
      • JDBC (custom)
      • Jira Service Management
      • Kafka
      • Kintone
      • LDAP
      • LinkedIn
      • LinkedIn Marketing Solutions
      • Mailchimp
      • Marketo
      • MarkLogic
      • Microsoft Access
      • Microsoft Ads
      • Microsoft Bing
      • Microsoft Dataverse
      • Microsoft Dynamics 365
      • Microsoft Dynamics CRM
      • Microsoft Dynamics NAV
      • Microsoft Excel
      • Microsoft Excel Online
      • Microsoft Exchange
      • Microsoft Office 365
      • Microsoft OneDrive
      • Microsoft OneNote
      • Microsoft Planner
      • Microsoft Power BI® XMLA
      • Microsoft Project
      • Microsoft SQL Server
      • Microsoft Teams
      • Monday
      • MYOB
      • NoSQL stores
      • OData
      • Odoo
      • Oracle Database
      • Oracle Eloqua
      • Oracle Fusion Cloud Financials
      • Oracle Fusion Cloud HCM
      • Oracle Fusion Cloud SCM
      • Oracle NetSuite
        • Overview
        • NetSuite SuiteAnalytics
        • NetSuite SuiteQL (JDBC)
        • NetSuite SuiteTalk (JDBC)
      • Oracle Sales
      • Oracle Service Cloud
      • Outreach
      • Paylocity
      • PayPal
      • PI System
      • Pinterest
      • Pipedrive
      • PostgreSQL
      • Presto
      • Quickbase
      • QuickBooks Desktop
      • QuickBooks Online
      • QuickBooks POS
      • Raisers Edge NXT
      • Reckon
      • Reckon Accounts Hosted
      • Redis
      • REST API plugin (legacy)
      • REST APIs
      • Sage 200
      • Sage 300
      • Sage 50 UK
      • Sage Business Cloud Accounting
      • Salesforce
      • Salesforce Marketing Cloud
      • Salesforce Marketing Cloud Account Engagement
      • Salesloft
      • SAP Business One
      • SAP BusinessObjects BI
      • SAP ByDesign
      • SAP Cloud for Customer
      • SAP Concur
      • SAP Fieldglass
      • SAP HANA XSA
      • SAP SuccessFactors
      • SendGrid
      • SFTP
      • SharePoint Online
      • ShipStation
      • Shopify
      • SingleStore
      • Slack [Beta]
      • Smartsheet
      • SMB
      • Snapchat Ads
      • Snowflake
      • Spark SQL
      • Splunk
      • Square
      • Streak
      • Stripe
      • SugarCRM
      • SuiteCRM
      • SurveyMonkey
      • SybaseIQ
      • Tableau CRM Analytics
      • Tally
      • TaxJar
      • Trello
      • TSheets
      • Twilio
      • Twitter Ads
      • Veeva Vault
      • Wave Financial
      • WooCommerce
      • WordPress
      • Xero
      • Xero WorkflowMax
      • YouTube Analytics
      • Zendesk
      • Zoho Books
      • Zoho Creator
      • Zoho CRM
      • Zoho Inventory
      • Zoho Projects
      • Zuora
      • Other source types
    • Palantir-provided drivers for JDBC sources
    • SAP
      • Overview
      • Architecture
      • Download
      • SAP Add-on
        • Installation overview
        • Install the Connector
        • Install a Remote Agent
        • Install a Remote Agent for 4.6C/620/640
        • Install a Support Package
        • Install a Fix Pack
        • Configure SAP SLT
        • Create an RFC connection
        • Uninstall the Connector or Remote Agent
        • Add-on Cockpit
        • Add-on parameters
        • Add-on housekeeping
        • Add-on authorization roles
        • Add-on backup and restore
      • Foundry SAP setup
        • Create a new source
        • Source exploration
        • Create a new sync
        • Create a new streaming sync [Beta]
        • Incremental syncs
        • Supported sync types
        • Dynamic filters
      • How-Tos
        • Extract long text from SAP
        • Configure custom authorizations and role management
        • Configure BEx query extraction
        • Configure extractors
        • Configure function module extraction
        • Configure transaction code and report extraction
        • Ingest HANA views from SAP
        • User-attributed SAP writeback with OAuth 2.0
      • FAQ
    • Workflows
    • Resource guides
      • Streaming
      • Flink fundamentals
      • Reset stream
      • Stream monitoring [Beta]
      • Streaming profiles
    • Building pipelines
      • Overview
      • Types of pipelines
      • Supported languages
      • Considerations: Pipeline Builder and Code Repositories
      • Getting started
        • Create a dataset batch pipeline with Pipeline Builder
        • Create a media set batch pipeline with Pipeline Builder
        • Create a dataset batch pipeline with Code Repositories
        • Create a media set batch pipeline with Code Repositories
        • Create an incremental pipeline with Pipeline Builder
        • Create a streaming pipeline with Pipeline Builder
        • Lightweight pipelines with Pipeline Builder [Beta]
      • Incremental pipelines
        • Overview
        • Creating incremental syncs
        • Maintaining high performance
      • Streaming pipelines
        • Overview
        • Comparison: Streaming vs. batch
        • Performance considerations
        • Streaming compute usage
        • Keys
        • Streaming stateful transforms
      • Scheduling
        • Overview
        • Create a schedule
        • View and modify schedules
        • Find and manage schedules
        • Common scheduling configurations
        • Trigger types reference
        • Troubleshooting reference
        • Add schedule to a Marketplace product [Beta]
      • Logic Flows [Sunset]
        • Overview
        • Create a connected flow
        • Compass File Lister
      • Best practices
        • Recommended Project and team structure
        • Development best practices
        • Branching and release process
        • Scheduling best practices
        • Building a production pipeline
      • Pipelines on unstructured data
        • Overview
        • Infer a schema for CSV or JSON files
      • Pipeline security
        • Overview
        • Guidance on removing markings
        • Remove inherited markings and organizations
    • Optimizing and debugging pipelines
      • Overview
      • Debugging pipelines
        • Debug a failing job
        • Debug a failing pipeline
        • Debug a failing stream
        • Troubleshoot out-of-memory errors
        • Troubleshooting schedules
      • Spark
        • Core concepts
        • Understand Spark details
        • Spark UI
        • Understand compute usage
        • Native acceleration
        • Apply Spark profiles
        • Spark profiles reference
      • Hive-style partitioning
        • Overview
      • Dataset projections
        • Overview
        • Set up a projection
        • Advanced details
        • Comparison with hive-style partitioning
      • Optimizing pipelines
        • Usage optimization
    • Maintaining pipelines
      • Overview
      • Stability recommendations
      • Recommended health checks
      • Define data expectations
      • Recommended support processes
      • Monitoring at scale
      • Monitoring rules reference
      • Sending alerts to external systems
    • Applications
    • Pipeline Builder
      • Overview
      • Core concepts
      • Navigation
      • AIP features
      • Functions Index
      • Input datasets
        • Overview
        • Add datasets
        • Add generated data
        • Configure sources and dataset syncs
        • Computation modes for batch
      • Transforms
        • Overview
        • Transform data
        • Join data
        • Union data
        • Transform media
        • Create geospatial transforms
        • Create unique IDs
        • Joins in streaming pipelines
        • Use LLM node
        • Split transform
        • Pattern mining
      • Pipeline outputs
        • Overview
        • Add a dataset output
        • Add a media set output
        • Add a virtual table output [Beta]
        • Add an Ontology output
        • Add a geotemporal series sync output
        • Preview pipeline
        • Deliver pipeline
        • Remove Markings on outputs
        • Breaking changes
      • Pipeline management
        • Overview
        • Add an input sampling strategy
        • Pipeline parameters
        • Build settings
        • Create custom functions
        • Show and hide nodes
        • Folders in Pipeline Builder
        • Color groups
        • Charts
        • Text nodes
        • Checkpoints
        • Job groups
        • Export pipeline code
        • Find and replace
      • Branches
        • Overview
        • Create a branch
        • Propose a change
        • Approve a change
        • Branch protection
        • Fallback branches
      • Schedules
        • Overview
        • Create a schedule
        • Create a schedule with AIP
      • Data expectations
        • Overview
        • Configure data health checks
        • Configure unit tests
      • Add pipeline to a Marketplace product [Beta]
    • Pipeline Builder Expressions
      • Absolute value
      • Add numbers
      • Add or update map
      • Add or update struct field
      • Add value to date
      • All array elements satisfy
      • All of
      • And
      • Any array element satisfy
      • Any of
      • Approximate median
      • Approximate percentile
      • Arccos
      • Arcsin
      • Arctan
      • Arctan2
      • Area
      • Array add
      • Array cartesian product
      • Array concat
      • Array contains
      • Array contains null
      • Array difference
      • Array distinct
      • Array element
      • Array elements are distinct
      • Array flatten
      • Array intersect
      • Array maximum
      • Array minimum
      • Array position
      • Array remove
      • Array repeat
      • Array reverse
      • Array sort
      • Array sort by struct key
      • Array union
      • Arrays have intersection
      • Arrays zip
      • Base 64 decode to string
      • Base64 decode
      • Base64 encode
      • Bit shift left
      • Bit shift right
      • Buffer H3 indices
      • Calculate destination point
      • Calculate haversine distance
      • Case
      • Cast
      • Ceil
      • Change timestamp time zone
      • Character-wise translate string
      • Chunk string
      • Cipher decrypt
      • Cipher encrypt
      • Cipher hash
      • Clean string
      • Collect array
      • Collect distinct array
      • Compact a set of H3 indices
      • Concatenate strings
      • Construct delegated media Gotham identifier (GID)
      • Convert DMS to GeoPoint
      • Convert GeoPoint to DMS
      • Convert GeoPoint to Geohash
      • Convert GeoPoint to MGRS
      • Convert GeoPoint to geometry
      • Convert MGRS to GeoPoint
      • Convert a string to date
      • Convert a string to timestamp
      • Convert base
      • Convert between angle units
      • Convert between distance units
      • Convert between time units
      • Convert between weight units
      • Convert data to JSON
      • Convert from Ontology GeoPoint
      • Convert from hexadecimal
      • Convert from hexadecimal to string
      • Convert geocentric coordinates to WGS 84 geodesic coordinates
      • Convert legacy OffsetDateTime
      • Convert linestring to polygon
      • Convert timestamp from UTC
      • Convert timestamp to UTC
      • Convert to Ontology GeoPoint
      • Convert to hexadecimal
      • Convert to octal
      • Cosine
      • Covariance
      • Create GeoPoint
      • Create GeoPoint from coordinate system
      • Create an empty array
      • Create array
      • Create ellipse geometry
      • Create geodesic line string
      • Create linestring geometry
      • Create map from arrays
      • Create null value
      • Create range fan geometry
      • Create simple geometries from ordered rows of GeoPoints
      • Create struct column
      • Create time series reference values
      • Current date
      • Current timestamp
      • Date sequence
      • Decode
      • Decode Geobuf as GeoJSON
      • Dense rank
      • Distinct count
      • Divide numbers
      • Encode GeoJSON as Geobuf
      • Ends with
      • Epoch milliseconds to date
      • Epoch milliseconds to timestamp
      • Epoch seconds to date
      • Epoch seconds to timestamp
      • Equals
      • Explode array
      • Explode array with position
      • Explode map
      • Exponential
      • Extract all regex matches
      • Extract date part
      • Extract document metadata
      • Extract imagery metadata
      • Extract layout-aware content from PDF
      • Extract layout-aware content from images
      • Extract map keys
      • Extract map values
      • Extract offset from legacy OffsetDateTime
      • Extract table of contents from PDF
      • Extract text from PDF
      • Extract text from PDF (using OCR)
      • Extract text from images (using OCR)
      • Extract timestamp part
      • Filter array elements
      • Filter by geometry type
      • First
      • First non null value (coalesce)
      • Floor
      • Format date as string
      • Format number
      • Format string
      • Format timestamp as string
      • Geometries have intersection
      • Geometry 3d affine transformation
      • Geometry array (unary) union
      • Geometry array line dissolve
      • Geometry buffer
      • Geometry centroid
      • Geometry contains
      • Geometry difference
      • Geometry explode to array
      • Geometry intersection
      • Geometry length
      • Geometry rotate 2d
      • Geometry set z-coordinate
      • Geometry shortest distance
      • Geometry standardize
      • Geometry symmetric difference
      • Geometry translate expression
      • Geometry union
      • Get H3 index
      • Get H3 indices covering a geometry
      • Get MIME type
      • Get PDF page dimensions
      • Get XZ curve index of an envelope
      • Get bearing from start point to end point
      • Get geometry envelope
      • Get lat/long bounding box struct
      • Get neighbors of an H3 index
      • Get struct field
      • Get the convex hull of a geometry
      • Greater than
      • Greater than or equals
      • Greatest
      • Grouped geometry envelope
      • Grouped geometry union
      • Grouped latitude/longitude bounding box
      • Gzip decompress
      • H3 cell to children
      • H3 cell to parent
      • H3 to geometry
      • Hash sha256
      • Interpolate geo point along linestring
      • Is NaN
      • Is empty struct
      • Is in
      • Is not null
      • Is null
      • Is valid GeoJSON
      • Is valid Geohash
      • Is valid H3 index
      • Is valid MGRS
      • Is valid MIME type
      • Is valid Ontology GeoPoint
      • Is valid delegated media gid
      • Is valid media reference
      • Is valid rid
      • Is valid uuid
      • Join array
      • Lag
      • Last
      • Last day of the week/month/quarter/year
      • Lead
      • Least
      • Left of string
      • Left pad string
      • Length
      • Less than
      • Less than or equals
      • Levenshtein distance
      • Linear regression gradient
      • Logarithm
      • Logarithm with base
      • Logical type cast
      • Lowercase
      • Map values
      • Max
      • Max by
      • Mean
      • Min
      • Min by
      • Mode
      • Modulo
      • Multiply numbers
      • Natural random number
      • Negate
      • Normal random number
      • Not
      • Not any
      • Nth chain in polygon
      • Nth point in linestring
      • Nullify empty string
      • Or
      • Parse GeoJSON from a non-WGS 84 coordinate system
      • Parse JSON string
      • Parse KML string as geometry
      • Parse XML as schema
      • Parse classification string
      • Parse duration
      • Parse phone number
      • Parse well known binary as geometry
      • Parse well known text as geometry
      • Percent rank
      • Perimeter
      • Pivot
      • Positive modulo
      • Power of
      • Prepare geometry
      • Product
      • Rank
      • Reduce array elements
      • Regex extract
      • Regex find
      • Regex index
      • Regex match
      • Regex replace
      • Remove map entry by key
      • Rename struct field
      • Right of string
      • Right pad string
      • Round number
      • Row count
      • Row number
      • Sample covariance
      • Sample variance
      • Secant
      • Sentence case
      • Sequence
      • Similarity score
      • Simplify geometry
      • Sine
      • Skip bytes
      • Slice array
      • Soundex
      • Split string
      • Square root
      • Standard deviation
      • Starts with
      • String after delimiter
      • String before delimiter
      • String contains
      • Substring
      • Subtract multiple expressions
      • Subtract numbers
      • Subtract value from date
      • Sum
      • Sum of array elements
      • Tangent
      • Text segmentation
      • Text to embeddings
      • Timestamp add
      • Timestamp difference
      • Timestamp sequence
      • Timestamp subtract
      • Timestamp to epoch millis
      • Timestamp to epoch seconds
      • Title case
      • Transcribe audio into JSON using CPU
      • Transcribe audio into JSON using GPU
      • Transcribe audio into text
      • Transform array element
      • Transform map keys
      • Transform map values
      • Trim whitespace
      • Truncate date
      • Truncate timestamp
      • Uncompact a set of H3 indices
      • Unicode normalize
      • Uniform random number
      • Universally unique identifier (uuid) (unstable)
      • Uppercase
      • Url decode
      • Url encode
      • Use LLM
      • Value from map
      • Variance
    • Pipeline Builder Transforms
      • Aggregate
      • Aggregate on condition
      • Aggregate over window
      • Anti join
      • Apply expression
      • Apply multiple expressions
      • Apply to multiple columns
      • Array elements to columns
      • Assign timestamps and watermarks
      • Coalesce data
      • Compute if expression absent
      • Convert media set to table rows
      • Cross join
      • Date distribution
      • Drop columns
      • Drop duplicates
      • Empty file
      • Empty media set file
      • Empty table
      • Extract file metadata from dataset as rows
      • Extract many struct fields
      • Extract rows from a CSV file
      • Extract rows from a GeoJSON file
      • Extract rows from a JSON file
      • Extract rows from a dataset of email files
      • Extract rows from a dataset of text files
      • Extract rows from an Excel file
      • Extract rows from an XML file
      • Extract rows from shapefile
      • Filter
      • Filter files
      • First union by name
      • Flatten struct
      • Frequent pattern growth
      • Geo distance inner join
      • Geo distance left join
      • Geo intersection inner join
      • Geo intersection left join
      • GeoPoint-to-GeoPoint 3d distance inner join
      • Geometry intersection join
      • Geometry knn inner join
      • Geometry knn left join
      • Get media references (datasets)
      • Heartbeat detection
      • Inner join
      • Join
      • K-means clustering
      • KNN join
      • Keeps duplicates
      • Key by
      • Left join
      • Left lookup join
      • Manually entered table
      • Mapping join
      • Narrow union by name
      • Normalize column names
      • Numeric distribution
      • Outer caching join
      • Outer caching join
      • Outer join
      • Parse KML files into geometry lists
      • Pivot
      • Project over window
      • Rename columns
      • Repartition data
      • Rollup
      • Row size
      • Select columns
      • Semi join
      • Sort
      • Split on condition
      • Text block
      • Time bounded drop duplicates
      • Time bounded drop out of order
      • Time bounded event time sort
      • Top rows
      • Union by name
      • Union files
      • Unpivot
      • Unzip files
      • Wide union by name
      • Window
    • Code Repositories
      • Overview
      • Navigation
      • Configuration
        • Configure Code Repositories settings in Control Panel
      • FAQ
      • Transforms
        • Create transforms
        • Preview transforms
        • Debug transforms
        • Use project references
        • Analyze the impact of changes
      • Unit tests
      • Pin Spark modules in-platform
      • Libraries
      • Documentation
      • AIP features
      • Add dataset transformation to a Marketplace product [Beta]
      • Artifact repositories
        • Overview
        • Navigation
        • Create an Artifact repository
        • Delete an Artifact repository
        • Publish an Artifact
        • Recall an Artifact
        • Manage permissions
      • Advanced workflows
        • Create custom checks
        • Prepare datasets for download
      • Administer repositories
        • Overview
        • Branch settings
        • Repository settings
        • Repository upgrades
        • Spark profiles
        • Artifact settings
        • Ontology imports
        • Advanced repository settings
        • Compute Usage
    • Data Lineage
      • Overview
      • Navigation
      • FAQ
      • Graphs
        • Explore data lineage
        • Explore artifacts and ontology entities
        • Save and share a graph
        • Node coloring
        • Graph elements reference
      • Understand and manage datasets
        • View dataset preview and logic
        • View build timeline
        • Understand out-of-date datasets
        • Find datasets with a given column
        • Build datasets
        • Manage schedules
        • Roll back a pipeline [Beta]
      • Understand permissions
        • Check resource permissions
        • See the impact of marking changes
    • Data Health
      • Overview
      • Builds and checks FAQ
      • Health checks
        • Types of checks
        • Check evaluation
        • Watching checks
        • Notifications and issues
        • Checks reference
      • Check groups [Sunset]
        • Overview
        • Create and watch a check group
        • View and understand a check group
      • Add health checks to a Marketplace product [Beta]
    • Dataset Preview
      • Overview
      • CSV parsing
      • SQL preview
      • FAQ
    • Linter
      • Overview
      • Modes
      • Recommendations
      • Rules
      • Sweep schedules
      • Impact tracking
    • Peer Manager [Experimental]
      • Overview
      • Core concepts
      • Create a peer connection
      • FAQ
    • Preparation [Sunset]
      • Overview
      • Getting started
      • Create a simple preparation
      • Project references
      • Basic examples
      • Advanced examples
      • FAQ
    • Recipes [Sunset]
      • Overview
      • Core concepts
      • Create a recipe
      • View all recipes
      • Configure notifications
      • Edit a recipe
    • Transforms
    • Python
      • Overview
      • Getting started
      • Python version support
      • Basic transforms
        • Transforms and pipelines
        • Project structure
        • Read and write unstructured files
        • Unit tests
        • Debugging
      • Incremental transforms
        • Overview
        • Reference
        • Examples
        • Abort transactions
        • Create historical dataset from snapshots
        • Incremental media sets
        • Limit batch size of incremental inputs
      • Python environment
        • Overview
        • Environment creation overview
        • Troubleshooting guide
      • Libraries
        • Discover and use Python libraries
        • Share Python libraries
      • Set up local development
      • Accelerated Spark transforms
        • Accelerate Spark with Velox
      • Lightweight transforms
        • Overview
        • Lightweight transforms API
        • Examples of Lightweight transforms
      • Virtual tables and compute pushdown
        • Overview
        • BigQuery compute pushdown
        • Databricks compute pushdown
        • Snowflake compute pushdown
      • AIP
        • Orchestrators
      • Palantir-provided models
        • Use Palantir-provided language models within transforms
      • Container transforms
        • Overview
        • Spark sidecar transforms
      • Data expectations
        • Getting started
        • Reference
      • Read files in a repository
      • Output column metadata
      • API reference
        • Transforms
        • Transforms classes
        • Foundry connectors
      • Use media sets with Python transforms
      • PySpark reference
        • Overview
        • Coming from Python
        • Syntax cheat sheet
        • Style guide
        • Concept: Columns
        • Concept: Queries
        • Concept: User-defined functions
        • Filtering
        • Dates and timestamps
        • Strings
        • Math
        • Joins
        • Aggregation and pivot tables
        • Window
        • Logging
        • Other
    • Java
      • Overview
      • Getting started
      • Basic transforms
        • Transforms and pipelines
        • Examples
        • Read and write unstructured files
        • Unit tests
        • Advanced configuration
      • Incremental transforms
      • User-defined functions
      • Share code across repositories
      • Set up local development
      • Syntax cheat sheet
    • SQL
      • Overview
      • Spark SQL Reference
    • R
      • Overview
      • Getting started
    • Common
      • Local preview
      • Transforms versions
      • Optimize multi-output transforms
    • Data formats
    • Time series
      • Overview
      • Time Series Catalog
      • Concepts glossary
      • Time series setup
        • Set up a time series
        • Create or select a time series object type
        • Time series properties
        • Time series syncs
        • Sensor object type setup
        • Time series permissions
        • Time series interpolation
        • Advanced setup
      • Time series alerting
        • Overview
        • Set up a time series alerting automation
        • FAQ
      • Derived series
        • Overview
        • Create derived series
        • Manage derived series
        • Manually save derived series to the Ontology
        • Derived series permissions
        • Embed in a Workshop module
        • FAQ
      • Using time series
        • Use time series in Foundry
        • Use time series in Functions
        • Work with time series in FoundryTS
      • Time series property use case
        • Overview
        • Create time series properties with Pipeline Builder
        • Add time series properties to objects with Ontology Manager
        • Use time series properties on objects in a Workshop module and Quiver analysis
      • Sensor object types use case
        • Overview
        • Create sensor object type data in Pipeline Builder
        • Create sensor object types with Ontology Manager
        • Use sensor object type time series data in Workshop and Quiver
      • Compute usage
      • FAQ
    • Geospatial
      • Overview
      • Types of geospatial data
      • Coordinate reference systems and projections
      • Example workflows
      • Use raster data
      • Use vector data in transforms [Legacy]
      • Use geospatial data in the Ontology
      • Add Ontology data to Gaia
    • Geotemporal series [Beta]
      • Overview
      • Concepts glossary
      • Data modeling
      • Integrating geotemporal series with the Ontology
      • FAQ
    • Media sets (unstructured data)
      • Overview
      • Advanced media set settings
      • Importing media
      • Transforming media
      • Using media in the Ontology
      • Using media in Workshop
      • Example media workflows
        • Overview
        • Add a DICOM media set
        • Transcribe an audio media set
      • Media usage costs and limits
    • Microsoft Excel
      • Transforms Excel Parser
    • S3-compatible API for Foundry datasets
    Data connectivity & integrationMedia sets (unstructured data)Example media workflowsOverview

    Media workflows

    Now that you have set up a media set and can use your media in the Palantir platform, let's walk through some example workflows.

    • Using DICOM media sets
    • Audio transcription workflow
    • Create a media set batch pipeline with Pipeline Builder
    • Create a media set batch pipeline with Code Repositories
    ←
    PREVIOUSUsing media in Workshop
    NEXTAdd a DICOM media set
    →

    © 2025 Palantir Technologies Inc. All rights reserved.

    Cookies Statement ↗Privacy Statement ↗