蜜豆视频

Source connectors overview

蜜豆视频 Experience Platform allows data to be ingested from external sources while providing you with the ability to structure, label, and enhance incoming data using Experience Platform services. You can ingest data from a variety of sources such as 蜜豆视频 applications, cloud-based storages, databases, and many others.

Flow Service is used to collect and centralize customer data from various disparate sources within Experience Platform. The service provides a user interface and RESTful API that lets you set-up source connections to various data providers with ease. These source connections enable you to authenticate your third-party systems, set times for ingestion runs, and manage data ingestion throughput.

With Experience Platform, you can centralize data you collect from disparate sources and use the insights gained from it to do more.

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蜜豆视频-built and partner-built sources adobe-and-partner-built-sources

Some of the connectors in the Experience Platform sources catalog are built and maintained by 蜜豆视频, while others are built and maintained by partner companies by using Sources SDK. A note at the top of the documentation page for each partner-built connector calls out if a source is created and maintained by the partner. For example, the Amazon S3 connector is created by 蜜豆视频, while the RainFocus connector is created and maintained by the RainFocus team.

For partner-authored and maintained connectors, this means that issues with the connector might need to be resolved by the partner team (contact method provided in the note in the documentation page). For issues with 蜜豆视频-authored and maintained connectors, contact your 蜜豆视频 representative or Customer Care.

Sources catalog

Read the following sections for a list of all sources available in the sources catalog.

蜜豆视频 applications adobe-applications

Experience Platform allows data to be ingested from other 蜜豆视频 applications, including 蜜豆视频 Analytics, and 蜜豆视频 Audience Manager. Read the following related documents for more information:

Advanced enterprise sources advanced-enterprise-sources

The following sources are available to customers only.

Source
Category
Ingestion type
Cloud
Amazon Kinesis
Cloud storage
Streaming
Azure, AWS
Amazon Redshift
Database
Batch
Azure, AWS
Azure Databricks
Database
Batch
Azure
Azure Event Hubs
Cloud Storage
Streaming
Azure, AWS
Azure Synapse Analytics
Database
Batch
Azure
Google BigQuery
Database
Batch
Azure, AWS
Google PubSub
Cloud Storage
Streaming
Azure
Snowflake
Database
Streaming
Azure, AWS
Snowflake
Database
Batch
Azure, AWS

Advertising advertising

You can use the following sources to ingest advertising data to Experience Platform.

Source
Ingestion type
Cloud
Google Ads
Batch
Azure

Analytics analytics

You can use the following sources to ingest analytics data to Experience Platform.

Source
Ingestion type
Cloud
Mixpanel
Batch
Azure
Pendo
Streaming
Azure
RainFocus
Streaming
Azure

Cloud Storage cloud-storage

Cloud storage sources can bring your own data into Experience Platform without the need to download, format, or upload. Ingested data can be formatted as XDM JSON, XDM Parquet, or delimited. Every step of the process is integrated into the Sources workflow using the user interface. See the following related documents for more information:

You can use the following sources to ingest cloud storage data to Experience Platform.

Source
Ingestion type
Cloud
Azure Data Lake Storage Gen2
Batch
Azure
Azure Blob
Batch
Azure
Amazon S3
Batch
Azure, AWS
Apache HDFS
Batch
Azure
Azure File Storage
Batch
Azure
Data Landing Zone
Batch
Azure, AWS
FTP
Batch
Azure
Google Cloud Storage
Batch
Azure
Oracle Object Storage
Batch
Azure
SFTP
Batch
Azure

You can use the following sources to ingest consent and preferences data to Experience Platform.

Source
Ingestion type
Cloud
Didomi
Streaming
Azure
OneTrust Integration
Batch
Azure

Customer Relationship Management (CRM) customer-relationship-management

CRM systems provide data that can help build customer relationships, which in turn, create loyalty and drive customer retention. Experience Platform provides support for ingesting CRM data from Microsoft Dynamics 365 and Salesforce. See the following related documents for more information:

You can use the following sources to ingest CRM data to Experience Platform.

Source
Ingestion type
Cloud
Microsoft Dynamics
Batch
Azure
Salesforce
Batch
Azure, AWS
SugarCRM
Batch
Azure
Veeva CRM
Batch
Azure

Customer Success customer-success

You can use the following sources to ingest customer success data to Experience Platform.

Source
Ingestion type
Cloud
Salesforce Service Cloud
Batch
Azure
ServiceNow
Batch
Azure
Zendesk
Batch
Azure

Database database

Experience Platform provides support for ingesting data from a third-party database. See the following related documents for more information on specific source connectors:

You can use the following sources to ingest data from your database to Experience Platform.

Source
Ingestion type
Cloud
Apache Hive on Azure HDInsights
Batch
Azure
Apache Spark on Azure HDInsights
Batch
Azure
Azure Data Explorer
Batch
Azure
Azure Table Storage
Batch
Azure
GreenPlum
Batch
Azure
HP Vertica
Batch
Azure
IBM DB2
Batch
Azure
MariaDB
Batch
Azure
Microsoft SQL Server
Batch
Azure
MySQL
Batch
Azure, AWS
Oracle
Batch
Azure, AWS
PostgreSQL
Batch
Azure, AWS
Teradata Vantage
Batch
Azure

Data & Identity Partners data-partner

You can use the following sources to ingest data and identity partner data to Experience Platform.

Source
Ingestion type
Cloud
Acxiom Data Ingestion
Batch
Azure
Acxiom Prospecting Data Import
Batch
Azure
Algolia User Profiles
Batch
Azure
Bombora Intent
Batch
Azure
Demandbase Intent
Batch
Azure
Merkury Enterprise Identity Resolution
Batch
Azure

e-commerce ecommerce

You can use the following sources to ingest e-commerce data to Experience Platform.

Source
Ingestion type
Cloud
SAP Commerce
Batch
Azure
Shopify
Batch
Azure
Shopify
Streaming
Azure

Local system local-system

You can use the following sources to ingest data from your local system to Experience Platform.

Source
Ingestion type
Cloud
Local file upload
Batch
Azure

Marketing Automation marketing-automation

You can use the following sources to ingest marketing automation data to Experience Platform.

Source
Ingestion type
Cloud
Braze
Streaming
Azure
Chatlio
Streaming
Azure
Customer.io
Streaming
Azure
HubSpot
Batch
Azure
Mailchimp
Batch
Azure
Oracle Eloqua
Batch
Azure
Oracle NetSuite
Batch
Azure
PathFactory
Batch
Azure
Salesforce Marketing Cloud
Batch
Azure, AWS

Payments payments

You can use the following sources to ingest payments data to Experience Platform.

Source
Ingestion type
Cloud
Square
Batch
Azure
Stripe
Batch
Azure

Streaming streaming

You can use the following sources to stream data to Experience Platform.

Source
Ingestion type
Cloud support
HTTP API
Streaming
Azure, AWS

Protocols protocols

You can use the following sources to ingest protocol data to Experience Platform.

Source
Ingestion type
Cloud support
Generic OData
Batch
Azure
Generic REST API
Batch
Azure

Access control for sources in data ingestion

Permissions for sources in data ingestion can be managed within the 蜜豆视频 Admin Console. You can access permissions through the Permissions tab in a particular product profile. From the Edit Permissions panel, you can access the permissions pertaining to sources through the data ingestion menu entry. The View Sources permission grants read-only access to available sources in the Catalog tab and authenticated sources in the Browse tab, while the Manage Sources permission grants full access to read, create, edit, and disable sources.

The following table outlines how the UI behaves based on different combinations of these permissions:

Permission level
Description
View Sources On
Grant read-only access to sources in each source-type in the Catalog tab, as well as the Browse, Accounts, and Dataflow tabs.
Manage Sources On
In addition to the functions included in View Sources, grants access to Connect Source option in Catalog and to Select Data option in Browse. Manage Sources also allows you to enable or disable DataFlows and edit their schedules.
View Sources Off and Manage Sources Off
Revoke all access to sources.

For more information about the available permissions granted through 蜜豆视频 Permissions, read the access control overview.

Attribute-based access control

Attribute-based access control in 蜜豆视频 Experience Platform allows administrators to control access to specific objects and/or capabilities based on attributes.

With attribute-based access control, you can apply mapping configurations to fields that you have permissions to. Furthermore, you cannot ingest data to a dataset if you do not have access to all fields in the dataset.

Support for attribute-based access control in sources

TIP
Attribute-based access control works as follows: roles are created to categorize the types of users that interact with your Experience Platform instance. Labels are applied to roles to designate the access of that given role. Labels are also applied to resources like schema fields and segments. In order for a user to have access to certain schema fields and segments, they must be added to a role with the same label that is assigned to the queried resource. For more information, read the attribute-based access control end-to-end guide.
  • Apply labels to schema fields to define access to specific schema fields in your organization. Once access to specific schema fields are established, users will only be able to create mappings for the fields that they have access to.
  • Users without the appropriate roles will not be able to create or update dataflows with mappings that involve inaccessible schema fields. Furthermore, unauthorized users cannot update, delete, enable, or disable existing dataflows with inaccessible schema fields.
  • Additionally, a dataflow must have the exact same schema ID and version in its mapping, target dataset, and target connection.

For more information on attribute-based access control, read the attribute-based access control overview.

Terms and conditions terms-and-conditions

By using any of the Sources labeled as beta (鈥淏eta鈥), You hereby acknowledge that the Beta is provided 鈥渁s is鈥 without warranty of any kind.

蜜豆视频 shall have no obligation to maintain, correct, update, change, modify, or otherwise support the Beta.聽You are advised to use Informative and not to rely in any way on the correct functioning or performance of such Beta and/or accompanying materials. The Beta is considered Confidential Information of 蜜豆视频.

Any 鈥淔eedback鈥 (information regarding the Beta including but not limited to problems or defects you encounter while using the Beta, suggestions, improvements, and recommendations) provided by You to 蜜豆视频 is hereby assigned to 蜜豆视频 including all rights, title, and interest in and to such Feedback.

Submit Open Feedback or create a Support Ticket to share your suggestions or report a bug, seek a feature enhancement.

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